Papers
Fri 29 May 2026
683 papers
- Detecting Hidden Behaviors in LLMs via Activation-matched FinetuningLLM safety and security → Backdoor and data poisoning attacks
- Position: Profiling Game Worlds by Transition ComplexityWorld models → Video-generation world models and simulators +1
- Position: Collusion Risks Among AI Reasoning Agents Justify Certification Requirements for Making Market DecisionsLLM reasoning → Reasoning for agents, planning and code +1
- Position: Evaluations of AI Moral Reasoning Still Miss Half of the PictureLLM reasoning → Reasoning benchmarks and evaluation
- Why Do AI Agents Break Rules? How Framing, Context, and Social Signals Shape ComplianceLLM agents and tool use → Agent threats, guardrails and governance
- What Drives LLM Self-Reflection? A Controlled Ablation of Uncertainty Routing in Armed Conflict ForecastingLLM reasoning → Test-time compute and efficient thinking
- LLMs Know the Constraint But Do Not Use It: Activation Bottlenecks in Pragmatic Constraint ReasoningLLM reasoning → Test-time compute and efficient thinking
- Carefully Considering Culture: Analyzing LLM Alignment in Single- and Multi-Cultural Settings using Cultural Consensus TheoryLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Cost-Effective Automated Judging of Natural-Language Mathematical ProofsLLM reasoning → Mathematical reasoning
- Beyond Memory: A Templated Substrate for Heterogeneous Collaborative Knowledge Work with LLM AgentsLLM agents and tool use → Agent memory systems
- Synthetic Scenario Generation for Evaluation of Industry 4.0 AgentsLLM agents and tool use → Financial trading and forecasting agents
- SF-AMS: Strategic Forgetting for Structured Memory in LLM AgentLLM agents and tool use → Agent memory systems
- Do VLMs Read or Rewrite? On Transcription Faithfulness in Vision-Language ModelsMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- Lost in Context: Addressing Context Anxiety in Large Language ModelsLLM reasoning → Test-time compute and efficient thinking
- Verifier-First Evaluation of Agentic LLMs for Infrastructure-as-Code GenerationLLM agents and tool use → Software engineering coding agents
- LISA: Linear-Indexed Sparse Attention for Efficient Long-Context ReasoningLLM reasoning → Test-time compute and efficient thinking
- A Systems-Level Analysis of Sensitivity, Robustness, and Stability in Retrieval-Augmented GenerationRetrieval-augmented generation → RAG robustness and adaptive retrieval
- Harnessing Agent Skills: Architectural Patterns and a Reference Architecture for Skill-Mediated LLM AgentsLLM agents and tool use → Agent skill learning and evolution
- Physical Atari: A Robust and Accessible Platform for Real-time Reinforcement Learning on RobotsDeep reinforcement learning methods → RL for robot locomotion and manipulation
- LEAF: Growing Trees Without Branching for Speech-Aware Large Language Model Post-TrainingLLM reasoning → Audio-language model reasoning
- SRT: Super-Resolution for Time Series via Disentangled Rectified FlowDiffusion models → Inverse problems and image restoration
- MetaEvo: A Meta-Optimization Framework for Experience-Driven Agent EvolutionLLM reasoning → Reasoning for agents, planning and code +1
- Sample-Efficient Post-Training for LEGO Spatial-Physics ReasoningLLM reasoning → Spatial and embodied reasoning
- VisualLeakBench: Reproducible Action-Boundary Propagation Failures in Vision-Language AgentsLLM agents and tool use → Multimodal and embodied agents
- TadA-Bench: A Million-Variant Benchmark for Future-Round Discovery Toward Agentic Protein EngineeringLLM agents and tool use → Medical and scientific domain agents
- Detect Before You Leap: Mirage Detection in Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Grounded Decoding: Retrieval-Anchored Probability Fusion for Faithful RAGRetrieval-augmented generation → RAG robustness and adaptive retrieval
- Topology-Aware State Abstraction with Tangle Cores for Markov Decision ProcessesDeep reinforcement learning methods → Deep RL algorithms and representations
- AgentxGCore: Agentic AI for Next-Generation Mobile Core NetworkLLM agents and tool use → Agentic AI for wireless networks
- Multi-Objective Reference-Aligned Machine UnlearningLLM safety and security → Machine unlearning
- PR2: Predictive Routing Replay for MoE-Based LLM Reinforcement LearningMixture-of-experts → MoE in reinforcement learning and robotics
- Zamba2-VL Technical ReportMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- VESTA: Visual Exploration with Statistical Tool AgentsLLM agents and tool use → Multimodal and embodied agents
- SUPREME: A Multi-GPU Framework for Reproducible Image Unlearning Method EvaluationLLM safety and security → Machine unlearning
- Score-Control for Hallucination Reduction in Diffusion ModelsDiffusion models → Medical imaging and segmentation
