Papers
Tue 29 Sep 2026
1,051 papers
- PRISM: PRIvileged Sibling-guided Multi-Agent Topology DesignLLM agents and tool use → General LLM agent frameworks and benchmarks
- Contrastive Covariance Subspaces for Activation SteeringMechanistic interpretability → Activation steering methods
- Beyond a Better Score: Long-Horizon Agentic ML Development and Evaluation Protocol for Physics Time SeriesLLM agents and tool use → Financial trading and forecasting agents
- OPMD: On-Policy Mechanism Distillation Beyond Output SupervisionKnowledge distillation → On-policy and self-distillation for LLMs
- RoboHarness: A Simple Harness Outperforms VLA and World Actions ModelsVision-language-action models → Generalist VLA models and benchmarks
- JoyAI-Voice 2.0: A Full-Continuous Autoregressive Speech Generation Model with Semantic-Acoustic Joint RepresentationDiffusion models → Audio, speech and music
- LoRA Direction Extraction for Controllable Light Toggling in FLUX.1 KontextDiffusion models → 3D, point cloud and scene generation
- Bayes-Sufficient Compression Is Not Enough: How Does Communication Help Multi-Agent Systems?LLM agents and tool use → General LLM agent frameworks and benchmarks
- Hardware-Native Joint Sparse-Quantization for Trillion-Scale Mixture-of-ExpertsMixture-of-experts → Efficient MoE training and inference systems
- Removing the NEEDLE in the Haystack: Backdoor Removal in LLMs via Weight OrthogonalisationLLM safety and security → Backdoor and data poisoning attacks
- UnifiedAttack: Evaluating the Safety of Large Multimodal Models in Synergistic Harmful Image-Text GenerationMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- LEGO-OPD: Factorized Teacher Composition for Multimodal On-Policy DistillationLLM reasoning → Multimodal reasoning +1
- The Weakest Link: Distilling LLM Reasoning with Worst-Case Constrained Reinforcement LearningLLM reasoning → Reinforcement learning for reasoning +1
- Mathematical Transfer in LLMs Follows Reasoning Approach More Than TopicLLM reasoning → Mathematical reasoning
- CAST: Cost-Aware Speculative Trees from One-Pass Block DraftersEfficient LLM inference and serving → Speculative decoding
- Refusal Localizes, the Damage Relocates: Safety Layers Under Few-Sample Fine-TuningLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- DriftOPD: Sequence-Level Reverse-KL Distillation for One-Step VLA PoliciesVision-language-action models → Reinforcement learning and post-training
- DuplexSpeechBench-Document Grounding: Benchmarking Document Grounding and Hallucinations in Voice AgentsLLM agents and tool use → Multimodal and embodied agents
- Predictive Credit: Measuring What Scientific Explanations Add to Experimental ForecastsLLM agents and tool use → Financial trading and forecasting agents
- Rules to Tools: Executable Checks for LLM Agents in Scientific ComputingLLM agents and tool use → Software engineering coding agents
- In-Distribution Imagination for Model-Based Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
- Provable Test-Time Scaling for Beam Search in LLM ReasoningLLM reasoning → Test-time compute and efficient thinking
- Understanding Off- vs On-Policy Distillation: A Tale of Distinct Training ObjectivesKnowledge distillation → On-policy and self-distillation for LLMs
- CollabFlow: Recursive Self-Improvement of Agent CollaborationLLM agents and tool use → General LLM agent frameworks and benchmarks +1
- EvoSteer: Online Self-Evolving Graph Orchestration via Reference-Anchored Credit AssignmentLLM agents and tool use → General LLM agent frameworks and benchmarks +1
- Breaking Babel: A Self-Evolving Multi-Agent System for Long-Form Subtitle TranslationLLM agents and tool use → Web, search, and research agents +1
- TERRA: Terrain-Aware Reconstruction, Retargeting and Control for Musculoskeletal LocomotionDeep reinforcement learning methods → RL for robot locomotion and manipulation
- AgBench: Agentic AI Benchmarks for Personal AI DevicesLLM agents and tool use → General LLM agent frameworks and benchmarks
- Uncertainty-Normalized Margins for Direct Preference OptimizationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Alignment via Training Against Probes Without Losing MonitorabilityLLM alignment / RLHF / preference optimisation → Reward hacking and misspecification
- Vision-Language-Action Autonomous Driving Agent with Language-based MemoryMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection +3
- Component-Aware Feedback for Self-Evolving ProgramsSynthetic data and self-improvement for LLMs → Self-evolving LLM agents
- STEPS: Scene Text Editing with Preserved Style Using Diffusion and Contrastive Style EncodingDiffusion models → Image generation, text-to-image and editing
- Correcting WHERE, Preserving HOW: Compositional Generalization for Vision-Language-Action Models via Referential GuidanceVision-language-action models → 3D and spatial-aware VLA
- Beyond Oracle Communication: Benchmarking Interactive Intent Alignment Under Miscommunication and Evolving User IntentLLM agents and tool use → General LLM agent frameworks and benchmarks
- Reinforcement Learning with Complex (valued) MemoriesDeep reinforcement learning methods → Deep RL algorithms and representations
- PixelUMM: Encoder-Free Unified Image and Video Understanding and GenerationMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Conditional Generation of Creative Chess Puzzles with Diffusion ModelsDiffusion models → Diffusion and flow policies for robotics
- Data-Efficient Adaptation of a Driving VLA to Class 8 TrucksEnd-to-end autonomous driving → Reasoning VLA and VLM driving policies
- LongTake: Learning to Sustain Dynamics in Long-Horizon Video GenerationWorld models → Video-generation world models and simulators
- Demographic Pluralism: Inference-Time Modeling of Pluralistic Human Preference DistributionsLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Towards Universal Wasserstein Barycenters through Flow MatchingDiffusion models → Flow matching, time series and science
- ThinkV2V: Unleashing the Reasoning Capability of MLLMs for Instruction-Guided Video EditingLLM reasoning → Multimodal reasoning +1
- Does This Action Still Explain the Task? Reverse Scoring for Diffusion Language Model AgentsDiffusion models → Discrete and text diffusion +2
- Revisiting scaling laws for reward optimizationLLM alignment / RLHF / preference optimisation → Reward hacking and misspecification
- MM-FinEval: A Multi-Task Multimodal Benchmark for Real-World Financial ForecastingMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- From Solo to Social Learning: Characterizing Recursive Social Improvement in LLMsLLM agents and tool use → Social simulation and multi-agent debate
- DEdit: Iterative Draft Editing for Speculative DecodingEfficient LLM inference and serving → Speculative decoding
- Personalized State-Transition-Aware Memory for Clinical AgentsLLM agents and tool use → Medical and scientific domain agents
- PANDA: A Decentralized Architecture with Flexible Orchestration for Scalable, Fault-Tolerant Multi-Agent SystemsLLM agents and tool use → Agentic AI for wireless networks
- Re-ranking and Late Interaction Drive Retrieval Quality: A Controlled Comparison of RAG Strategies for Scientific Question AnsweringRetrieval-augmented generation → RAG robustness and adaptive retrieval
- Diffusion-2BC: Hybrid Diffusion and Regression Training for Offline Behavior Cloning in Autonomous DrivingEnd-to-end autonomous driving → Imitation-learning end-to-end planners
- TrafficSignBench: Rule-Centric Closed-Loop Evaluation of Traffic-Sign Compliance in Autonomous DrivingEnd-to-end autonomous driving → Adversarial scenarios and safety testing
- PrivMeSA: Privacy-Aware Self-Evolving Multi-Agent System for Medicine via Local-Remote LLM CollaborationLLM agents and tool use → Medical and scientific domain agents +1
- AIM: Agentic Idea Management for Automated ResearchLLM agents and tool use → Web, search, and research agents
- Audible World Models: Spatially Aware Sound Generation for 3D WorldsWorld models → Video-generation world models and simulators
- MOBA-VL: Event-Localized Multi-Turn Reinforcement Learning for Real-Time MOBA CommentaryDeep reinforcement learning methods → RL for robot locomotion and manipulation
- What Was Said, Not What Was 'Thought': Type-6 Logic for CoT VerificationLLM reasoning → Prompting and chain-of-thought reasoning
- Synthesis Without Training: An Inference-Only Pipeline for Tabular, Temporal, and Relational Synthetic DataSynthetic data and self-improvement for LLMs → Privacy-preserving tabular data synthesis
- VidHarness: Evolving Agent Harnesses for Cost-Efficient Long Video UnderstandingMultimodal LLMs / vision-language models → Video understanding with MLLMs +1
- ArgGYM: A Procedural, Engine-Verified Benchmark for Structured Defeasible ReasoningLLM reasoning → Reasoning for agents, planning and code
- Disagreement-Regularized Imitation Learning for Image-Based Continuous Control with Gaussian and Beta PoliciesOffline RL and imitation learning from data → Imitation learning methods
- Memorize, Adapt, Ignore: Diagnosing Robot Learning Mechanisms under Training Data VariationOffline RL and imitation learning from data → Robot manipulation imitation learning
- The Geometry of Harmfulness in Multi-Turn AttacksLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- Fine-Tuning Diffusion Language Models with Context Selection and Target WeightingDiffusion models → Discrete and text diffusion
- PhyProbe: Rethinking Physical Consistency Evaluation in Generated VideosLLM reasoning → Multimodal reasoning
- Composition, Not Conversation: VLMs Lose the Scene, Not the ThreadMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Acceleration of Diffusion Language Model through Discrete Average GeneratorDiffusion models → Discrete and text diffusion
- Inductive Visual Logic for Few-Shot Out-Of-Distribution Adaptation in VLMsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- On the Off-Policy Teacher in On-Policy DistillationKnowledge distillation → On-policy and self-distillation for LLMs
- Evaluating Language Model Safety Across Long Adversarial ConversationsLLM safety and security → Safety alignment, refusal and guardrails
- TAGGRAPH: Tag-Augmented Graphs for Graph Retrieval of Agent Persistent HistoriesLLM agents and tool use → Agent memory systems
- MILO: Automated Harness Discovery via Orchestrated Multi-Agent EvolutionLLM agents and tool use → General LLM agent frameworks and benchmarks
- Activation-Conditioned Self-DistillationKnowledge distillation → On-policy and self-distillation for LLMs
- E2E-SWE: Benchmarking LLMs on Building Working Codebases from ScratchLLM agents and tool use → Software engineering coding agents
- EVOKE: Eliciting World Knowledge in Agents for Transferable Decision-MakingWorld models → World models for language agents +1
- Hermes: Learning Contextual Reasoning Unlocks Test-Time ScalingLLM reasoning → Test-time compute and efficient thinking
- ExploreNet: Learning Where to Explore in Diffusion GRPOLLM reasoning → Diffusion reasoning and test-time scaling
- Multi-agent discussion gains less when dissent is withheldLLM agents and tool use → Social simulation and multi-agent debate
- It Takes Little to Rewrite Perception: Targeted Semantic Substitution in Vision-Language Models at ε≤ 4/255Multimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- AI Agents are Vulnerable to RadicalizationLLM agents and tool use → Social simulation and multi-agent debate
- MoFlow: Multi-Objective Agentic Workflow GenerationLLM agents and tool use → Software engineering coding agents
- HARDE: Optimizing Agent Harnesses for Runtime Risk Detection and Execution ControlLLM agents and tool use → Agent threats, guardrails and governance
- AREX-2: Advancing Self-Improving Agents through Long-Horizon Reflective TasksLLM agents and tool use → General LLM agent frameworks and benchmarks +1
- GaugeVLM: Structuring Spatial Supervision with Measured Geometric InterventionsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Improving OCR Faithfulness via Gated and Attenuated On-Policy DistillationMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP +1
- When Correct Memory Goes Wrong: Fuzzing Persistent Memory Use in LLM AgentsLLM agents and tool use → Agent memory systems
- VirusCascade: Hijacking Collaborative Reflection in LLM-Powered Recommender AgentsLLM agents and tool use → Agentic recommender systems
- Zero2Repo: Can Coding Agents Build Repositories from Scratch?LLM agents and tool use → Software engineering coding agents
- Janus: Evidence-Before-Effect Sagas and Offline-Verifiable Provenance for Agentic LLMsLLM agents and tool use → Financial trading and forecasting agents
- How Should Diffusion Language Models Edit Code?Diffusion models → Discrete and text diffusion
- CollageAttack: Exploiting Cross-Modal Alignment Flaws in T2I Models through Spatial Text CompositionLLM safety and security → Vision-language and text-to-image safety
- Inference-Layer Security: Defending Against Adversarial Inference and Infrastructure AbuseLLM safety and security → Membership inference attacks
- Imagine3D-LLM: Teaching MLLMs to Imagine 3D Scenes Before AnsweringMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Adversarial Training for Pixel DiffusionDiffusion models → Diffusion foundations and sampling
- STEPQuant: When and Where Errors Matter in Delta-Rule Recurrent State QuantizationEfficient LLM inference and serving → KV cache quantization
- Rho: A Foundation for Efficiently Adaptable VLA ModelsVision-language-action models → Reinforcement learning and post-training
- Rethinking Representations for World-Action ModelingWorld models → Embodied and robot world models
- DMA2: Pixel-space Distribution Matching with Adversarial and Anchor LossesDiffusion models → Image generation, text-to-image and editing
- LongLive-Plug: Once-for-All Distillation for Video GenerationDiffusion models → Video generation
All 1,051
- Thinking Before Thinking: Scaling Agentic Inference Through Meta-ReasoningLLM agents and tool use → General LLM agent frameworks and benchmarks
- LIFT: Layout-In-Future Video Generation under Large Viewpoint Change via On-Policy Self-DistillationKnowledge distillation → Multimodal distillation
- Learning Meta-Skills for Agent Harness Design in Test-Time AI4AILLM reasoning → Reasoning for agents, planning and code
- AdviSD: Learning to Advise Frontier LLMs via Targeted Multi-Turn Self-DistillationKnowledge distillation → On-policy and self-distillation for LLMs
- Breaking the Uniformity Trap: Scaling Video Diffusion Model via SplitMoEDiffusion models → Video generation +1
- LongHarness Bench: Stress-Testing Language Model Harnesses for Long-Context ReasoningLLM reasoning → Reasoning benchmarks and evaluation
- Multi-Agent Flow Matching with Decoupled Generative GuidanceDiffusion models → Diffusion and flow policies for robotics
- HelixWorld: A Real-time Interactive Audio-Visual World ModelWorld models → Video-generation world models and simulators
- WUSH-KV: KV Cache Quantization with Data-Adaptive TransformsEfficient LLM inference and serving → KV cache quantization
- Stochastic World Models for Verifying Vision-Based Neural Feedback SystemsWorld models → Latent predictive world models
- VideoLoop: Looped Working Memory Against Semantic Thrashing in Long-Form Video AgentsLLM reasoning → Multimodal reasoning
- Self-Aligned Forcing: Streaming Video Diffusion with Differentiable Noisy HistoryDiffusion models → Video generation
- From Routing Signals to Selective Review: Visual regrounding in MoE VLMsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning +1
- Do LLM Agents Execute the Plans They Declare? From Planning-Mode Declaration to Pattern-Specific ExecutionLLM agents and tool use → General LLM agent frameworks and benchmarks
- Correct Answers, Invalid Traces: What Verifiable Grade-School Math Reveals About Chain-of-Thought TracesLLM reasoning → Mathematical reasoning
- Explore Broadly, Reason Sharply: Push Small Models toward the Frontier via SamplingLLM reasoning → Test-time compute and efficient thinking
- NeuronEye: Query-Guided Visual Concept Activation for Vision-Language ReasoningLLM reasoning → Multimodal reasoning +1
- Mira: Memory-Efficient MoE Inference Using Adaptive Caching and Predictive Expert StagingMixture-of-experts → Efficient MoE training and inference systems
- VISTA: Internalizing Collective Visual Experience via On-Policy Distillation for Active Multimodal AgentsKnowledge distillation → Multimodal distillation
- MotorMind: Scaffolding General Vision Language Models for Zero-Shot Robot ManipulationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +2
- RS-OPSD: Reliable Privileged On-Policy-Self-Distillation for Ultra-High-Resolution Remote Sensing VQAKnowledge distillation → Multimodal distillation
- Probability is Not Enough: Exploring and Counting Divergent Tokens for Reasoning Uncertainty Quantification in LLMsLLM reasoning → Reasoning benchmarks and evaluation
- Alpha Diffusion Language Models: Factorization Alone Is Not the ProblemDiffusion models → Discrete and text diffusion
- Jaxolotl: A Unified High-Performance Benchmark Suite for LTL-Based Multi-Task RLDeep reinforcement learning methods → Interpretable and logic-guided RL
- EVO-WAM: Evolving World Action Models through Video-Action VerificationWorld models → Embodied and robot world models
- Improving Function Space Flow Matching with Kernel Optimal TransportDiffusion models → Flow matching, time series and science
- UserProxyBench: Evaluating LLM User Simulators for Agent Benchmarks and TrainingLLM agents and tool use → Reinforcement learning for LLM agents
- doPlan: A Variable-Horizon Dataset for Multi-Stage Language-Conditioned Planning in Autonomous DrivingEnd-to-end autonomous driving → Reasoning VLA and VLM driving policies
- Dr. OPD: Learning What to Follow for Optimal On-Policy Distillation of Large Language ModelsKnowledge distillation → On-policy and self-distillation for LLMs
- Retrieval-Augmented Skill Optimization via Cross-Harness AdaptationRetrieval-augmented generation → Agentic RAG, agents and memory
- Prompts Live on an Arc: Gaussian Curricula in Fisher--Rao Coordinates for Rollout-Efficient GRPOLLM reasoning → Reinforcement learning for reasoning
- Brain-SAD: A Brain-Inspired Safe Autonomous Driving Control Framework with Dynamic Fear-Oriented Constraint on Dual-PolicyEnd-to-end autonomous driving → Reinforcement learning for driving +1
- HybridCUA: Learning to Orchestrate GUI and CLI for Computer-Use AgentsLLM agents and tool use → GUI and mobile agents
- Diagnosing and Improving Probabilistic Reasoning in Large Language ModelsLLM reasoning → Test-time compute and efficient thinking
- TabFM-Auto: Self-Evolving Pipelines for Tabular Foundation ModelsSynthetic data and self-improvement for LLMs → Privacy-preserving tabular data synthesis
- KV-Kaizen: Learning Context-Adaptive Cache Compression ChoicesEfficient LLM inference and serving → KV cache optimization
- S3: Spectral Null-Space Swap Makes Reasoning Models EfficientLLM reasoning → Test-time compute and efficient thinking +1
- On Trajectory-Aware Training for Masked Diffusion Language ModelsDiffusion models → Discrete and text diffusion
- PhysWAM: Physically Consistent World Action Model for Autonomous DrivingWorld models → World models for autonomous driving +2
- SelfSearch: Reward-Free Search for Self-Improving AgentsLLM agents and tool use → Agent skill learning and evolution +1
- Video-RSI: Recursive Self-Improvement of Video Understanding Agents via Harness EvolutionLLM agents and tool use → Multimodal and embodied agents +1
- GRFBrain: Graph-Structured Rectified Flows for EEG Dynamic ModelingDiffusion models → Flow matching, time series and science
- Rollout-Marginal Distillation for Long-Horizon Autoregressive Video GenerationDiffusion models → Video generation
- Time-Anchored Diffusion Language Models: Latent-Space Caching for Fast GenerationDiffusion models → Discrete and text diffusion
- SYNCR: Diagnosing and Learning Cross-Video Reasoning from SimulationLLM reasoning → Multimodal reasoning
- Overcoming Scaling Limits in On-Policy Self-Distillation for LLM ReasoningLLM reasoning → Prompting and chain-of-thought reasoning +1
- Guide, Then Let Go: Gap-Adaptive Teacher Scheduling for Sparse-Reward Agentic RLLLM agents and tool use → Reinforcement learning for LLM agents +1
- ReCAP: Retrieval-Guided Capability Reuse for Multimodal Continual Instruction TuningMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Behavioral Capacity Certificates for Quantized Language ModelsEfficient LLM inference and serving → KV cache quantization
- Co-PiLOT: Constrained Physics-Informed Latent Optimization for Target-Driven Inverse DesignDiffusion models → Flow matching, time series and science
- ExceptionDrive: A Planning-Oriented Counterfactual Corner-Case Benchmark for Autonomous DrivingEnd-to-end autonomous driving → Adversarial scenarios and safety testing
- Learning Beyond What You Sample: Off-Policy-Aware Cross-Model Trajectory Exchange for RLVRLLM reasoning → Reinforcement learning for reasoning
- AgentBug-Smith: Automatically Reproducing Real-World Harness Bugs in Agentic SystemsLLM agents and tool use → Software engineering coding agents
- It's Not What the Image Shows: Irrelevant Context Destabilises VLM Judges Without Informing ThemMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Storage Is Not Strategy: State-Conditioned Support Control for LLM UnlearningLLM safety and security → Machine unlearning
- Active Budget Can Kill Sensitivity: Diagnosing and Repairing TopK Sparse Autoencoder ReliabilityMechanistic interpretability → SAE features and their applications
- FlowMap-OPD: Rollout--Kernel Separation for On-Policy Distillation of Few-Step Flow-Map GeneratorsDiffusion models → Diffusion and flow policies for robotics +1
- Can Vision-Language Models Stay Helpful When Facing Implicit Risks? Intent-Privilege OPSD for Efficient Safety-Helpfulness AlignmentMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- ReCaVSR: One-Step Streaming Diffusion Video Super-Resolution with Recycled Latents and Learned Cache RoutingDiffusion models → Video generation +1
- DIET: Deletion-response Expert Trimming for Video Diffusion TransformersDiffusion models → Video generation +1
- Privy to the Foil: Recasting Value Estimation with a Self-Privileged Critic for RLVRLLM reasoning → Reinforcement learning for reasoning
- Explore, Execute, Evolve: A Skill Acquisition and Reuse Loop for Embodied AgentsWorld models → Embodied and robot world models +1
- MVG-WAM: Multiple View Geometry-Aware World-Action Modeling for Robotic ManipulationWorld models → Embodied and robot world models
- A Proposed Rubric for Evaluating Expressed Clinical Reasoning in Large Language Model ResponsesLLM reasoning → Clinical and biomedical applications
- CHOQOLATE: Organizing Concept Bottleneck Latent Spaces with Choquet IntegralsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- OmniVCBench: Benchmarking Evidence-Grounded Multimodal Reasoning Towards AI Virtual CellsLLM reasoning → Clinical and biomedical applications
- Urgent Actions Go First: Urgency-Aware Denoising for Real-Time VLA ControlVision-language-action models → Efficient VLA inference and adaptation +1
- Faster and Better? Benchmark Bugs and Design Limitations Distort the Evaluation of Vision-Language-Action AccelerationVision-language-action models → Failure recovery and robustness
- Selective Channel Restoration for Backdoored Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- Cross-Entropy Guided Routing in Mixture-of-Experts Large Language ModelsMixture-of-experts → Expert routing strategies
- ContextRender: From Execution Dependencies to Agent ContextLLM agents and tool use → Tool learning and function calling
- CogWAM: Aligning Semantic Cognition with World Action Modeling via Event-Driven InterfacesWorld models → Embodied and robot world models
- GARDiff: Graph-Aligned Residual Diffusion for Probabilistic Multivariate Time-Series ForecastingDiffusion models → Flow matching, time series and science
- Honeycomb: Constant-Size Scene Memory Representation for Video World ModelsWorld models → Video-generation world models and simulators
- When Models Don't Manipulate Manifolds: The Geometry of a Comparison TaskMechanistic interpretability → Circuits and mechanistic analysis
- Retrieve, Reproduce, Reveal: Dissecting Retrieval-Augmented Software Vulnerability DetectionRetrieval-augmented generation → Privacy and security of RAG
- Corpus-Guided Dual-Path Propagation for Graph Retrieval-Augmented GenerationRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- EnterpriseBench: Benchmarking LLM Agents on Enterprise-Level Strategic Reasoning and Decision-MakingLLM reasoning → Reasoning for agents, planning and code +1
- Tracing the Evidence: Faithful Token Attribution Through Vision-Language ReasoningLLM reasoning → Multimodal reasoning +1
- Exemplar2VQA: A Scalable Exemplar-Driven Visual Question Answering Generation Framework via Multi-Agent CodingMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- Texture Space Material DiffusionDiffusion models → 3D, point cloud and scene generation
- Beyond a single latent space: a dual-latent world model for long-horizon planningWorld models → Latent predictive world models
- Targeted Visual Counterfactual Explanations for Contrastive Vision-Language ModelMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP +1
- SPLASH: Switching Parallel Layouts of Attention with Seamless Handoff for LLM ServingEfficient LLM inference and serving → Serving systems and request scheduling
- AS2D: Accelerating On-Demand Audio Understanding on Mobile DevicesEfficient LLM inference and serving → Speculative decoding
- BlenDAgger: Blended Shared Control for Interactive Imitation LearningOffline RL and imitation learning from data → Robot manipulation imitation learning
- FOCUS: Training-Free Decision-Preserving Context Compression for LLM AgentsLLM agents and tool use → Agent memory systems +1
- RoboHarn-Evo: Evolving Hierarchical Physical Knowledge for Self-Improving Robotic ManipulationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- TReVS: Integrating Textual Relevance and Visual Saliency for Efficient Vision-Language Model Token PruningMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- Pair Difficulty Matters: Rethinking Pairwise LLM-as-a-Judge Evaluation and ConsistencyLLM reasoning → Reasoning benchmarks and evaluation
- Evaluating the Evaluators: Diagnosing Large Multimodal Models for AI-Generated Image AssessmentMultimodal LLMs / vision-language models → Image editing and quality assessment
- Concealing LLM-Based Multi-Agent Topology via Phantom Structure InjectionLLM agents and tool use → Agent threats, guardrails and governance
- Wrench-ACT: Enhancing Robot Policies for Contact Rich Behavior Using Direct Wrench ControlOffline RL and imitation learning from data → Robot manipulation imitation learning
- SkillGym: Training Skill-Use Agents with Automatic Verifiable Environment GenerationLLM agents and tool use → Agent skill learning and evolution
- Weeding Out Bad Seeds: Initial-Noise-Robust Unlearning for Text-to-Image Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects +1
- E-MoE: Enhanced Mixture-of-Experts for Non-Factorized Diffusion Language ModelsDiffusion models → Discrete and text diffusion +1
- DScale: Scaling Block-Diffusion Speculative Decoding with Adaptive VerificationEfficient LLM inference and serving → Speculative decoding
- RawVLA: Embodied Neural Image Signal Processor For Robotic ManipulationVision-language-action models → Tactile, force-aware and humanoid VLA
- Graph-Conditioned On-Policy Agent Distillation from Off-the-Shelf TeachersKnowledge distillation → On-policy and self-distillation for LLMs
- Hierarchical Compression of Vision-Language Model BenchmarksMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- From Dissonance to Orchestration: Teacher Intervention in On-Policy DistillationKnowledge distillation → On-policy and self-distillation for LLMs
- Anisotropic Representations Improve Planning in JEPA World ModelsWorld models → Latent predictive world models
- Looped Actor: Depth-Recurrent Reasoning Models for Reinforcement LearningLLM reasoning → Reinforcement learning for reasoning
- LazySloth: Bounded LLM-based Lazy Tree Search for Fast Long Video ComprehensionMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Complementary Retrieval-Augmented Prompting for Consistent Long-Form Video GenerationRetrieval-augmented generation → Multimodal RAG