- The Deterministic Horizon: When Extended Reasoning Fails and Tool Delegation Becomes NecessaryLLM reasoning → Prompting and chain-of-thought reasoning
- Constrained Whole-Body Tracking for Humanoid RobotsDeep reinforcement learning methods → RL for robot locomotion and manipulation
- LFA: Layer Feature Attention for Run-Time Introspection of 2D Object Detectors in Automated DrivingEnd-to-end autonomous driving → VLMs for autonomous driving
- Agentic Authoring of Interactive Multiview Visualizations in GenomicsLLM agents and tool use → Multimodal and embodied agents
- Quantifying the Salience of Geo-Cultural Values for Pluralistic Safety AlignmentLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- Reinforcement Learning with Pairwise Preferences in Long-Term Decision ProblemsDeep reinforcement learning methods → RL training of language and agent models
- GLENS: Global Search via Learning from Solver Iterates with Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- From "Weak" Signals to Strong Models: Preference Delta Aggregation with LoRA MergingLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- How Far Do Auto-Interpretation Labels Generalize: A Controlled Study Across Languages, Scripts, and RewordingsMechanistic interpretability → SAE features and their applications
- Drift Q-LearningOffline RL and imitation learning from data → Diffusion and flow policies for offline RL +1
- (HB-ARFM) History-Bootstrapped Flow Matching for Inverse Boiling ReconstructionDiffusion models → Flow matching, time series and science
- From Noise to Control: Parameterized Diffusion PoliciesDiffusion models → Diffusion and flow policies for robotics
- Isolating LLM Lexical Bias: A Curation-Free Triangulated Metric for Preference-Stage LearningLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- LLMs Need Encoders for Semantic IDs TooMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- DRL-Based Pose Control for Double-Ackermann Robots Under Actuation UncertaintiesDeep reinforcement learning methods → RL for robot locomotion and manipulation
- How Generation Architecture Shapes Code Complexity in Multi-Agent LLM Systems: A Paired Study on HumanEvalLLM agents and tool use → Software engineering coding agents
- Rethinking the Role of Temperature in Large Language Model DistillationLLM reasoning → Prompting and chain-of-thought reasoning
- Bridging Reasoning Trajectories in On-Policy Distillation via Near-Future GuidanceLLM reasoning → Prompting and chain-of-thought reasoning +1
- Real2SAM2Real: Generative 3D Caches as Complementary Context for Video DiffusionDiffusion models → 3D, point cloud and scene generation
- Adaptive Order Policies for Masked DiffusionDiffusion models → Discrete and text diffusion
- The Representation-Rationalizability Tradeoff in Reward LearningLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Synthetic Data from Cross-Domain Events for Large-Scale Recommendation SystemsSynthetic data and self-improvement for LLMs → LLM synthetic data generation
- Flow Matching for Convective-Scale Precipitation DownscalingDiffusion models → Flow matching, time series and science
- Hyperbolic and Evidence-Prioritized Experts for Large Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
- Robust Shielding for Safe Reinforcement LearningDeep reinforcement learning methods → Safe and constrained RL
- Closed-Loop Neural Activation Control in Vision-Language-Action ModelsVision-language-action models → Efficient VLA inference and adaptation
- StressDream: Steering Video World Models for Robust Policy Evaluation and ImprovementWorld models → Embodied and robot world models
- Per-Group Error, Not Total MSE: Fine-Tuning Vision-Language-Action Models for 11-DoF Mobile ManipulationVision-language-action models → Generalist VLA models and benchmarks
- Geodesic Flow Matching for Denoising High-Dimensional Structured RepresentationsLLM reasoning → Spatial and embodied reasoning +1
- MindZero: Learning Online Mental Reasoning With Zero AnnotationsLLM reasoning → Reasoning benchmarks and evaluation
- Continuous Reasoning for Vision-Language-ActionLLM reasoning → Spatial and embodied reasoning +2
- LithoGRPO: Fast Inverse Lithography via GRPO Reinforced Flow MatchingDiffusion models → Diffusion and flow policies for robotics
- Quantized Reasoning Models Think They Need to Think Longer, but They Do NotLLM reasoning → Test-time compute and efficient thinking
- APE: Agentic Prompt Enhancer for Image Generation and EditingLLM agents and tool use → Multimodal and embodied agents
- BAGEN: Are LLM Agents Budget-Aware?LLM agents and tool use → General LLM agent frameworks and benchmarks
- Safe2Drive: Evaluating Safe Driving Behaviors of E2E Autonomous Driving ModelsEnd-to-end autonomous driving → Adversarial scenarios and safety testing