- Direct Experience World-Model Optimization: Learning the World Beyond Action ImitationWorld models → Embodied and robot world models
- Rethinking Soft Tokens for Parallel Decoding in Diffusion Language ModelsLLM reasoning → Diffusion reasoning and test-time scaling +2
- Do-JEPA: From Masking to Intervention in Latent World ModelsWorld models → Latent predictive world models
- Beyond Prompt Count: How Data Shapes Transfer in On-Policy DistillationKnowledge distillation → On-policy and self-distillation for LLMs
- MG-Thinker: Bi-Axial Self-Reflection for Multi-Image Reasoning GroundingLLM reasoning → Multimodal reasoning
- Think Before You Score: Thinking Reward Model for Visual GenerationLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
- Backdoor Mitigation in Decentralized LLM Fine-TuningLLM safety and security → Backdoor and data poisoning attacks
- SemOPT: Fixing Semantic Errors in LLM-based Optimization Modeling via Reward-Guided SearchLLM alignment / RLHF / preference optimisation → Process reward models for reasoning
- Encore: Few-Shot Agentic Discovery of Manipulation StrategiesLLM agents and tool use → Multimodal and embodied agents
- Port-Hamiltonian Latent Deliberation: Mitigating the Deliberation Drift Cliff in Test-Time Compute ScalingLLM reasoning → Test-time compute and efficient thinking
- TAEC: Trajectory-Aware Evidence Coordination for Multi-Step Visual RAGRetrieval-augmented generation → Multimodal RAG
- DROM: A Language-Guided Diffusion Framework for Multi-Skill Robotic ManipulationDiffusion models → Diffusion and flow policies for robotics
- Taming VLAs under Robot Execution Errors: Self-Compensation and Stress TestingVision-language-action models → Failure recovery and robustness
- Solving Without Stopping: On-Policy Distillation at Small ScaleLLM reasoning → Prompting and chain-of-thought reasoning +1
- Parallel Tempering for Diffusion-Based Combinatorial OptimizationDiffusion models → Flow matching, time series and science
- Battery-Aware Reinforcement Learning for Aggressive Quadrotor FlightDeep reinforcement learning methods → RL for robot navigation and UAV control
- Hidden Reasoning Must Leak, but Need Not Be Readable: Fundamental Opportunities and Limits for Chain-of-Thought MonitoringLLM reasoning → Prompting and chain-of-thought reasoning
- ReMem: Rethinking Perception and Memory in Long-Context Recommendation AgentsLLM agents and tool use → Agentic recommender systems
- AutoMark: Enabling Autoresearch to Discover Better LLM WatermarksLLM safety and security → Watermarking generated content and models
- Remember What You Did: Action-History Memory with Dual-Expert Denoising for Long-Horizon Vision-Language-Action PoliciesVision-language-action models → Reasoning and chain-of-thought in VLA +1
- MetaCtrl: Your Large Language Models Can Reason Better and More Concisely with a Metacognitive ControllerLLM reasoning → Test-time compute and efficient thinking
- SAM Meets VLM: Parameter-Decoupled Full-Parameter Training for Unified Medical Reasoning and SegmentationLLM reasoning → Clinical and biomedical applications +1
- Foundations of Proactive Agents: Principles, Technical Layers, and Proactivity-GymLLM agents and tool use → General LLM agent frameworks and benchmarks
- Beyond Attention Imbalance: Mitigating Hallucinations via Spectral SurgeryMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- V-JEPA Policy: Building Effective World-Action Models on Predictive Visual LatentsWorld models → Embodied and robot world models
- Codebook-Guided Cross-Modal Knowledge Distillation for Structurally Heterogeneous FeaturesKnowledge distillation → Multimodal distillation
- Differentiating Bisimulation Metrics: A Framework for Parametric Markov Chain Fitting via Bicausal Optimal TransportWorld models → Latent predictive world models
- Follow the Entities: A Corpus Map for Agentic SearchLLM agents and tool use → Web, search, and research agents
- ResComEmb: Effective and Efficient Multimodal Embedding via Residual Homogeneity CompressionMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- Beyond Semantic Narrowing: Robust and Efficient LLM Watermarking with Hamming NeighborhoodsLLM safety and security → Watermarking generated content and models
- Learning to Prove, Not Just to Answer: Reinforcement Learning from Formal Verification for Natural-Language Logical ReasoningLLM reasoning → Test-time compute and efficient thinking
- Adaptive Reward Routing: Dynamic Multi-Reward Optimization for Joint Audio-Video Diffusion via Forward-Process RLDiffusion models → Audio, speech and music +1
- ToolFence: Fine-Grained Authorization for Secure Tool-Using LLM AgentsLLM agents and tool use → Agent threats, guardrails and governance +1
- HaPRL: Human-Anchored Process Reinforcement Learning for Visual Search AgentLLM agents and tool use → Multimodal and embodied agents +1
- InsightMap: Structured Spatial Modeling for Embodied Multimodal ReasoningLLM reasoning → Spatial and embodied reasoning
- Absorbed in Inertia: Activation Analysis for Computer-Use AgentsLLM agents and tool use → GUI and mobile agents
- SimpleEvol: An Agent-Loop Framework for LLM-Driven Automated Heuristic Design with Minimal Human PriorsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Bridging Semantic Gaps in RAG through Generated Context Knowledge FusionRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- Interpolated Policy Distillation: A Controllable Continuum Between Off-Policy and On-Policy DistillationKnowledge distillation → On-policy and self-distillation for LLMs
- Trajectory Soup: Pushing the Compute-Scaling Frontier of LLM Mid-training via Diverse TrajectoriesLLM reasoning → Test-time compute and efficient thinking
- Disentangling Spurious Correlations in Vision-Language-Action Models via Predicting Domain-Invariant Latent LookaheadVision-language-action models → VLA architectures and generalization
- Lucid Dreaming for World Models: Learning to Doubt Imagination and Decide by TrustWorld models → World models for language agents
- Improved Distributional Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- From Judgment Quality to Downstream Utility: Rethinking LLM-as-a-Judge for Open-Ended TasksLLM reasoning → Reasoning for agents, planning and code
- LoLBench: Evaluating Coding Agents with Long-Horizon Proposals on Large Software SystemsLLM agents and tool use → Software engineering coding agents
- TaoFlowForge: Progressive Native Mesh Generation via Cascaded Flow MatchingDiffusion models → 3D, point cloud and scene generation
- Multi-Granularity Language-Guided Imitation Learning via Instruction DecompositionOffline RL and imitation learning from data → Language-conditioned policies and VLAs
- Train Ahead, Distill Back: Bootstrapping On-Policy Self-Distillation for Large Language ModelsSynthetic data and self-improvement for LLMs → Self-rewarding alignment and self-training +1
- ReF-HIL: Shaping the Critic around Human Action Neighborhoods for Efficient Human-in-the-Loop Reinforcement LearningDeep reinforcement learning methods → RL for robot locomotion and manipulation
- EviViT: Evidence-Adaptive Vision Transformers for Fine-Grained PerceptionMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Learning from Viable Failure Prefixes: Milestone Viability Potential Policy Optimization for Long-Horizon LLM AgentsLLM agents and tool use → Reinforcement learning for LLM agents
- Waypoint-1.5: A Real-Time Video World Model for Consumer HardwareWorld models → Video-generation world models and simulators
- VACE: Validation-Gated Alternating Co-Evolution of Agent Models and HarnessesLLM agents and tool use → Reinforcement learning for LLM agents
- What Does Post-Training Change in Multilingual Reasoning?LLM reasoning → Reasoning benchmarks and evaluation
- V2X-WAM: A Cooperative World Action Model for End-to-End Autonomous DrivingWorld models → World models for autonomous driving +1
- Why MLLMs Struggle to Count: Overcoming Individuation and Aggregation Bottlenecks with ConvStackMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- Task-Oriented Visual Feature Compression via Residual Vector Quantization for Device-Edge Multimodal InferenceMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- ARGOS: Reinforcement Learning-Driven Multidimensional Elasticity for Service Orchestration in the Computing ContinuumDeep reinforcement learning methods → RL for energy, networks and operations
- LDM-is-AE: Latent Diffusion Model is an Auto-Encoder for End-to-End Image GenerationDiffusion models → Diffusion foundations and sampling
- UnlearningSoup: Is Repeated Tuning Necessary for Large Language Model Unlearning?LLM safety and security → Machine unlearning
- Beyond Compression: Diagnosing How Post-Training Changes Mathematical ReasoningLLM reasoning → Mathematical reasoning
- vSkipper: Translating Dynamic Layer Skipping into LLM Serving GainsEfficient LLM inference and serving → Serving systems and request scheduling
- Spatial-OPSD: Self-Improving Spatial Reasoning via Label-Free Self-DistillationLLM reasoning → Spatial and embodied reasoning +3
- ACTR: Aligning Thoughts and Responses for Multilingual Safety in Reasoning LLMsLLM reasoning → Reasoning benchmarks and evaluation +2
- MatToolBench: Benchmarking Multimodal Agents in Real-World Materials Science WorkflowsLLM agents and tool use → GUI and mobile agents
- OmniRoute: Mapping Temporal Semantic Evidence to Audio-Visual Token Budgets for Efficient Omnimodal Large Language ModelsLLM reasoning → Audio-language model reasoning
- Speed in the Blind Spot: An Interpretability Analysis of Dynamic Perception in VLMs for Autonomous DrivingMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection +1
- Learning from Think-Mode Advantage via On-Policy DistillationLLM reasoning → Prompting and chain-of-thought reasoning +1
- GleanVID: Complementary Token Selection for Efficient Video Large Language ModelsEfficient LLM inference and serving → Visual token pruning in multimodal models
- Beam Search as Test-Time Self-Distillation via Counterfactual ContextsKnowledge distillation → On-policy and self-distillation for LLMs
- NowcastDiT: Diffusion Transformers are Effective Precipitation NowcastersDiffusion models → Flow matching, time series and science
- High-Resolution Dynamic Functional Connectivity Generation with Graph-Variate Flow MatchingDiffusion models → Flow matching, time series and science
- LongSpark: Efficient speculative decoding with a fixed-cost parallel drafterEfficient LLM inference and serving → Speculative decoding
- AnyAct: Universal Action for Self-Evolving AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks +1
- LatCom: Cross-Agent Latent Compression for Efficient Multi-Agent CollaborationLLM agents and tool use → Agent memory systems
- World2Motion: Turning Video World Models into 3D Human Motion GeneratorsWorld models → Video-generation world models and simulators
- Parameterized Stripe Attention for Efficient Video GenerationDiffusion models → Video generation
- Abductive World Modeling via Causal Representation LearningWorld models → Latent predictive world models
- REALHOP: Rethinking Multi-Hop Reasoning Evaluation via Behavioral AuditingLLM reasoning → Knowledge- and tool-augmented reasoning
- SRJudge: Empowering Large Language Models with Selective Reasoning for Fine-Grained Knowledge Concept TaggingLLM reasoning → Knowledge- and tool-augmented reasoning
- Beyond Token Importance: Preserving Spatial Scaffolds for Efficient Vision-Language-Action InferenceVision-language-action models → 3D and spatial-aware VLA
- Controlled Decoding Attacks on Black-Box LLMsLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- Fine-Tuning on Self-Generated and Reward-Weighted Data: Learning Dynamics, Convergence Rates, and Benefits of Off-PolicynessSynthetic data and self-improvement for LLMs → Self-rewarding alignment and self-training
- SCA: Spatial Credit Assignment for Reinforcement Learning of GUI AgentsLLM agents and tool use → GUI and mobile agents +1
- CoEM: Empowering Long-Context Reasoning with Commit-on-Evidence MemoryLLM reasoning → Test-time compute and efficient thinking
- Dating the Model: Hidden Dates in System Prompts Affect LLM EvaluationLLM reasoning → Reasoning benchmarks and evaluation
- SFE-VGGT: Source-Free VGGT Distillation for Event-Based Monocular Depth EstimationKnowledge distillation → Detection and dense prediction distillation
- PrecogUI: Proactive GUI Agents via Pre-cognitive Simulation and Experience RetrievalLLM agents and tool use → GUI and mobile agents
- Representation Dynamics Reveal Semantic Saliency and Similarity for Visual Token Pruning in MLLMsMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- AeroManip-VLA: Scalable Vision-Language-Action Learning for Aerial Manipulation with RL-Generated DemonstrationsVision-language-action models → Aerial and drone VLA
- Variational Mixtures and Multi-Marginal Flow Matching: Advancing Statistical Inference with Biological ApplicationsDiffusion models → Flow matching, time series and science
- STAR-GRPO: Canonical Anchoring and Reliability-First Advantages against Representation-Dependent Reward HackingLLM reasoning → Reinforcement learning for reasoning +1
- HorizonFlow: Variable-Length Planning for Offline Goal-Conditioned RLOffline RL and imitation learning from data → Diffusion and flow policies for offline RL
- DiffReID: Discriminative Diffusion Model for Object Re-IdentificationDiffusion models → Image generation, text-to-image and editing
- Harness Evolution as Learning: Approximation, Generalization, and Optimization Limits of Self-Improving Personal AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks +1
- WEFT: Scaling Tool-Use Post-Training for General-Purpose AgentsLLM agents and tool use → Agent skill learning and evolution
- RNA Design via Conditioned Flow Matching and Finite-Policy Reinforcement LearningDeep reinforcement learning methods → RL for energy, networks and operations
- SKILLLITE: Evidence-Guided Malicious Skill Auditing with Compact LLMsLLM agents and tool use → Agent threats, guardrails and governance
- PreferenceFlow: Test-Time Guidance of Flow-Matching Robot Policies from Human InterventionsDiffusion models → Diffusion and flow policies for robotics
- State Trace Rationale As Auxiliary Task in Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- Safer Content or Firmer Refusals? A Hybrid Perturbation Defense for Alignment under Harmful Fine-tuningLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks
- Markovian Nonconvex ADMM for Reinforcement Learning: Bellman-Resolvent Stability Beyond Smooth BlocksDeep reinforcement learning methods → RL theory and sample complexity
- When Upstream Messages Override Correct Answers: A Controlled Study of Multi-Agent LLM CollaborationLLM agents and tool use → Social simulation and multi-agent debate
- RoXDrive: Closed-Loop Reinforcement Learning for End-to-End Autonomous Driving via Action-Faithful RolloutsWorld models → World models for autonomous driving +3
- Does the Unsafe Gradient Survive a Conversation? On the Fragility of Gradient-Based Jailbreak Detection in Multi-Turn DialogueLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- DSWM: Decomposed Spatio-Temporal World Model for Demand-Driven UAV Base Station RepositioningWorld models → World models for navigation
- RolloutFaith: Auditing Persistent Internal Interventions in Visual World ModelWorld models → World models for language agents
- On-Policy Visual Evidence DistillationKnowledge distillation → On-policy and self-distillation for LLMs
- ARC-KV: Amortizing Anchor Search for Reconstruction-Based KV Cache CompactionEfficient LLM inference and serving → KV cache optimization
- Motion Concept Unlearning in Video Diffusion ModelsDiffusion models → Video generation +1
- The Default Trap: Rethinking Plan Evaluation in Tool-Using LLM AgentsLLM agents and tool use → Financial trading and forecasting agents
- Calibrate the Decisions That Change the Future: On-Policy Post-Training Quantization for Multimodal Large Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Learning via Self-Consistency for Diffusion-based Video ReasoningLLM reasoning → Multimodal reasoning +1
- CorrGRPO: Correlation-Normalized GRPO for Multi-Reward LearningLLM reasoning → Reinforcement learning for reasoning
- Towards Better Training Signal: Advantage Clipped Policy OptimizationLLM reasoning → Reinforcement learning for reasoning
- RESCUE: Repairing Language Model Errors to Sparse Circuits via Reinforcement LearningMechanistic interpretability → Steering and interpreting LLM reasoning
- Diffusion Policy Improvement with Proposal-Conditioned Refinement FlowsDiffusion models → Diffusion and flow policies for robotics +2
- MeteoVerse: Unified Weather-Controllable Video World ModelWorld models → Video-generation world models and simulators
- UpliftMem: Learning Set-Level Uplift for Agent Memory RetrievalLLM agents and tool use → Agent memory systems
- VAA-CSEC: Vote-guided Advantage Allocation for Chinese Semantic Error CorrectionLLM reasoning → Reinforcement learning for reasoning
- EGSD: Event-Grounded Self-Distillation for Streaming Video UnderstandingKnowledge distillation → Multimodal distillation
- Decoding Affective Nuances: Enhancing MLLMs via Hierarchical Emotion Reasoning and Contrastive Discriminative PruningLLM reasoning → Audio-language model reasoning +1
- Aperture: Merge-Consistent Rotary States for Compressed TokensEfficient LLM inference and serving → Prompt and context compression
- Code4Scene: Benchmarking Coding Agents for Constructing and Editing 3D ScenesLLM agents and tool use → Multimodal and embodied agents
- LexiconVLA: Learning Reusable Atomic Action Codebooks for Unseen TasksVision-language-action models → VLA architectures and generalization
- Graph-Spectral Flow Matching for Multivariate Time Series Anomaly DetectionDiffusion models → Flow matching, time series and science
- FastVR: Efficient Streaming Video Restoration with One-Step DiffusionDiffusion models → Video generation
- Group-Marginalized Self-Rewarding RL Drives Zero-Label Self-EvolvingSynthetic data and self-improvement for LLMs → Self-rewarding alignment and self-training
- Generalizable Lifelong Model Editing via Preference OptimizationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- SIPO: Unifying Reinforcement Learning with On-Policy Self-DistillationKnowledge distillation → On-policy and self-distillation for LLMs +1
- Frontier Autolab: Organizational Memory, Adversarial Dissent and Temporal Leakage in Multi-Agent LLM Firms Across Fifty Years of Technological ChangeLLM agents and tool use → Financial trading and forecasting agents
- Distilling What Matters: Confidence-Aware Selective Distillation for Large Language ModelsKnowledge distillation → Knowledge distillation for LLMs
- Routing in Gradient Space: Balanced Usage Is Not Expert SpecializationMixture-of-experts → Expert routing strategies
- ATTUNER: Recomputation-Free KV Cache Reuse via Query-Side AdaptationEfficient LLM inference and serving → KV cache optimization
- Lost in Conversation or Lost in Translation? Diagnosing Multi-Turn Degradation in RAGRetrieval-augmented generation → Conversational and speech RAG
- Know Thyself, Teach Thyself: Internal Information Flow for Selective Self-DistillationKnowledge distillation → On-policy and self-distillation for LLMs
- ProgressCompass: Embodied Progress Reward Models Are Lost Without the Right ContextLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Reprogramming Vision-Language Models via Structured Prompt ReparameterizationMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Constitutional adapters: Inference-time interventions for misalignment and misuseLLM safety and security → Prompt injection and agent security
- Scheduling Recursive Reasoning in Looped TransformersLLM reasoning → Test-time compute and efficient thinking
- RankBuffer: Efficient Ranking-Based Rewards for Open-Ended GenerationDeep reinforcement learning methods → RL training of language and agent models
- FocusVTC: Efficient and High-Performance Visual Text Compression with Adaptive ResolutionLLM reasoning → Multimodal reasoning
- VLM4Cluster: Benchmarking Deep Clustering In the Era of Vision-Language Pre-trainingMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- PR-OPD: Privileged Representation On-policy Self-Distillation for Agentic Reinforcement LearningLLM agents and tool use → Reinforcement learning for LLM agents +1
- Inducing Process Supervision from Outcome-Only Reinforcement LearningLLM reasoning → Reinforcement learning for reasoning +2
- PE-OPSD: Internalizing Prompt Enhancement into Flow-matching Models via On-Policy Self-DistillationDiffusion models → Diffusion and flow policies for robotics +1
- WitnessGym: Benchmarking Coding Agents on the Construction of Bug WitnessesLLM agents and tool use → Software engineering coding agents
- Distilling Agentic Systems: A Roadmap across Models, Artifacts, and HarnessesLLM agents and tool use → Agent skill learning and evolution
- Beyond Binary Preferences: Graded Preference Optimization for Limb-Motion CaptioningMultimodal LLMs / vision-language models → Video understanding with MLLMs +1
- Semantic Projection for Continual Self-Evolution of Language AgentsLLM agents and tool use → Agent skill learning and evolution
- Do LLMs Really Forget? Hidden-State Leakage in Model Unlearning and How to Fix itLLM safety and security → Machine unlearning
- Act First, Reason Later: Accelerating On-Policy Distillation for Multi-Turn Agents via Reference-Conditioned Inverse DynamicsKnowledge distillation → On-policy and self-distillation for LLMs
- SAKI: Maximal-Coupling-Routed Teacher Supervision for On-Policy DistillationKnowledge distillation → On-policy and self-distillation for LLMs
- Simple Agentic Memory for Generalist Robot PoliciesVision-language-action models → Reasoning and chain-of-thought in VLA +1
- Text2Sim: Agentic Physics-Based Simulation Generation with Distilled ExpertiseLLM agents and tool use → Multimodal and embodied agents
- SEED: Self-Speculative Decoding via Implicit Encoder-DecoderEfficient LLM inference and serving → Speculative decoding
- Cooperative Multi-Agent Vision-Language-Action Models via Reinforced Fine TuningVision-language-action models → Reinforcement learning and post-training
- MemEvo: Automatic Discovery of Streaming Video Memory MechanismsMultimodal LLMs / vision-language models → Video understanding with MLLMs
- SafeCoEvo: Co-Evolving Safety Harnesses and Guards for LLM Agents at Test-TimeLLM agents and tool use → Agent threats, guardrails and governance
- Divide and Inject: Can Agents Reconstruct an Indirect Prompt Injection from Fragments?LLM agents and tool use → Agent threats, guardrails and governance +1
- EquivDP3: A SIM(3)-Invariant Point-Cloud Encoder for Data-Efficient Humanoid Loco-ManipulationDiffusion models → Diffusion and flow policies for robotics
- Visual sensitivity is not claim retractability: persistence-aware credit assignment for multimodal reinforcement learningMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- CounterSteer: Suppressing Indirect Prompt Injection with Activation SteeringLLM agents and tool use → Agent threats, guardrails and governance +2
- Sharp Convergence and Sampling Trade-offs for Riemannian Diffusion under Nonnegative Ricci CurvatureDiffusion models → Diffusion foundations and sampling
- ThinkingGuard: Decoding Implicit Hazards via Step-by-Step Risk Attribution in Multimodal Large Language ModelsLLM reasoning → Multimodal reasoning +1
- How Medical VLMs Underutilize Their Vision Encoders: A Dermatology PerspectiveMultimodal LLMs / vision-language models → Medical vision-language models
- MAADBench: The Refreshable Paradigm for Anomaly Detection in Multi-Agent SystemsLLM agents and tool use → Software engineering coding agents
- SERA: Scale-Equalized Rollout Allocation for Maximum Likelihood Reinforcement LearningDeep reinforcement learning methods → RL training of language and agent models
- Grounded Revision vs. Prior Injection: Probing Retrieval-Augmented Patent Claim AmendmentRetrieval-augmented generation → Legal and financial RAG
- Interactive-Policy Distillation with Bidirectional Propose-and-VerifyKnowledge distillation → On-policy and self-distillation for LLMs
- Reactive Real-Time Flow Policies via Asynchronous Distribution AlignmentVision-language-action models → Efficient VLA inference and adaptation
- When Updating Stops Being Learning: Rethinking LLM Self-Evolution via learnable information gainLLM reasoning → Test-time compute and efficient thinking
- Foresight at the Event Boundary: Evaluating Physical Prediction in Video World ModelsWorld models → Video-generation world models and simulators
- Trajectory-Level Mode Guidance for Controllable Diffusion-Based Multi-Robot Motion PlanningDiffusion models → Diffusion and flow policies for robotics
- Adapting Context Compression for Long-Horizon Agents with Counterfactual ContinuationsEfficient LLM inference and serving → Efficient reasoning and agent inference
- BRIDGE: Bilevel Retrieval-Credit-Aware Agentic Reinforcement LearningLLM agents and tool use → Reinforcement learning for LLM agents
- Benchmarking Vision-Language Models on Synapse Detection and Proofreading in ConnectomicsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- LLMs Learn to Evade Latent Monitors from Prior Feedback AloneLLM agents and tool use → Agent threats, guardrails and governance
- AdaptArena: Evaluating Test-Time Personalization of Web AgentsLLM agents and tool use → Agentic recommender systems
- Optimal Multi-Reward Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
- The Teacher Is a Direction, Not a Destination: Extrapolating RL-Induced Representation Residuals in On-Policy DistillationKnowledge distillation → On-policy and self-distillation for LLMs
- Similar Choices, Different Attention: Cross-Modal Associations in Humans and Vision-Language ModelsMultimodal LLMs / vision-language models → Social bias and fairness in VLMs
- FinRT: Distilling Adaptive Red-Teaming Strategies into Reusable Adversarial Generators in Consumer FinanceLLM safety and security → Prompt injection and agent security
- Staircase Policy: Streaming Inference for World-Action Models with Large Action ChunksWorld models → Embodied and robot world models
- Rethinking Reasoning Paths as Phase-Structured TrajectoriesLLM reasoning → Test-time compute and efficient thinking
- Reliable Parallel Decoding in Masked Diffusion Language ModelsDiffusion models → Discrete and text diffusion +1
- Online Versatile Incremental Learning: Towards Class and Domain-Agnostic Adaptation at Any TimeDiffusion models → Diffusion and flow policies for robotics
- DARE to Mitigate Hallucination: Dual-path Auto-Regressive-aware EditingMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- World4Scorer: Outcome-Grounded World Modeling for Autonomous DrivingWorld models → World models for autonomous driving +1
- RA-CFGCache: From Branch-Level Criteria to Guided-Risk Control under Classifier-Free GuidanceDiffusion models → Diffusion foundations and sampling
- Sample Complexity of Equivariant Reinforcement LearningDeep reinforcement learning methods → RL for robot locomotion and manipulation
- FineART: Fine-Grained Annotated Robotic Trajectory Dataset and Vision-Language-Action Model for Bimanual ManipulationVision-language-action models → Human-video and latent-action pretraining
- One from Infinity: Actualizing Futures from Pretrained World Models into Robot ActionsWorld models → Embodied and robot world models
- What Makes High-Magnification Knowledge Transferable? A Study of Cross-Resolution Distillation in Whole-Slide ImagingKnowledge distillation → Multimodal distillation
- From Retrieval to Reasoning: Agentic Mechanism Prediction from Cell Painting ProfilesLLM reasoning → Clinical and biomedical applications +1
- A Large-Scale Dataset for Multi-Class Financial News Classification in Brazilian Portuguese
- Historical Anchors for Scientific Forecasting on Human-Aware Knowledge Graphs
- CoEvoke: Evoking Multi-Agent Collaboration for Trajectory Collection
- LabInstruct: Benchmarking Situated Instructional Video Generation for Lab Procedures
- Barycentric Anchored Weight Search for Robust Model Merging
- DShuttleNet: A Badminton Doubles Dataset for Evaluating Team Coordination
- Bias Robustness of Genetic Multi-Criteria Sorting versus Learned Rankers under Proxy Skew and Label Contamination
- Physics-Informed State Space Models for Day-Ahead Photovoltaic Power Forecasting
- Disease-level drug approval forecasting from trial-agnostic public data
- Perfect Reconstruction Cannot Show Whether Two Codebooks on a VAE's Latent Space Agree