- Learning to Construct Practical Agentic SystemsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Agentic Transformers Provably Learn to Search via Reinforcement LearningLLM agents and tool use → Reinforcement learning for LLM agents
- CAST: Non-Privileged Clipped Asymmetric Self-Teaching with Advantage Flipping for GRPOLLM reasoning → Reinforcement learning for reasoning +1
- Benchmarking Multimodal LLMs on Code Generation for Complex Interactive WebpagesLLM reasoning → Multimodal reasoning +1
- DiffCrossGait: Trajectory-Level Alignment for 2D-3D Cross-Modal Gait Recognition via Latent DiffusionDiffusion models → Video generation
- PrivacyPeek: Auditing What LLM-Based Agents Acquire, Not Just What They SayLLM agents and tool use → Agent threats, guardrails and governance
- Emergence of Exploration in Policy Gradient Reinforcement Learning via RetryingDeep reinforcement learning methods → Deep RL algorithms and representations
- Persona Attack: Incremental Memory Injection Jailbreak Attack against Large Language ModelsLLM safety and security → Jailbreaking
- StemBind: When MLLMs Get Lost Between Rules and Instances in Abstract Visual ReasoningLLM reasoning → Multimodal reasoning +1
- BudgetDraft: Acceptance-Aware Multi-View Training for Sparse-KV Speculative DecodingEfficient LLM inference and serving → Speculative decoding
- GEM: Geometric Erasure by Contrastive Velocity Matching in Rectified FlowsDiffusion models → Robustness, privacy and adversarial aspects +1
- Linear Scaling Video VLMs for Long Video UnderstandingMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- KLIP: localized distribution shift detection via KL-divergence with diffusion priors in Inverse ProblemsDiffusion models → Medical imaging and segmentation
- Stateful Online Monitoring Catches Distributed Agent AttacksLLM agents and tool use → Agent threats, guardrails and governance +1
- TunerDiT: Training-free Progressive Steering of Diffusion Transformer for Multi-Event Video GenerationDiffusion models → Video generation
- LongTraceRL: Learning Long-Context Reasoning from Search Agent Trajectories with Rubric RewardsLLM reasoning → Test-time compute and efficient thinking +1
- nuReasoning: A Reasoning-Centric Dataset and Benchmark for Long-Tail Autonomous DrivingEnd-to-end autonomous driving → VLMs for autonomous driving
- What Gets Unmasked First? Trajectory Analysis of Diffusion Models for Graph-to-Text GenerationDiffusion models → Discrete and text diffusion
- What Am I Missing? Question-Answering as Hidden State ProbingLLM reasoning → Reasoning benchmarks and evaluation
- EGOSTREAM: A Diagnostic Benchmark for Streaming Episodic Memory in Egocentric VisionEfficient LLM inference and serving → Visual token pruning in multimodal models
- Vision-Language Models Suppress Female Representations Under Ambiguous InputMultimodal LLMs / vision-language models → Social bias and fairness in VLMs
- Preference-Aware Rubric Learning for Personalized EvaluationLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- UNISON: A Unified Sound Generation and Editing Framework via Deep LLM FusionDiffusion models → Audio, speech and music
- SVI-Bench: A Dynamic Microworld for Strategic Video IntelligenceLLM agents and tool use → Multimodal and embodied agents
- On the Relationship Between Activation Outliers and Feature Death in Sparse AutoencodersMechanistic interpretability → Sparse autoencoder training and evaluation
- If LLMs Have Human-Like Attributes, Then So Does Age of Empires IILLM agents and tool use → Social simulation and multi-agent debate
- Personalize Your Large Vision-language Models With In-context Prompt TuningMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Skill Reuse as Compression in Agentic RLLLM agents and tool use → Agent skill learning and evolution
- Evaluating Factual Density in Multi-Source RAG: A Study in Medical AI AccuracyRetrieval-augmented generation → RAG robustness and adaptive retrieval
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- LinTree: Improving LLM Reasoning with Explicitly Structured Search HistoriesLLM reasoning → Test-time compute and efficient thinking
- Are Full Rollouts Necessary for On-Policy Distillation?Knowledge distillation → On-policy and self-distillation for LLMs
- Batched Differentiable Rigid Body Dynamics in PyTorch for GPU-Accelerated Robot LearningDeep reinforcement learning methods → RL for robot locomotion and manipulation
- IDOL: Inverse-Dynamics-Guided Future Prediction for End-to-End Autonomous DrivingWorld models → World models for autonomous driving +1
- AutoSci: A Memory-Centric Agentic System for the Full Scientific Research LifecycleLLM agents and tool use → Web, search, and research agents
- VolFill: Single-View Amodal 3D Scene Reconstruction with Volumetric Flow MatchingDiffusion models → 3D, point cloud and scene generation
- GPU Forecasters: Language Models as Selective Surrogates for Kernel Runtime OptimizationLLM agents and tool use → Software engineering coding agents
- PithTrain: A Compact and Agent-Native MoE Training SystemLLM agents and tool use → General LLM agent frameworks and benchmarks +1
- VisionPulse: Dynamic Visual Sparsity for Efficient Multimodal ReasoningLLM reasoning → Multimodal reasoning +1
- Fine-grained Verification via Diagnostic Reasoning Supervision for Aspect Sentiment Triplet ExtractionLLM reasoning → Audio-language model reasoning
- Used Car Salesbots? Honesty and Credulity of LLMs as Bargaining Agents under Partial InformationLLM agents and tool use → Financial trading and forecasting agents
- Answer-Set-Programming-based Abstractions for Reinforcement LearningDeep reinforcement learning methods → Interpretable and logic-guided RL
- SCOPE: Self-Play via Co-Evolving Policies for Open-Ended TasksSynthetic data and self-improvement for LLMs → Self-play RL for reasoning
- YARD: Y-Architecture Register Decoding for Efficient Hallucination Mitigation in Large Vision-Language ModelsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- FAM-Bench: A Multimodal Benchmark for Condition-Aware Food-as-Medicine ReasoningLLM reasoning → Clinical and biomedical applications
- Skill Availability and Presentation Granularity in Large-Language-Model Agents: A Controlled SkillsBench StudyLLM agents and tool use → Agent skill learning and evolution
- The Sword, Shield, and Achilles' Heel: Characterizing the Linguistic Inductive Bias of Large Language Models for Spatial Reasoning in Navigation PlanningLLM reasoning → Spatial and embodied reasoning
- "Inctelegi Romanecste?'' A Recipe for Romanian Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Constrained Multi-Objective Reinforcement Learning with Max-Min CriterionDeep reinforcement learning methods → RL for games and combinatorial optimization
- Multi-Turn Multi-Agent Dialogue for Collaborative Reconstruction Improves VLM Performance on Spatial Reasoning, But Only BarelyLLM reasoning → Spatial and embodied reasoning +1
- Unlocking Fine-Grained Translation Quality Estimation in LRMs through Mutually Boosting Implicit and Explicit ReasoningLLM reasoning → Reasoning benchmarks and evaluation
- DynaTree: Dynamic Agentic Retrieval Tree for Time-Sensitive News RetrievalRetrieval-augmented generation → Agentic RAG, agents and memory +1
- HypoAgent: An Agentic Framework for Interactive Abductive Hypothesis Generation over Knowledge GraphsLLM reasoning → Reasoning benchmarks and evaluation +1
- Learning to Adapt: Self-Improving Web Agent via Cognitive-Aware ExplorationLLM agents and tool use → Web, search, and research agents +1
- Dreaming Of Others: Latent Teammate Modeling In World Models For Multi-Agent Reinforcement LearningWorld models → World models for language agents
- Diagnosing Failure Modes of Shared-State Collaboration in Resource-Constrained Visual AgentsLLM reasoning → Multimodal reasoning
- FBHM: Functional Benchmarking and Steering of VLMs for Hateful Meme DetectionMultimodal LLMs / vision-language models → Social bias and fairness in VLMs
- DecMem: Towards Minute-Long Consistent World Generation with Decoupled MemoryWorld models → Video-generation world models and simulators
- Reinforcement Learning Can Amplify Emergent Misalignment from Harmless RewardsDeep reinforcement learning methods → RL training of language and agent models
- Surface Constraint Policy for Learning Surface-Constrained and Dynamically Feasible Robot SkillsOffline RL and imitation learning from data → Robot learning from demonstration
- Forgetting Has Neighbors: Localized Collateral Forgetting in Machine UnlearningLLM safety and security → Machine unlearning
- AR Forcing: Towards Long-Horizon Robot Navigation World ModelWorld models → World models for navigation
- Learning from Fine-Grained Visual Discrepancies: Mitigating Multimodal Hallucinations via In-Context Visual Contrastive OptimizationMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs +1
- Model-free LQG Control with Chance ConstraintsDeep reinforcement learning methods → RL for games and combinatorial optimization
- Non-Asymptotic Convergence of Stochastic Iterative Algorithms: A Lyapunov FrameworkDeep reinforcement learning methods → RL theory and sample complexity
- MoE-dqINR: A Unified Mixture-of-Experts Implicit Neural Representation Framework for Scan-Specific Dynamic and Quantitative MRI ReconstructionMixture-of-experts → Medical and biomedical MoE
- Latent Space Disentanglement via Activation Steering for Interpretable Attribute Control in Symbolic Music GenerationMechanistic interpretability → Activation steering methods
- Divergence Decoding: Inference-Time Unlearning via Auxiliary ModelsLLM safety and security → Machine unlearning
- The Terminal Representation in Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- DeMaVLA: A Vision-Language-Action Foundation Model for Generalizable Deformable ManipulationVision-language-action models → 3D and spatial-aware VLA