- SIRNET: Causal Adaptation of Pretrained Embeddings for Semiparametric Treatment-Effect Estimation Under Surrogacy
- When Log Parsing Removes What Matters: Detecting Failures in Distributed GPU Workloads
- Deep Learning for Longitudinal Medical Imaging: A Scoping Review
- Leveraging LLM-Generated Explanations for Detecting Emotionally Rewritten Fake News
- Energy Variation in Training Modern Computer Vision Architectures
- RxnOptBench: Benchmarking LLMs for Reaction-Condition Optimization in Organic Methodology
- Vmem-varphi: Low-Compute Out-of-Distribution Detection in Spiking Neural Networks from Membrane-Potential Statistics
- Fault-Tolerant Budget Conservation in Distributed Multi-Agent Delegation
- Authorization for Self-Modifying AI Agent Populations: Conserving Authority across Replacement, Forking, and Rollback
- Benchmarking System One decision models against trained classifiers and language models for automated decision gates
- Retrospective Open-Vocabulary Memory for Long-Term Object Search
- Beyond Diagonal State Space Models: Exact Non-Abelian Group Tracking, Solvability Barriers, and Geometric Physical Manifolds
- ContractRL: Shielded Group-Relative Policy Optimization for Auditable Tool-Call Repair
- Actions with Receipts: Jointly Binding Claims, Evidence, and Execution for Replayable Tool-Agent Auditing
- Bellman-Certified Rounding for Sparse Policy Deployment in MDPs
- EgoRefine: Ego-Referenced Predictive Alignment and Trajectory-Conditioned Reliability-Aware Fusion for Asynchronous Collaborative Perception
- LensBridge: Frequency-Guided Compound Degradation Adaptation for Lens Aberration Correction and Veiling Glare Removal
- Beyond Pixel Reconstruction: Retrieval-Guided Glyph-Aware Restoration for Low-Resource Manchu Historical Documents
- Where Scientific Search Agents Fail: Decision-Checkpoint Auditing of Exposure and Inspection Attempts
- Bandits with Multiple Optimal Arms: Minimax Regret and Non-Adaptivity
- Tacit-TTS: From Autoregressive Decoding to Masked Prediction for Efficient Transcript-Free Voice Cloning
- Adaptive mixture variational inference for spike-and-slab regression
- Joint Supervised and Self-Supervised Training with Acquisition-Robust Techniques for Accelerated 4D Flow MRI Reconstruction
- ChartRevise: A Dataset and Evaluation Protocol for Exact Chart Editing via Code
- SHIFT-Truck: A High-Fidelity Aerodynamics Dataset and Benchmark for Pickup Trucks
- Template-Search Domain Adaptation via Multi-Stage Feature Alignment for Cross-Modal Object Tracking
- TSGL: Teacher-Student Graph Learning for 3DGS Compression
- Proper Scoring Rule-based Diffusion for Probabilistic Weather Forecasting
- Strong Multilingual Privacy Tagging at Encoder Speed
- Marking Contour Tones in Yor`ub'a: A Typographic and Computational Proposal
- Interpretable but Fragile? Robustness of Concept Bottlenecks under Geometric-Semantic Perturbations
- Geometry-physics confounding impairs PDE learning across varying domains
- Eulerian Motion Reconstruction for Water Scenery
- When Scientific Contradictions Are Lost in Translation
- HIGS: Hierarchical Implicit Grids for Joint Geometric and Semantic Scene Understanding
- Differentiable Structure Learning for Cyclic Linear Gaussian Models with Latent Confounders
- Exo2EgoHOI: Hand-Object-Interaction Aware Exocentric-to-Egocentric Video Generation
- StreamDecisionBench: Evaluating Decisions in Force on Evolving Language Streams
- Methodological Changes to the Attention ResUNet Hourly Precipitation Postprocessor
- Learning-Enabled Estimation: Tight Characterizations under Sample Selection Biases
- After a Decade: Bringing Shadow Removal into the Real World with Agentic Training Data
- SecureVibe: Making Vibe Coding More Secure
- Aperture: Training-Free Multiscale Concept Bottlenecks for Remote Sensing
- Sense and Sensitivity: Benchmarking LLM Clinical Triage Recommendations with Physician Experts
- JARQ: Joint Alternating Refinement for Quantization
- Prompt2Skill: Unsupervised Skill Optimization From Natural Language Instructions
- StereoGaussians: Feed-Forward 3D Gaussian Splatting from Stereo Images
- Restoring without Forgetting: Filter-Level Continual Image Restoration via Parameter-Space Integrated Gradients
- NeurDuo-EEG: A Long-Sequence EEG Foundation Model with Persistent State and Explicit Memory
- FlexRouter: Learning Complementary Model Sets for Flexible LLM Routing
- Retargeting Motions to Diverse Skeletons via Learnable Flattening
- Towards Model as a Library: Offline, Community-Sourced AI for Low-Resource African Languages
- The Advantages of Fresh Sketching for Ridge Regression
- Parameter-Free Zeroth-Order Optimization with Ellipsoidal Sampling
- Detail in Context: A Dual-Scale Machine Learning Framework for Mycosis Fungoides Detection
- Defining and Categorising Human-AI Interactions in Clinical Trials: A Multidimensional Human-AI Classification Approach
- Fairness Theatre: Evaluating Post-Hoc Fairness Interventions in Vendor-Controlled Early Warning Systems
- Say, Echo, Do: Strategic Narratives and Revealed Positioning in Financial Markets
- MedKIT: Evaluating Knowledge Integration and Generalization in Large Language Models
- When a Flatness Proxy Is Not a Function: Robustness Certificates and Training Interventions
- ReLaG: A Scalable Framework Generalizing Random Splits to Data with Latent Relations
- Shifting Mechanisms: How Positional Encoding Choice Shapes In-Context Retrieval
- Generative sequence modeling for infinite memory processes via predictive states
- ShamAN-Q: Shampoo Augmented NanoQuant for Sub-1-bit LLM Weights
- GazeFlow: From Human Gaze Behavior to Generative Egocentric Gaze Prediction
- Does Text Steer Neural PDE Surrogates? A Controlled Diagnostic with OperatorCLIP
- VAmoS Part Deux: Harder, More Realistic Voice-Agent Simulation
- Autoregressive Frontier Expansion: Growing Trees with Graph Machine Learning
- An Empirical Study of Architectural Shift from Traditional to AI-Enabled Simulink Controllers
- What to Attend, What to Keep: Skill-Conditioned Visuotactile Representation with Progress-Guided Event Memory
- Role-guided Speaker Deletion Verification in Clinical Psychiatry Speech Recordings with Audio Language Models
- Gaussian Stippling: Efficient Sorting-Free 3D Gaussian Rendering through Hybrid Sampling and Spatiotemporal Reconstruction
- Multidimensional Observer Model and Perceptual Dimensions of Human Image Quality Assessment
- Anthropomorphism in the age of Large Language Models: An overview of potential risks and mitigations
- Beyond Layers: Position-Resolved Gradient Conflict and Position-Aware Modulation for Unified Multimodal Models
- RetroGEF: Dynamic Graph Edit Flow for Single-Step Retrosynthesis
- KlinikeBench: Evaluating Language Models Beyond Diagnostic Accuracy
- Caption-Mediated Perceived-Safety Estimation for Pedestrian Routing
- Security-Enhanced Seed-Based Weight Quantization for Large Language Models
- Curating Synthetic Data for Task-Specific Visual Perception
- Derandomizing Dense Binary Hypervector Codebooks for Quantized Scalars
- The Backdrop Exposes What the World Around an Agent Costs It
- PAMI: Part Anchored Motion for Text to Human-Object Interaction Generation
- Does Gradient Conflict Predict the Understanding--Generation Trade-off? A Controlled Audit of Conflict-Metric Validity in Unified Multimodal Models
- NAQD Env: A benchmark for selective withdrawal in language agents
- Grokking through the Lens of Minimum-Norm Interpolation
- Reach Into The CHOIR: Free-List Elicitation Uncovers Distinct Model Voices in LLM Ensembles
- An Input-Frugal Deep Learning Framework for Weather-Driven National Crop-Yield Forecasting: A Case Study of Brazilian Soybean
- What Pretraining and Midtraining Make Learnable from Rewards?
- BIND: Binding 3D Robot Actions to 2D Image Features
- A Pre-trained Variational Autoencoder for Gyrokinetic Plasma Turbulence Surrogate Modeling
- TACIT: Optimization Models that Learn from Their Mistakes
- Policy-Conditioned AI-Use Detection: An Evidentiary Framework for Academic Publishing
- LoopVL: Recurrent Visual Intelligence
- Graph Anomaly Detection as Finite-Horizon Control: Training-Free Scoring via Empirical Bayes
- Colorectal Cancer Segmentation with Adaptive Augmentation and Multi-Resolution Ensemble Models
- Evaluating Whether GPT-6 Astra Performs Unsanctioned Supply-Chain Attacks
- Local polynomial density ratio estimation
- A Competing-Hazards Systematization of Loss of Control in Autonomous Agents
- Evaluating Whether LLMs Can Reliably Connect the DOTs?
- Advantage of Sample Complexity in Quantum PAC Learning Requires Inverse Access to State-Preparation Unitaries
- From Codebase to Culprit (C2C): Reducing the Search Space for Bugs with Semantic Retrieval and Hierarchical Reinforcement Learning
- GestAdapt: Workspace-Conditioned Co-Speech Gesture Generation for Humanoid Robots
- SimTrace: Grounded Multimodal User Trajectories Generation for Online User Modeling
- Unified Optimality Conditions for Stochastic Optimal Control in the Rough Path and Ito Frameworks
- Which Tasks Survive Self-Supervised Learning?
- MetaPersona: Task-Grounded Synthetic Populations from Empirical Social Science
- Team MSU GenText-Forensics Challenge 2026 Technical Report
- PTED: A multi-dimensional two-sample test for scientific inference and generative machine learning
- Decode-Latency Feedback Prefill: A Model-Free Controller and Its Generalization Limits
- LeanPolish: Verified Supervision for Lean Proof Compression
- Learning to Plan from Random Exploration
- LogiC-Diff: Embedding Security Properties Into AI-Enabled Cyber-Physical Systems
- Aligned Data Can Induce Misalignment via Context Confusion
- Lower Bounds for Linear-Oracle Online Learning
- Doc2LoRA Provides Decodable Representations of Scientific Ideas
- Self-Evolving Harness on Multiple Tasks with the Agent as Its Own Optimizer
- TALK-Dem: Benchmarking Embodied Task Planning under Dementia-Associated Communication Patterns
- Can an AI Agent Rediscover a Blaschke-Curve Invariant?
- Simulator-Refined Diffusion for Radio-Frequency Inverse Design
- Beyond Mode Collapse: Generating Diverse Synthetic Expert Conversations via Generative Flow Networks
- Continual Learning of Dynamical Systems in Recurrent Neural Networks through Recyclable Unit Gating
- Halluscoring 2026: The first shared task on llms hallucination detection and answer verification
- Function-Space Transformer with Adaptive Anchors
- TrackFish3D: Self-Supervised 3D Tracking of Schooling Fish from Multi-view Videos
- Examining Variation in How Guided AI Tutors Resolve Student Impasses
- OpenCollab: A Multi-Agent Coding Framework with Programmable Collaboration and Controllable Runtime
- Learning Semantic Inpainting for Animatable Gaussian Head Avatars
- CARAT: Do Materials LLMs Reason or Recite?
- Aegis: Generative Gradient Masking for Privacy-Preserving Medical Federated Learning
- Strike a Chord! Modal Kinetic Typography
- Gestalt: a meta-foundation model for astronomy
- Searching for BSM Experimental Signatures with Large Lagrangian Models
- Privacy in Personalized AI Is a System Property, Not Just a Model Property
- Social Choice Foundations for Simulation-Augmented Generation
- Masked Swingers: Harnessing Data Augmentation to Advance Autoencoders for Self-Supervised Learning
- Kinematic signatures of impairment: Detecting alcohol intoxication in e-scooter riders using sensor data and machine learning
- Which Models Work Well Together? Measuring Heterogeneity for LLM Team Selection
- Evaluating Multi-Task Morphological Concept Learning for Pulmonary Nodule Malignancy Assessment in 3D CT
- Raw Imagery Impacting Your AI: Should You Care?
- Robust LassoNet: Enhancing Feature Selection in Neural Networks via Robust Loss Functions
- When Does Randomized Oversight Align AI Agents That Can Conceal?
- NinaXander: Feasibility and Limits of Composing Frozen Language Models Across Architecture Families via a Shared Latent Space
- ContextAdapt: Evaluating Contextual Adaptation and Value Alignment in LLMs
- Framing the Narrative: Ideological Mimicry in Large Language Models
- Forensic-Aware Continual Adaptation for Image Forgery Localization
- ModalFidelity: Routing Modalities for Deepfake Detection on a Budget
- Point2Part: Unified 3D Partitioning from Point Prompts
- Skill-Space Shooting for Autonomous Robot Policy Improvement
- Breakdown of Local Denoising as Semantic Speciation
- Counterfactual Video Generation Enables Scalable Humanoid Loco-Manipulation
- LeapQuant: Efficient Linear Attention with Accurate Recurrent State Quantization
- Cropland PAtteRNS: Parallel Dimensional Attention Networks and Attention to Dataset Disparity for Crop Segmentation in Satellite Imagery Time Series Data
- A Spectral Theory of Distortion in LLM Graph Reconstruction: Sharp Bounds and Empirical Characterization
- EmoRES-TTS: Residual-Enhanced Vector Steering for Emotional Speech Generation
- Beyond the Timeline: Augmenting Long-Video Memory with Grounded Entity Biographies
- PowerSim: Differentiable Physics Simulation and Rendering with Power Diagrams
- FracGen: Learning How Objects Stretch and Tear with Physics-Informed Video Generation
- Pretraining Latent Information Feedback Transformers with Teacher Supervision
- CLeaR: A Unified Framework for Resolving the Leakage-Degradation Dilemma in Style Transfer
- Achieving an O(1/N) Optimality Gap in Average-Reward Weakly-Coupled MDPs
- GA-EIRFS: A Geometry-Augmented Repeat-Factor Sampling Method for Long-Tailed LiDAR 3D Object Detection
- ReCIRC: Rectified Conformal Risk Control
- How Local Mixing Encodes Relative Position in Global NoPE Attention
- Pruning for Efficiency, Paying in Fairness: Demographic Disparities in Pruned Speech-LLMs
- Effective Dense Retrieval using Only In-Context Examples
- Tail-Influence Sampling for CVaR Policy Evaluation
- Probe-Space Preconditioning for Fast and Stable Zero-Order Training
- Dimensionally consistent surrogate modelling through dimensional analysis and harmonic expansions
- Character Training for Risk-Averse Agents
- Neural topology optimization of ship structures under propulsion machinery vibrations
- Traversing the solution space of neural networks with Hessian Null Space Continuation
- OmniTaskonomy: When Does Visual Generation Improve Visual Understanding?
- MUGEN: Interactive Panoramic World Exploration via Camera Control
- Optimal Quantum-Classical Separations for Exact Learning
- A foundation model for energy and radiation systems built on heterogeneous scientific interfaces
- WorldLine: Action-Driven Visual Simulation for Robotic Manipulation
- Latent Inference-Time Guidance of Time Series Foundation Models
- Pow3R-SLAM: Real-Time RGB-D SLAM with 3D Reconstruction Priors
- Gender bias across LLMs is common and highly heterogeneous
- The finite-horizon five-expert prediction problem
- PE-EK-PINN: Physics Embedding with Evolving Kernel for Scalable Physics-Informed Neural Networks
- Auditing Long-Term Memory Evaluation: Repeated Judging, Reader Variation, and Negative Controls
- Beyond Lip Sync: Reference-Grounded Oral Refinement for Audio-Driven Portrait Animation
- When do data mixtures improve scaling laws? Insights from high-dimensional regression
- From Unity Simulation to Diffusion-Based Augmentation: Quantifying Dataset Balance for Robust Object Detection
- HARISSA: Inference-Time Self-Checks for Efficient and Safe Local Language Model Deployment
- No Scale Left Behind: Multi-Scale Autoencoder with Bi-directional Attention for Time Series Anomaly Detection
- Mutual Information Constrained Chernoff Bottleneck
- BITEM at the NTCIR-19 R2C2 Task: Predicting Confidence from Agentic RAG Pipeline Signals
- Which Attention Heads are like the Human Head? Not the Ones that Compute
- ORMA: Optimization-based Monocular 4D Reconstruction of Articulated Animals
- Dagger: Decoupling-based Model Stealing Attack against Graph Neural Networks
- SoL-Refiner: Speed-of-Light One-Step Refinement for High-Resolution Video
- TabFM: A Zero-Shot Foundation Model for Tabular Data
- Kolmogorov-Arnold Classifier Systems as Universal Approximators
- BrainNet Studio: A Unified Toolkit for Brain Network Construction, Intelligent Analysis, and Visualization
- Topological Coherence for Self-evolving Multi-agent Systems
- Scene-Consistent Illumination Transfer for Inserted Advertising Graphics
- A shape-similarity latent space for fluid interfaces: invertible reduced-order modelling of droplet morphology
- Identifiability Guarantees for Drivers and Dynamics of Delayed Physical Systems
- An Efficient Machine Learning Approach for Degradation Forecasting in AEM Water Electrolysis
- Does Local Video Understanding Transfer Across Encounters? The EgoGears Benchmark
- Look Closer: Patch-wise Supervision for AI-Generated Image Detection
- Post-Anomaly Detection Inference for Deep SVDD
- Learning When to Update: A Near-Optimal Timing Bandit Approach
- Learning What to Remember: Long-horizon Counterfactual Memory Optimization
- EpiCon: Collective Agent Learning through Co-Evolving Multimodal Memory
- Pattern Formation in Transformers
- Search Dimension in Unlabeled Projection Pursuit: A Scaling Law for Subspace Restriction
- RLX: A Unified Multi-Backend Tensor Compiler and Distributed Runtime in Rust
- The Unequal Influence of Bad Advice: Using Training Data Attribution to Modulate Emergent Misalignment
- Generated Query Expansion Still Helps Strong Sparse Retrieval: A Controlled Study with SPLADE-v3
- Pixels to Keys: Exploring Spatial and Motion Cues in Gameplay Inverse Dynamics
- Beyond Interaction Capacity: Estimator Scaling with Recursive Models for CTR Prediction
- You Cannot Pick a Provider From the Price List: Market-Aware Routing for Open-Weight LLM Inference
- Scaling Zero-Order Pretraining through Model Sharding
- It's All Training: A Fully Synthetic Single-Stage Recipe for LLMs
- Visual Branch is What You Need for CLIP-based Class-Incremental Learning
- Boids of a Feather Flock Together - Evolving Prey Behaviours Under Different Predator Attack Strategies
- TopoEmbedX: A General Framework for Representation Learning on Topological Domains
- Zero-shot Dependency Parsing with Unsupervised Cross-Lingual Bootstrapping
- How Many Labels Does a Language Need? Annotation Budgets and Cross-Lingual Pooling for African-Language Text Classification
- Retrieval Capacity of Self-Attention Under Competition
- EndoPrior-GS: Dynamic Endoscopic Reconstruction with a Joint Texture Prior
- Learning from synthetic photorealistic raindrop for single image raindrop removal
- Strict-Saddle Landscapes and Multi-Rank Geometry in Low-Tubal-Rank Tensor Sensing
- One Threshold Does Not Fit All Languages: Language-Conditional Deferral for Reliable and Efficient Low-Resource Text Classification
- HandAnthro: Automated Hand Anthropometry from a Single Image
- AnthroDial: Benchmarking LLM Anthropomorphism in Autonomous Social Interaction
- Delta-Matching: Closing the Final Gap of Native 8-bit Training for LLMs
- RelayVSR: Large-Small Model Collaboration for Efficient Real-World Video Super-Resolution
- Is manual software optimization a thing of the past?
- Evaluation Choices Shape Biomedical ML Claims: A Pediatric Pneumonia Benchmark Case Study
- Scaling Influence Functions in LLMs through Eigenbasis-Corrected One-Bit Gradient Projection
- Counterfactual Probing for Parallel Unmasking with Hidden Forest Structure
- Behavioral Convergence Without Representational Convergence: Persistent Training-History Dependence in Neural Networks
- Mixture of Self-Improving Branches For Agent Harness Optimization
- Can a Cacheable Decision Model Follow Rules?
- The Geometry of Inference in Transformer Residual Streams
- Making Duplicate Reimbursement Unrepresentable: A Verified Ethereum E-Invoice System for Humans and AI Agents
- Thinking in Depth, Speaking Directly: Recurrent Latent Reasoning for Paralinguistically Grounded Spoken Dialogue
- Minkowski Attractor Networks: Closed-Form Hyperbolic Flows for Visual Representations
- WINGS: Reference-Free Gaussian Splatting Inpainting with 3D-Native Generative Priors
- Pixel-Level Transformers in Remote Sensing: A Canopy Height Case Study
- Feedback-Calibrated Protein Optimization with Batch-Aligned Tail Arbitration
- CompOrca: Corpus-Scale Compliance Labelling of Instruction-Tuning Data
- ByteTraX: Enhancing the ByteTrack Architecture with Optimised Thresholding
- Challenges and Solutions for Bandits in the Wild: Warm-Started Mixture Bandits for Cross-Cohort Slate Recommendation
- GLaS-JEPA: Gaussian-Regularized Speech SSL without Engineered Prediction Targets
- A neural network that maintains and retrieves memories based on context
- Predictive Self-Supervised Learning Provably Identifies Stochastic Signals under Nuisance
- Adam under Generalized Smoothness with Second-Moment-Type Stochastic Gradients
- Planetary Feature Fields are Scalable Earth Representations
- A Benchmark & Dataset for Detecting AI-Manipulated Visual Evidence in the Court System
- Selecting What Matters: Semantic Compression-Guided Selective Pooling for Long-Context Embeddings
- HiRAE: Hierarchical Representation Autoencoding with Residual Budgets
- When Noise Estimation Hides Basis Misspecification in Repeated Bayesian Inverse Problems
- Which papyrus HTR is good enough? Character-error-rate tolerance of four papyrological tasks on Greek texts
- Multi-Site Real-World Performance of Commercial AI for Pulmonary and Incidental Pulmonary Embolism Detection
- Optimizer-dependent training dynamics converge to the same one-third optimal data scaling
- HyDI: A hybrid Deep Learning-Inductive Logic Programming ensemble for multi-label classification
- Foundation Neural-Network Quantum States for Molecular Potential Energy Surfaces in Second Quantization
- The Camera Inside the Editor: Reading the Implicit Camera of Image Editors with Painted Calibration Patterns
- Weights Read and Write Features: Scalable Parameter Decomposition Grounded in Activation Space
- Spatiotemporal Hyperedges for EEG Seizure Detection and Prediction
- Context Language Models
- Predictive Geometry of Hidden Trajectories in Transformers
- Volatility-Clustering Adaptation for Financial Time Series
- Billiger.de Products: A Bilingual Entity Matching Benchmark
- PolyOCR-Venus: Unified OCR Foundation Models for Text-Centric Visual Intelligence
- VIF-Bench: Evaluating Visual Instruction Following in Multi-Reference Image Generation
- Generative Interactions: Weaving Multiparty Human Motion with Bilevel Latent Dynamics
- SPARK: A General Goodness-of-Fit Assessment via Residual Projection
- Width Expansion as a Method for Class Incremental Learning
- Locating Answer-Correctness Signals in Frozen Large Language Models
- Reader Proficiency Shapes Layer-wise Surprisal Profiles
- WISE-ATTA: When to Ask for Labels in Budgeted Active Test-Time Adaptation
- EngiWorld: What Can Frontier Agents Deliver in Professional Engineering Environments?
- PAIQ: Patch-Aligned Semantic Injection via Residual Rotation
- Learning from Shared-Control Overrides: Context-Driven Acceleration Profile Prediction for Personalized Overtaking
- Med-RADIO: Reducing All Medical Domains Into One via Multi-Teacher Distillation
- Learning Expressive and Compositional Motion Representation via Spectral Skills
- LEMON-ZEST: Evolution-Informed Tokenization for Efficient Protein Language Modeling
- KUPAS MASTER: Distilling the Tacit Expertise of Master Practitioners into Agent-Ready Experience Corpora
- MeanFlowAdvantage: Stable Reward Fine-Tuning for Few-Step Average-Velocity Generators
- Where Privacy Belongs: Placement Diagnosis and Certified Selection for Private Counterfactual Explanations on Graphs
- Semantic Map Sharing and Capability-Aware Coverage Planning for AI-Native 6G Robotic Coordination
- Learning Causal Normalizing Flows from Incomplete Data via Observed-Data Likelihood
- Nonpreemptive Scheduling While Learning Context-Dependent Service Rates
- Are In-Context Images Worth 10 Dimensions?
- The double descent and Runge phenomena in overparametrized polynomial interpolation
- RACE: Relation-Level Counterfactual Explanations for Heterogeneous Graph Neural Networks
- A Finslerian Approach for Embedding Directed Data
- VoxelSage: Tool-Augmented 3D CT Analysis and Simulator-Shielded Sequential Resection Planning for Liver Tumors
- Evaluating and Benchmarking the System One Model Jev
- Flattening the Connectome Spectrum: A Spectral Filter for FC Induces a Pretraining Target for fMRI Encoders
- Co-Linguistics: AI-augmented Theory Construction in Linguistics
- RLTL;DR: Self-improvement by Internalizing Self-generated Feedback
- ProCTI: Prototype-Refined Global Conditioning for Diffusion-Based Time Series Imputation
- Procedural Core: A Compact Recurrent Initialization for Vision Transformers
- Correct, Don't Delete: Mitigating Emergent Misalignment with Corrective Supervision
- Authority Bias in Language Models: Source Deference and User Agreement Are Not Interchangeable
- PHASE: Multi-Regime Modeling of Incompressible Magnetohydrodynamics
- TomoTransformer: Towards a Foundation Model for CT Reconstruction
- GraphVQ: Structure-Aware Autoregressive Decoding over Context-Quantized Graph Tokens
- Independent Verification Paths Are Not Independent: A Case Study of Common-Mode Failure in a Satellite Catalogue Pipeline
- When to Adapt: Multi-Signal Domain Shift Detection for Efficient Training-Free Adaptation in Open-Vocabulary Segmentation
- XU-RS: Explaining Credal Width in Random-Set Language Models
- Credit-Guided Policy Improvement for Test-time Adaptive Vision-Language Navigation
- Rational Clarification by Assistive Agents via Value-of-Information Reasoning
- ReLMem: Learning Recurrent Memory for Longitudinal EHR Modeling
- Learning as Deepfakes Evolve: RF-Prompt for Continual Audio Deepfake Detection
- FedSocket: Recipient-Executable Knowledge Exchange for Heterogeneous Multimodal Federated Learning
- Ornstein-Uhlenbeck Is Hard to Beat, Yet Superlinear Drift Ships Lower Transport Costs
- On Task Scope and Information Retention in Source Coding
- MERGE: Multi-LLM Ensemble for Retrieval via Generative Enrichment
- Decompose Radicals, Then Reward: Fine-Grained Inspection for Accurate Chinese Text Rendering
- Devils in Question Relay: Source-Conditioned Relay Steering to Mitigate Hallucinations in Audio-visual Large Language Models
- A Model-Agnostic Physics-Guided Adapter for Few-Shot Transfer of Coastal Flood Prediction Models to Unseen Regions
- Orthogonal Yet Coupled: Decoupling Geometric Components for Model Merging
- APM-Bench: Benchmarking Cross-session Persistent Memory for Egocentric Streaming Video Assistants
- Benchmarking graph-based models for in-silico toxicity prediction in drug discovery
- Risk-Aware Semantic Grounding for Trustworthy LLM-Based Robot Planning
- End-to-End Optical Semantic Communication over a Nonlinear WDM Fiber Link
- How Can Recommendation Feedback Evolve Agent Memory?