- Industrializing Prediction-Powered Inference: The GLIDE Library for Reliable GenAI and Agentic Systems EvaluationLLM agents and tool use → General LLM agent frameworks and benchmarks
- Survival Reinforcement Learning: Toward Scalable Self-Supervised RLDeep reinforcement learning methods → Deep RL algorithms and representations
- DriveMA: Driving Vision-Language-Action Models with verifiable Meta-ActionsVision-language-action models → VLA for autonomous driving +1
- Mellum2 Technical ReportMixture-of-experts → MoE large language models
- COLLEAGUE.SKILL: Automated AI Skill Generation via Expert Knowledge DistillationLLM agents and tool use → Agent skill learning and evolution +1
- Why Linear Recurrent Memory Works in Partially Observable Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- Before Parc Ferm'e: RL-Time Pruning for Efficient Embodied LLMs in Autonomous DrivingLLM reasoning → Spatial and embodied reasoning +1
- ERGeoBench:A Comprehensive Benchmark for Embodied Reasoning and Geo-localization in Multimodal Large Language ModelsLLM reasoning → Spatial and embodied reasoning +1
- BadBone: Backdoor Attacks Against Backbone Models in Visual Prompt LearningLLM safety and security → Backdoor and data poisoning attacks
- Toward Identifiable Sparse AutoencodersMechanistic interpretability → Sparse autoencoder training and evaluation
- Scaling Multi-Hop Training Data via Graph-Constrained Path SelectionLLM reasoning → Knowledge- and tool-augmented reasoning
- HARP-VLA: Human-Robot Aligned Representation Learning for Vision-Language-Action ModelVision-language-action models → Human-video and latent-action pretraining
- Beyond Classification: Dynamic Adapter Routing for Continual Multimodal RetrievalMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- EchoRL: Reinforcement Learning via Rollout EchoingLLM reasoning → Reinforcement learning for reasoning +1
- Multivariate Distributional Reinforcement Learning Using Sliced DivergencesDeep reinforcement learning methods → RL theory and sample complexity
- Fixed-Point Masked Generative ModelingEfficient LLM inference and serving → Diffusion LLM and MoE inference
- Probabilistic Precipitation Nowcasting with Rectified Flow TransformersDiffusion models → Flow matching, time series and science
- Point-in-Time Financial RAG with Frozen LLMs and Market-Feedback Adaptive RetrievalRetrieval-augmented generation → Legal and financial RAG
- Probing Collision Grounding in Vision-Language Models for Safe Human-Robot CollaborationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Student Capacity Moderates Knowledge Distillation Effectiveness: A Systematic Study Across ResNet Teacher-Student Pairs on CIFAR-10Knowledge distillation → General knowledge distillation methods
- Steering LLMs? Actually, Sparse Autoencoders can outperform simple baselinesMechanistic interpretability → SAE features and their applications
- Retriever Portfolios: A Principled Approach to Adaptive RAGLLM reasoning → Knowledge- and tool-augmented reasoning +1
- Detect in Any Scene: An Agentic Framework for Object Detection with Experience-Aware ReasoningLLM reasoning → Multimodal reasoning +1
- Convergence of Two-Timescale Markovian Stochastic Approximations with Applications in Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
- Emergent Languages in Populations of Language Model Agents: From Token Efficiency to Oversight EvasionLLM agents and tool use → General LLM agent frameworks and benchmarks
- Guidance for Low-Level Perceptual Editing in Unconditional Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- Trust-Region Behavior Blending for On-Policy DistillationKnowledge distillation → On-policy and self-distillation for LLMs
- Light Interaction: Training-Free Inference Acceleration for Interactive Video World ModelsWorld models → Video-generation world models and simulators +1
- SpatialAct: Probing Spatial Reasoning-to-Action Capabilities of VLM Agents in 3D ScenesLLM reasoning → Spatial and embodied reasoning +1
- Not All Synthetic Data Is Yours to Learn FromLLM alignment / RLHF / preference optimisation → LLM preference optimization methods +2
- SWIM: Compact Environment Representation for Reinforcement Learning Human SwimmingDeep reinforcement learning methods → RL for robot navigation and UAV control
- Don't Fool Me Twice: Adapting to Adversity in the Wild with Experience-Driven ReasoningLLM reasoning → Spatial and embodied reasoning
- NTR: Neural Token Reconstruction for Scene Token Bottleneck in End-to-End DrivingEnd-to-end autonomous driving → VLMs for autonomous driving
- Subspace-Decomposed JEPAs: Disentangling Progression and Content in Latent World ModelsWorld models → Latent predictive world models
- Riemannian Diffusion Models on General Manifolds via Physics-Informed Neural NetworksDiffusion models → Diffusion foundations and sampling