- RunyaNER: Auxiliary Language Selection for Runyankore NER
- Why Adaptive Optimizers Underestimate Rare Tokens
- Principled MAP estimation for inverse problems: bridging the gap between convergence and performance
- Physical Muon: Orthogonalization as an Equilibrium Computation
- Video2STL: Grounding VLM-Generated Temporal Specifications for Robot Learning
- ScaGNN: a Graph Neural Network for Multiple Scattering Simulations
- Demistifying Data and Simulator Assumptions in Supervised Causal Discovery
- Learning to Retrieve Missing Evidence for Long-Term Memory QA
- Variational Augmented Invertible Koopman Autoencoder for probabilistic time series forecasting
- A stochastic subgradient method with optimal failure exponent
- Simultaneous Neural Optimal Transport
- Scale Sensitivity in Low-Bit Post-Training Quantization: Curvature of the Quantization Error Landscape
- Look What You Made Us Cluster: Hate Narrative Extraction from Reddit Discourse
- Complexity-Aware Evaluation of LLM Comprehension
- Routing Should Pay for Itself: Sparse Supervision for Economical LLM Routing
- BeatDance: Generating Beat-Consistent 3D Dance with Hierarchical Spatial-Temporal Modeling
- Learning Macroscopic Dynamics without Reconstructing Microscopic States
- Multi-task learning for the automatic grading of enlarged perivascular space burden using MRI
- Anatomy-Aware Prediction of Bronchoscopic Accessibility from 3D CT
- MoTIF-X: A Multimodal Tokenized Framework for Interpretable and Extensible Molecular Representation Learning
- High-Dimensional Simulation-Based Inference in Latent Spaces
- Looped Transformers as Optimizers
- Compiling Learning Problems into Adaptation Programs for Language Models
- Pretrain Once, Route Anywhere: Towards a Foundation Model for LLM Routing
- Visual Anomaly Synthesis for Model Selection in Data Scarcity
- Teaching LLMs to Generate Challenging MILP Instances via Solver Feedback
- Seek Before You Move: Evidence Seeking for Progress Grounding in Vision-Language Navigation
- PCaPaint: Prostate Cancer Inpainting by Mitigating Shortcut Learning
- When to Retrieve, When to Stay: Uncertainty-Aware Temporal Evidence Allocation for Streaming Video-LLMs
- A Sharp Transition in Data Reconstruction under Differential Privacy
- HyperSAM: A Promptable Foundation Model for Hyperspectral Remote Sensing
- UGO: Unified Architecture for General Multi-Object Tracking by Segmentation
- OFBD: Object-Focused Background Debiasing for Long-Tailed Learning
- The Domain Is a Residue: Adapting Self-Supervised Features, Not Generators
- VISTA: Value-Informed Event Appraisal for Multimodal Emotion Conflict
- Mubric: Mutation Testing-Guided Rubric Generation for LLM Evaluation
- PowerMarketJax: A JAX Benchmark Suite for Multi-Agent Reinforcement Learning in Power Markets
- What Comes Next? Omni-StoryBench for Evaluating Story-Grounded Omnimodal Generation
- Do Agent Benchmarks Do What They Say? An Executable-Contract Audit of Tool-Using Agent Environments
- FLASH: A "Generate Once, Synthesize Many" Framework for Synthetic Anomaly Generation in Industrial Anomaly Detection
- Hybrid Joint-Selective Optimization: Reduced-Space Levenberg-Marquardt Refinement of Low-Dimensional Parameters of Interest
- Technical note on: Zero-Training Feature-Space Alignment via Information Geometry
- Scaling Full Conformal Image Classifiers
- Why Cross-Skeleton Retargeting Is Non-Identifiable: Structural Limits of Generative Motion Models
- SafeLLM4SE: Statistical Evaluation and Reporting for LLM-based Software Engineering Systems
- VISTA-Bench: Benchmarking Multilingual Image Translation with Image-Specific Rubrics
- AssayRouter: Historical Utility Priors for Frozen Molecular Predictor Routing
- Transolver-σ: Joint Spectral-Physical Subspace Modeling for Neural PDE Solving
- Geometry-Aided Channel Deduction with Partial Channel Estimates and Uncalibrated Digital Twin
- Task-Relevant Null-Space Residuals for Non-Injective Neural Mappings
- UniAfford: Token-Routed Multitask Learning for Generalizable 2D-3D Affordance Perception
- Efficiently Approximating Attention Is Hard
- Collision-Aware and Observation-Aligned Object-Centric Scene Reconstruction from Point Cloud
- Loss-Guided Pretraining Data Selection for Time-Series Foundation Models
- Trident: Unifying Guarded Dispatch and Host Execution for PyTorch Triton Workloads
- Asking for What Was Never Requested: Horizontal and Vertical Proactivity in Agents
- DatalogBench: Evaluating Large Language Models on Text-to-Datalog Synthesis
- Seeing Is Not Addressing: Auditing Linguistic Access to Frozen Visual Geometry
- AESOP: Asymmetric Human-Camera Generation with Translation-Intensity Control
- Interacting particle guidance for sampling reward-tilted generative priors
- CredWise: A Controlled Agentic Decision-Intelligence Framework for Explainable and Auditable Credit-Risk Assessment
- OptiCom : A Unified Framework for State-Conditioned Composition in LLM-Driven Optimization
- Information Bottleneck-Guided Adaptive Hypergraph Transformer for Brain Disease Diagnosis
- CRJudgeBench: Can AI Detect Plausible but Invalid Code Reviews?
- Explainable Machine Learning for Multilayer Planar Winding Inductance Estimation
- Pointwise or Pairwise: When Do Pairwise Losses Help Reward Learning, Provably?
- Probabilistic Symbolic-Distillation Model of Droplet Collision for Spray Simulation at High Ambient Pressures
- V-Engram: Trigger-Indexed External Memory for Modular Text-to-Image Personalization
- Exploring In-Context Learning for Handwritten Text Recognition
- Corruption-Robust Sparse Linear Contextual Bandits with Knapsack Constraints
- Accelerated surrogate dynamics for dynamical, stochastic system evolution
- EgoHumanoid-V2: Human-to-Humanoid Transfer of Coordinated Whole-Body Skills for Loco-Manipulation
- Sparse cubical complexes for efficient topology-preservation in image data
- VLM Fine-Tuning for End-to-End Combinatorial Optimization
- End-to-End Self-Supervised RGB-T Tracking without Modality Misleading
- The Vote Hides the Failure: Aggregation Choice and Noise Robustness in Heart Murmur Detection
- GLASS: Global Latent Aggregation with Slot-based Set Decoding for Scalable All-Atom Crystal Generation
- From Learner Behavior to Reusable Skills for Effective and Efficient Learner Simulation
- When Tools Silently Lie: Evaluating and Mitigating Blind Compliance in Tool-Augmented Data Agents
- Multimodal Detection of Higher-Order Behavioral Constructs: Self-Compassion in Structured Reflective Interaction
- MSTypography: Multi-character Semantic Typography via Balancing Word Legibility and Object Recognizability
- SQUARE: Structured Quantum Representation Adapters as Compact Quadratic Feature Maps for Frozen Language Models
- SkillCome: Group Contrast Skill Optimization with Dual Memory
- LLM unbranding: Erasing Commercial Identity while Preserving Generic Utility
- When Should Agents Check External State? Budgeting Observations for Stored Intentions
- Learning the Structure of Triangular Transport Maps
- Cross-Linguistic Effects in Bilingual Phoneme BabyLMs
- Unlocking the Critic: Reward-Free Policy Optimization for LLM Post-Training
- Multichannel Audio Quality Assessment: Extending Pretrained Perceptual Models to Spatial Audio
- NRF-GS: Neural Residual Fields for Expressive and Compact Gaussian Splatting
- Interpretable intrinsic dimension estimation through componentwise calibration of distance and angle
- Neural Constitutive Learning for Generalized Reaction-Diffusion Systems
- Designing a Boundary Negotiating Artifact for Collaborative Socio-Technical Sense-Making in AI Regulatory Sandboxes
- Breaking the Illusion of Review Reliability under Static Evaluation: SCOPE Fuzzing for LLM-based Scientific Reviewers
- Real2Gym: Building Gyms from Videos, Bringing Skills to Robots
- Identifying ODEs from Unstructured Data with Causal Representation Learning
- Traverse: Learning When to Remember, Reset, and Redirect for Long-Horizon Web Search
- ZeroDiff: Zero-Shot Time Series Reconstruction via Informed-Prior Diffusion
- Context without Commitment: Robust Dense Correspondence under Non-Rigid Deformation
- Predictive Safety Curricula for Robust Legged Locomotion
- FACT: Fidelity-Aware Construction of Articulated Twins
- RL-PaO: Prediction as Action in Decision Making under Uncertainty
- A Comprehensive View of Fairness through Distributional Stability
- Message Passing Does More with Less for In-Context Learning on Graphs
- Evolving Towards Better Codes: LLM-Guided Search for High-Distance Binary Linear Codes
- NHO: A Neural Hamiltonian Operator for Anchor-based Region Localization and Dense Correspondence
- Multi-Depth Temporal Fusion for Feedforward, Locally Trained Spiking Neural Networks
- Iterative Exact Discrete Guidance for Energy-Based Sampling
- Selecting The Most Informative Tokens in Natural Language Autoencoders
- Watch-Think-Interact: Bootstrapping Long-Horizon Multi-Turn Streaming Video Reasoning with Reinforcement Learning
- FedLAFP: Low-Rank Aggregation Meets Full-Rank Personalization in Federated Fine-Tuning
- UniBuild: Unified Building Mapping From Multi-Source Optical Remote Sensing Imagery With Detail Decoding and Geometry Regularization
- MotionInsight: Diagnosing Object Motion Deficiencies in Generated Videos
- Beyond Low-Rank Parameterization: Narrowing the Gap Between LoRA and Full Fine-Tuning via Gradient Decomposition
- Language as the Interface: Foundation-Model Contrastive Learning Links Transcriptomes and Electrophysiology
- Physics-Informed Multi-Agent Coordination for Hospital Patient Flow Optimization
- Back2Struct: Making Structured Images Editable Again
- RBF-GNN: Rational Basis Functions for Pseudo-Coordinate based Graph Convolutions
- Embedded Bi-Temporal Building Damage Assessment for On-Board Data Reduction
- CADOC: Cache-Aware Dynamic Object Context for Long-Horizon Agents
- OPFL: Optimistic Verification of Federated Learning via Empirical Boundary
- VesselBench-800K: A Large-scale Perception Benchmark for Multimodal Vessel Detection, Counting, and Density Estimation
- Visual Parallel Search: Learning to Search High-Resolution Images with Parallel Tile Inspection and Adaptive Zoom
- Cross-Organizational SysML Model Integration: A Survey of Challenges and AI-Supported Tasks
- ImbalancE: Inference-Time Latent Search Against Degree Imbalance in Link Prediction
- Salt++: Context-Aligned Post-Training for Few-Step Streaming Multimodal Generation
- CypherTurn: A Multi-Turn Benchmark for Conversational Text-to-Cypher Evaluation and the Autonomy Divergence
- CF-LoRA: Decoupled Factor Aggregation and Adaptation-Aware Client Clustering for Federated LoRA Fine-Tuning
- UltraMatch: Transport Path Routing for Ultra-Fast and Memory-Efficient Image Matching
- AMU:Admission and Memory Update for Personalized Conversations---Structured Memory with SLM Guided Control
- A Dual-Track Curation-and-Classification Framework for Resolving Ground-Truth Label Noise in Operational Sentinel-2 Wheat Area Estimation
- Repetition, Not Length: Isolating the Counting Failure in Neural Text-to-Speech
- Structured Visual Target Learning For Cross-Subject eeg-to-image retrieval
- Equally Good, Yet Different: Benchmarking Rashomon sets in AutoML packages
- Prior-Driven Enhancements in 3D Gaussian Splatting: Normals and Depths Regularization
- TaskBridge: Bridging Unsupervised Tabular Anomaly Detection and In-Context Learning via Virtual Tasks
- JudgeCast: Time Series Forecasting with Experience-Informed Covariate Judgements
- Chinese-Jev: Bringing System One Model to Chinese-Language Tasks
- VStress: Correlation-Aware Auditing and Adaptive Budget Allocation for Repeated Verifiers
- Beyond Readability: Evaluating Task Information Recoverability
- Purlin: Separating Orchestration from the Datapath of Collectives
- Cool the Sampler, Not the Learner: Sampling Temperature Moves the Staleness Cliff of Importance-Corrected GRPO
- ER-JEPA: Experience Replay Improves Joint-Embedding Predictive Learning in Language Models
- Scalable Diffusion SBI for Compositional Inference under Simulator Misspecification
- Dual-Channel Robust Group-Relative Policy Optimization via Advantage and Sequence-Weight Estimation
- Safe-by-Design Learning via Energy-based Neural Networks
- DispFlow-GS: Displacement Flow Supervision with Motion Disentangling for Monocular Deformable 3D Gaussian Splatting
- WeLike2Party! In-Context Motion Transfer for Multi-Human Image Animation
- VLALight: A Vision-Language-Action Model for Traffic Signal Control
- Learn from the Gap: Differential-Aware Advantage Pruning with Adaptive Rollout Sampling for GRPO
- Neuro-Symbolic Computer Use: Learning Reusable Policies for Reliable and Efficient Execution
- State Transport Routing for Short-horizon Adaptation in Multi-horizon Photovoltaic Forecasting
- Track-and-Complete: Learning Humanoid Skills from a Single Failed Human Video
- Benchmarking Automatic Speech Recognition Tools for Iberian Languages
- Seg3DParts: Segmentation-Grounded Controllable Part-Level 3D Generation
- Can Language Models Learn to Forecast Stock Prices
- BaLEEN: Biasing with Latent Encoded Entities for Context-Aware ASR
- SafeVantage: Vantage-Aware Memory for Reliable Embodied Decisions
- MultiTalk: Scaling Full-Duplex Speech Models to Long, Multi-Party, Bilingual Conversation
- RAEGNet: Relation-Aware Evidence Graph Network for Harm-Aware Multimodal Fake News Detection
- Digital Twin Modeling of Quantum Dynamical Systems: Dissipative Quantum Reservoir Computing
- Momentum-Coupled Rubric Adaptation for Detailed Image Captioning
- ProGuT: Label-Efficient Panoptic Segmentation for Forest Scenes
- SINO: Scale-Invariant Neural Operator
- Beyond Sub-Gaussian Detector Scores: Robust Weighted Profile-Loss Change Point Detection for Human-LLM Text Segmentation
- Architecture Alignment With Sparse Priors in Tabular Foundation Models
- Less Supervision, Better Generalization: Weakly Supervised Fake Region Localization in Diffusion-Edited Images
- What You Observe Determines How You Identify Causal Effects: Evaluating Causal Models across Observational Views
- S4VY: Segment Anything in Feed-Forward 4D Visual Geometry
- Seeing Time: Visual-Temporal Representation Learning for Interpretable Time Series Clustering
- S2T-Unet: A Structure-to-Style Framework for Inter-Modality MRI Translation
- Where the Model Changes Its Mind: Hindsight-Divergence Localization for Efficient Reinforcement Learning with Verifiable Rewards
- IronLLM: Forging Compact Edge-Native Language Models for Real-Time Embodied Intelligence
- Socialality Anchors: Towards Group-bounded Trajectory Prediction
- Rethinking Multimodal Fake News Detection in the Generative AI Era
- An Effective, Reliable, and Robust Framework for Human Activity Recognition Using Wearable Sensors
- Automated Screw Planning for Reduced Pelvic Fractures Based on Statistical Shape Models and Deep Learning
- GlassFormer: Learning Real-time Glass Segmentation using Radar-Depth Fusion
- Does the VGGT Family Need All Its Layers?