- GRKV: Global Regression for Training-Free KV Cache Compression in Long-Context LLMsEfficient LLM inference and serving → KV cache optimization
- iVGR: Internalizing Visually Grounded Reasoning for MLLMs with Reinforcement LearningLLM reasoning → Multimodal reasoning +1
- A Pilot Study on Curator-Guided Multilingual Art Description for Blind and Low-Vision Audiences with Small Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Task-Focused Memorization for Multimodal AgentsLLM agents and tool use → Agent memory systems
- ConsisGuard: Aligning Safety Deliberation with Policy Enforcement in LLM GuardrailsLLM reasoning → Reasoning for agents, planning and code +1
- AdaptR1: Reinforcement Learning Based Adaptive Interleaved Thinking in Multi-hop Question AnsweringLLM reasoning → Knowledge- and tool-augmented reasoning +1
- LVSA: Training-Free Sparse Attention for Long Video DiffusionDiffusion models → Video generation
- The Challenges of Using Reinforcement Learning for Controlling Industrial Energy SystemsDeep reinforcement learning methods → RL for energy, networks and operations
- From Prompt Injection to Persistent Control: Defending Agentic Harness Against Trojan BackdoorsLLM agents and tool use → Agent threats, guardrails and governance +1
- Does Visual Information Play a Decisive Role in Vision-Language-Action Model Driving Behavior?Vision-language-action models → VLA for autonomous driving +1
- GraphARC: A Comprehensive Benchmark for Graph-Based Abstract ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning
- PEEK: Picking Essential frames via Efficient Knowledge distillationKnowledge distillation → Multimodal distillation
- MoG: Mixture of Experts for Graph-based Retrieval-Augmented GenerationRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG +1
- Graph-GRPO: Dependency-Aware Credit Assignment for Generative E-commerce Search RelevanceLLM reasoning → Knowledge- and tool-augmented reasoning
- Eigenvectors of Experts are Training-free Non-collapsing RoutersMixture-of-experts → Expert routing strategies
- Generating Reports or Repeating Templates? Measuring and Mitigating Template Collapse in 3D CT Report GenerationMultimodal LLMs / vision-language models → Medical vision-language models
- BiSegMamba: Efficient Bidirectional Tri-Oriented Mamba for 3D Medical Image SegmentationState-space sequence models (S4, Mamba) → Mamba for medical image analysis
- Variational Adapter for Cross-modal Similarity RepresentationMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- ImmersiveTTS: Environment-Aware Text-to-Speech with Multimodal Diffusion Transformer and Domain-Specific Representation AlignmentDiffusion models → Audio, speech and music
- RDGen: Demonstration Generation for High-Quality Robot Learning via Reinforcement LearningVision-language-action models → Reinforcement learning and post-training +1
- Extending AI for Research to the Humanities: A Multi-Agent Framework for Evidence-Grounded ScholarshipLLM agents and tool use → Web, search, and research agents
- Towards Streaming Synchronized Spatial Audio Generation via Autoregressive Diffusion TransformerDiffusion models → Audio, speech and music
- Do Large Language Models Encode Institutional Experience? Evidence from Cross-Linguistic Moral Reasoning Under AmbiguityLLM reasoning → Reasoning benchmarks and evaluation
- MineExplorer: Evaluating Open-World Exploration of MLLM Agents in MinecraftLLM agents and tool use → Reinforcement learning for LLM agents
- Enhancing Human-Likeness in Reinforcement Learning Agents via Hierarchical Macro Action QuantizationDeep reinforcement learning methods → RL training of language and agent models
- EMBGuard: Constructing Hazard-Aware Guardrails for Safe Planning in Embodied AgentsLLM agents and tool use → Agent threats, guardrails and governance +1
- De-attribute to Forget for LLM UnlearningLLM safety and security → Machine unlearning
- DiTTo: Scalable Order-aware All-in-One Image Restoration AgentMultimodal LLMs / vision-language models → Image editing and quality assessment +1
- Automating Formal Verification with Reinforcement Learning and Recursive InferenceDeep reinforcement learning methods → RL training of language and agent models
- Attend to Evidence: Evidence-Anchored Spatial Attention Supervision for Multimodal RLVRMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- What Makes LVLMs Hallucinate Less? Unveiling the Architectural Factors Behind Hallucination RobustnessMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- BlueFin: Benchmarking LLM Agents on Financial SpreadsheetsLLM agents and tool use → Financial trading and forecasting agents
- MergeTok: Unified Continuous and Discrete Visual Tokenization via Token MergingEfficient LLM inference and serving → Token pruning and merging for ViTs
- Inverse Reinforcement Learning without an Optimal Demonstrator: A Feasible Reward Set ApproachOffline RL and imitation learning from data → Inverse reinforcement learning +1
- BilliardPhys-Bench: Benchmarking Physical Reasoning and Visual Dynamics of Multimodal LLMsLLM reasoning → Spatial and embodied reasoning +1
- UniScale: Adaptive Unified Inference Scaling via Online Joint Optimization of Model Routing and Test-Time ScalingLLM reasoning → Test-time compute and efficient thinking
- Zero Collapse: A Failure Mode of Policy Gradient Methods in Discontinuous Reward EnvironmentsDeep reinforcement learning methods → Adversarial robustness and RL in finance
- MLIPilot: LLM-Driven Auto-Research for Machine-Learned Interatomic PotentialsLLM agents and tool use → Medical and scientific domain agents
- The Flip Side of RLHF: On-Policy Feedback for Reward Model Self-Supervised ImprovementLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- GUI-C2: Coarse-to-Fine GUI Grounding via Difficulty-Aware Reinforcement LearningLLM agents and tool use → GUI and mobile agents +1
- TRACE: Task-Aware Adaptive Self-Evolving Agentic JailbreakingLLM agents and tool use → Agent threats, guardrails and governance +1
- PatchWorld: Gradient-Free Optimization of Executable World Models for Agent EnvironmentsWorld models → World models for language agents +1
- Wall-OSS-0.5 Technical ReportVision-language-action models → Generalist VLA models and benchmarks
- dMoE: dLLMs with Learnable Block ExpertsMixture-of-experts → MoE large language models +1
- Federated Variational Preference Alignment with Gumbel-Softmax Prior for Personalized User PreferencesLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Sophrosyne: Agentic Exploration of Relational Data Systems Needs ModerationLLM agents and tool use → Web, search, and research agents
- Distilling LLM Feedback for Lean Theorem ProvingLLM reasoning → Mathematical reasoning +1
- ForecastCompass: Guiding Agentic Forecasting with Adaptive Factor MemoryLLM agents and tool use → Financial trading and forecasting agents
- Safe Equilibrium Policy Optimization for Strategic Agent PoliciesLLM agents and tool use → Reinforcement learning for LLM agents
- Speculative Pipeline Decoding: Higher-Accuracy Drafting with Hidden Latency via Pipeline ParallelismEfficient LLM inference and serving → Speculative decoding
- LLM Anonymization Against Agentic Re-IdentificationLLM agents and tool use → Agent threats, guardrails and governance
- A Lecture Note on Offline RL and IRL, Part II: Foundations of Inverse Reinforcement Learning and Dynamic Discrete Choice ModelsOffline RL and imitation learning from data → Inverse reinforcement learning
- CoMem: Context Management with A Decoupled Long-Context ModelLLM agents and tool use → Agent memory systems
- COMPASS: Cognitive MCTS-Guided Process Alignment for Safe Search AgentsLLM agents and tool use → Agent threats, guardrails and governance
- Send a SCOUT First: Pre-hoc Reasoning for Adaptive Detector Allocation in Prompt-Injection DefenseLLM reasoning → Reasoning for agents, planning and code
- Hide-and-Seek in Trajectories: Discovering Failure Signals for VLA Runtime MonitoringVision-language-action models → Failure recovery and robustness
- Your Teacher Can't Help You Here: Combating Supervision Fidelity Decay in On-Policy DistillationLLM reasoning → Prompting and chain-of-thought reasoning +1
- SLAT: Segment-Level Adaptive Trimming for Efficient CoT ReasoningLLM reasoning → Test-time compute and efficient thinking
- Unlearning in Diffusion Models: A Unified Framework with KL Divergence and Likelihood ConstraintsDiffusion models → Robustness, privacy and adversarial aspects +1
- Planner-Centric Reinforcement Learning for Deep Research with Structure-Aware RewardDeep reinforcement learning methods → RL training of language and agent models
- Differentially Private Preference Data Synthesis for Large Language Model AlignmentLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment +1
- Design and Evaluation of Multi-Agent AI Oracle Systems for Prediction Market ResolutionLLM agents and tool use → Financial trading and forecasting agents
- Feat2Go: Visual Feature-Grounded Value Estimation for Embodied Reinforcement LearningVision-language-action models → Reinforcement learning and post-training +2
- MechVQA: Benchmarking and Enhancing Multimodal LLMs on Comprehensive Mechanical Drawing UnderstandingMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- On the impact of retrieved content representations in RAG PipelinesRetrieval-augmented generation → RAG robustness and adaptive retrieval
- Smaller Models are Natural Explorers for Policy-Level Diversity in GRPOLLM reasoning → Reinforcement learning for reasoning
- Learning Agent-Compatible Context Management for Long-Horizon TasksLLM agents and tool use → Agent memory systems