- You Cannot Recover What Was Never Measured: Quantifying the Information Ceiling of Ultra-Low-Field MRI Super-Resolution
- Where Does Staleness Accumulate? Pool Aware Effective Staleness Control for Asynchronous RL in LLM Post-Training
- RED: Reconstruction Evolution Dynamics for Generalizable AI-Generated Image Detection
- CurvSpec: Adaptive Multi-Curvature Learning for Partial Relevant Video Retrieval
- Geometry-Conditioned Fixed-Scaffold Encoders for Time-Warp Robust Sequence Retrieval
- Spotter: Let the Embodied Model Lead, and the VLM Reflect for It
- CANTO: CAD-Native Transformer Operators for AI-Aided Engineering
- EasyPPO: Stabilizing the Critic Is Key
- Scene Retargeting: Learning Object Placement with Analogical Transfer
- AI as a Compiler: Compiling Triton kernels without the Triton compiler
- Seeing What Should Be Heard: Diagnosing and Repairing Cross-Modal Shortcuts in Omni-Modal LLMs
- Where Does Randomness Matter in Neural Cellular Automata?
- RAE-PPG: Duration-Grounded Retain-and-Extend Pretraining for PPG Foundation Models
- Harnessing Large Language Models to Compile Task-Relevant Context into Bayesian Optimisation
- DRHeC: Differentiable Rendering for Hand-Eye Calibration with RGB-Based Gradients
- Causal-EVC: Breaking Emotional Spurious Causality via Spatiotemporal Grounding and Counterfactual Intervention
- DSPO: Diversity-aware Subjective Policy Optimization for Robust Emotional Reasoning
- Beyond Conditional Independence: Root Cause Analysis with Deep Causal Models
- Emergent Specialization in Populations of Self-Supervised Collaborative Vision Experts Without a Shared Gate or Cross-Agent Gradients
- When Can Prefixes Compile LoRA? Exact Resource-Capped Tests for Frozen Attention
- Federated Clustering with Unknown Local and Global Cluster Cardinalities
- QuantMLA: Function-Aligned Dual-Path Quantization for Low-Bit MLA KV Caching
- Dual-Mode Low-Rank Learner with Bridge-Prototype Ensemble for Vision-Language Class-Incremental Learning
- NesTok: Nested Self-Aligned 1D Tokenizer for Autoregressive Image Generation
- Drag as Evidence: Motion-Grounded Latent Recomposition for Drag-Based Editing
- Does a prosody-trained representation help beyond trainable fusion? A parameter-matched study with frozen HuBERT
- cktFormer: Transformer-Based Approach for Automated Analog Circuit Design
- EASE: Behavior-Adaptive Skill Curation for Self-Evolving Agents
- Distinguish or Homogenize: Last-Chance Policy Identification and Risk-Budgeted Recovery under Irreversible Resource Depletion
- Efficient Offline Learning of Ranking Policies via Top-k Policy Decomposition
- Backpropagated Output Momentum: Relocating Optimizer History from Parameters to Task Space
- Reconstructing the Vocal Tract with Differentiable Acoustic Simulation
- From Neurons to Conversation: Speech Brain-Computer Interfaces
- BiFE: Search-Efficient Discovery of CPU-Only Branching Policies via LLM-based Bi-Fidelity Evolution
- Can Agents Design Libraries for Agents?
- Can AI Scientists Change Their Minds? Prior-Evidence Conflict in Synthetic Universes
- CALIBUDGET: Calibration-Guided Source Allocation for Fixed-Budget Mixed-Reasoning Adaptation
- Information-theoretic receding-horizon active learning of nonlinear dynamical systems
- Into the danger zone: stable extrapolation in high-dimensional function and operator learning
- LAURA: Knowledge Distillation for Interpretable Ambiguous Clause Identification in Legal Contracts
- JudgeProfile: Understanding and Steering Subjectivity in LLM Judges
- When Is Coarse Supervision Worth It? Cost-Aware Learning under Unknown Aggregation
- Quantum Fidelity Landscape-Guided Prior Calibration for Single-Circuit QGAN Image Generation
- Learned Queries and Keys Are All You Need: Replacing the Value Projection with Structured Transforms
- AESplat: Advancing Pose-Free Feed-Forward 3D Gaussian Splatting via Decoupled Appearance Modeling
- Normalize-Then-Precondition: A Hierarchical Approach to Marginal Scale and Interaction Geometry for LLM Training
- Video2Skill: From Streaming Experience to Reusable Embodied Skills
- CHAIN: Calibrated LLM Forecasting via Causal-Temporal Hypergraph Inference
- MyoCodec: A Streaming Neural Codec for Electromyography
- Where Root Cause Analysis Fails: A Retrieval-Reranking Decomposition
- When Semantics Matter: Reliability-Aware Semantic-Rhythm Control for Co-Speech Gesture Generation
- MARCO: Multi-Round Agentic Reinforcement for Conditional Molecular Optimization
- MLToolBench: Learning Tool-Augmented Agents for Machine Learning Development
- Understanding Private Evolution as Learning-Augmented Clustering
- ReWorld-Track: A Recursive Event World Model for Language-Guided Multi-Camera Tracking
- G"odel Forest: Balancing Search Depth and Breadth for Data-Centric Recursive Self-Improvement
- Human-inspired, Task-Dimension-Guided Exploration for Efficient Learning in High Dimensions
- FairDiff: Mitigating the Self-Reinforcing Matthew Effect in Diffusion Recommender Models
- FineSID: Scalable and Efficient Semantic Identifier Learning for Generative Recommendation
- Stochastic Heavy Ball with Polyak Step Size and Armijo Line Search: A General Convergence Analysis
- GenLimitLib: A Formal Library for Language Generation in the Limit and AI-Assisted Mathematical Research
- AutoLoCo: Communication Efficient Distributed LLM Training via Adaptive Synchronization
- You Only Reprogram Once: Rethinking Prolonged Training for Visual Reprogramming
- Byzantine-Robust Federated Representation Learning
- On-Policy Parameter Update Direction Underlies Generalization in LLM Post-Training
- Not Every Correction Helps: Gain-Guided Continual Test-Time Adaptation
- Replay the Curvature: Accurate and Scalable NVFP4 Quantization for Large Language Model Inference
- Where Predictive Supervision Goes Shapes What VLA Policies Learn
- OCA: ODE-Driven Cross-Attention for Image-to-Point-Cloud Registration
- A Digital Simulation Toolkit for Physics-Based Generation of Realistic Experimental Scanning Tunneling Microscopy Images
- What Makes Recurrence Effective in Looped Language Models?
- Physics-Aware Machine Unlearning for Cyber-Physical Systems
- DualTrack: Synchronized speech-gesture generation via symmetric coupling of pretrained priors
- Neural Structural Reasoner: A Brain-inspired Architecture for Reasoning over Structured Knowledge
- SemPSG: A Semantic Channel-Aware Foundation Model for Polysomnography Analysis
- Generating Edit-Inducing Questions for AI Research Manuscripts
- CrossTimeEdit: A Decade-Spanning Cross-View Dataset and Reward-Guided Editing for Historical Street-View Generation
- CI-PINN: Causal Integral Physics-Informed Neural Network for Solving Evolution Equations
- Selective Elicitation as a Commercial Influence Channel: A Reproducible Synthetic Shopping-Agent Stress Test
- Multi-Channel Mitigation of Source-Trust Shortcuts in Fact-Checking RL Agents
- Communication-Efficient Agnostic Federated Learning via Faster Convergence and Compression
- Best Practices in EEG Analysis: Preprocessing, Modeling, and Machine Learning
- Pixel-wise Exposure for Highly Robust In-Vehicle Remote-PPG
- Second-Moment Stochastic Approximation Methods
- Scaling Video Generation for Reasoning: At What Cost?
- Beyond Legibility: Benchmarking Visual Text Rendering and In-Place Editing in Unified Video Generation
- Optimal detection of general moment changes: Simultaneous mean and covariance change detection and beyond
- Learned Reporting Preferences in RLVR Can Conflict with the Current Request
- Transformers Stop Thinking Too Early, and a Tiny LoRA Fixes It
- Making Analog Training Scale: Co-Designing Mapping, Optimizer, and Converters
- Factorized Scheduling Principle: Learning Interpretable and Transferable Policies via Structured Additive Functions
- Long-Term Memory-Guided Enhancement for Target Perception in Audio-Language Models
- From Checkpoint Variation to Selection Gains in Supervised Fine-Tuning
- AffectReveal: Event-Grounded Emotion Recognition Beyond Visual Appearances
- FM-ReID: Selective Competitive Token Routing for Object Re-Identification
- HiTS-CL: A Continual Learning Framework for Long-Horizon Temporal Knowledge Graph Extrapolation
- SCCM: Spherically Consistent Coarse Matching for ERP Dense Feature Correspondence
- DraftTrace: A Multi-View Analytics Environment for AI-Integrated Writing
- Retrieval Sensitivity to Identity Signals in Queries
- Hierarchical Utility Calibration for Structured Multiclass Decisions
- Triadic Linear Attention: Three-Dimensional Recurrent States for Long-Context Sequence Modeling
- SCOPE: Observation-Conditioned Full-Target Prediction for Sparse PDE Inference
- Reliability Testing of Medical Model Performance under Distributed Deployment
- PDE-OBS: Controlled Evaluation Across Observation Patterns
- Distilling Privileged Control Barrier Functions into RGB-Only Safety Filters for Dynamic Visual Navigation
- LIBERO-MAX: Do Robot Policies Adapt When the World Changes?
- Large-scale factor analysis shows machine intelligence is only partially interpretable
- Efficient and Scalable Physics-Guided Fully Convolutional Spatiotemporal Learning for 3D Microstructure Evolution Prediction
- AVIO: Learning to Add and Remove Sounding Objects in Audiovisual Scenes
- Towards Breaking the Learning System Wall Using Multimodal Tutoring Transcriptions
- InterBias-SV: Compound Conditions in Speaker Verification
- Reimagine Video Dynamics
- Human-AI Collaboration: From Paradoxes to Patterns
- Quantum Computing for Network Security Classification: Near-Term Classification and Long-Term Memory Efficiency
- Learning to Harvest Without Collapse in a Regenerative Commons: A Lagrangian Framework
- Guard Models Are Overconfident Where Base Models Are Uncertain
- Going Beyond State-Reaching: Learning Abstractions for Intrinsically Motivated Option Discovery
- DisCoMBO: Steering Expert-in-the-Loop Black Box Optimization via Distributional Conformance
- Emergent Tonal Structure in Learned Chord Embeddings and Its Relation to Tonal Tension
- Fisher-IRG: Fisher-Induced Local Invariant Representation Geometry across Language and Vision Models
- Memory Consolidation Flattens the Temporal Shape of User Facts
- Emergent phases of superposition: from partial to full representation
- DynamicHOI: Coupled Dynamics for Physics-aware HOI Reconstruction
- Channel-Dependent State Space Model for Multivariate Time Series Forecasting
- Invariant Atoms: Sparse Coordinates of Local Semantic Geometry in Language Model Representations
- Theory on Attention Dynamics for Out-of-Distribution In-Context Learning
- Bits Under ZK-LLM: Evaluating Zero-Knowledge-Friendly Quantization for Verifiable Private LLM Inference
- Merlin Plus: A Large-Scale, Multi-Cancer, Image-Mask-Report Dataset
- MemFold: Learning Compact Soft Memory for Long-Context Personalization via On-Policy Optimization
- The Safety Operator: Modulating the Expression of Safety Instructions via Spectral Optimization
- Temporal-Aware Fusion for Robust Outdoor LiDAR Localization
- Towards Scalable Context-Aware Single-Cell Spatial Transcriptomics Prediction from Histology Images
- Losing the name before the box: measuring and repairing what narrow fine-tuning costs a detector outside its deployment vocabulary
- Support-Set Target Leakage in Relational Foundation Models during In-Context Learning: Model Dependence and Evaluation Reliability
- Eternal Sunshine of the Spotless Mind: Systematically Erasing LLM's Memories
- Longer Records, Broader Invariance: The Hidden Scaling Problem in Longitudinal Contrastive Learning