- What Breaks When LLMs Code? Characterizing Operational Safety Failures of Agentic Code AssistantsLLM agents and tool use → Software engineering coding agents
- Efficient and Uncertainty-Aware Diffusion Framework for Offline-to-Online Reinforcement LearningDiffusion models → Diffusion and flow policies for robotics +1
- CameraNoise: Enabling Faithful Camera Control in Video Diffusion through Geometry-Flow-Guided Noise WarpingDiffusion models → Video generation
- Eywa: Provenance-Grounded Long-Term Memory for AI AgentsLLM agents and tool use → Agent memory systems
- Pairwise Reference Alignment as a Model-Level Ordinal ObservableLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Chain-of-Thought and Compressed Looped Transformers: A Memory-Budget SeparationLLM reasoning → Prompting and chain-of-thought reasoning
- Efficient Diffusion LLMs via Temporal-Spatial Parallel Decoding and Confidence ExtrapolationEfficient LLM inference and serving → Diffusion LLM and MoE inference
- FLAG: Flow Policy MaxEnt-RL by Latent Augmented GuidanceDeep reinforcement learning methods → RL with diffusion and flow models
- Immuno-VLM: Immunizing Large Vision-Language Models via Generative Semantic Antibodies for Open-World TrustworthinessMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- MAVEN: Improving Generalization in Agentic Tool CallingLLM agents and tool use → General LLM agent frameworks and benchmarks
- MosaicLeaks:Privacy Risks in Querying-in-the-Open for Deep Research AgentsLLM agents and tool use → Agent threats, guardrails and governance
- Skill is Not One-Size-Fits-All: Model-Aware Skill Alignment for LLM AgentsLLM agents and tool use → Agent skill learning and evolution
- Simple Token-Efficient Vision-Language Model for Case-level Pathology Synoptic Report GenerationMultimodal LLMs / vision-language models → Medical vision-language models
- Diversity Matters: Revisiting Test-Time Compute in Vision-Language ModelsLLM reasoning → Multimodal reasoning +1
- ExpGraph: Model-Agnostic Experience Learning with Graph-Structured Memory for LLM AgentsLLM agents and tool use → Agent memory systems
- SAGE: A Novelty Gate for Efficient Memory Evolution in Agentic LLMsLLM agents and tool use → Agent memory systems
- Equivariant Latent Alignment via Flow Matching under Group SymmetriesDiffusion models → Flow matching, time series and science
- Seeing Before Agreeing: Aligning Multi-Agent Consensus with Visual EvidenceMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning +1
- Primitive Subspaces Mediate Few-Shot Transfer in VLAsVision-language-action models → Generalist VLA models and benchmarks
- Universal Decision LearnersDeep reinforcement learning methods → Deep RL algorithms and representations
- Triaging Threats to Specialized GuardrailsLLM safety and security → Safety alignment, refusal and guardrails
- ElasticMem: Latent Memory as a Learnable Resource for LLM AgentsLLM agents and tool use → Agent memory systems
- Depth-Dependent Indirect Prompt Injection in Tool-Calling ReAct Agents: Injection Depth, Payload Framing, and Turn-Budget SensitivityLLM reasoning → Reasoning for agents, planning and code +2
- Investigating Detection and Obfuscation of Prompt Injection Attacks Against Software Reverse Engineering AI AgentsLLM agents and tool use → Agent threats, guardrails and governance +1
- Reinforcement Learning for Special Education: Aligning LLM Tutors to Diverse Learners through Disability-Adaptive TrainingLLM alignment / RLHF / preference optimisation → Process reward models for reasoning
- From Doyle to AGM: A Survey and an Implementation Roadmap for Belief Change
- Position: Reasoning is a Learnable Rule-Based Process
- When AI Is Your Pastor: A Benchmark for Theological Triage and Pastoral Guidance in Large Language Models
- Conflict or Strategy? Asymmetric Role Framing of La France insoumise and Rassemblement National in French News Headlines, 2022-2025
- Looks Right, Works Right: A Project-Level Benchmark for Multi-Screen Mobile App Generation
- Loss-Aware Feature-Map Pruning in Convolutional Neural Networks Using Multi-Armed Bandits
- Codifying the Judge: Scalable Evaluation via Program Distillation
- Beyond Liars' Bench: The Impact of Lie Typology, Depth, and Sparsity on Deception Detection in LLMs
- Office Comprehension Benchmark
- LLMs in the Real World: Evaluating "AI" in Emergency Contexts
- HyBIRD: Hyperbolic Bridge Retrieval and Diagnosis for Methodology Inspiration Retrieval
- AgentOdyssey: Open-Ended Long-Horizon Text Game Generation for Test-Time Continual Learning Agents
- ReviewGuard: Aligning LLM-Assisted Peer Review with Long-Term Scientific Impact
- EMORSION: Examining the Impact of Audio Parameters on Emotional Responses and Immersion in Film
- Physically Constrained Ensemble Gaussian Process Modelling for Expensive Quantum Systems with Heteroskedastic Noise
- Artificial Intelligence in Ship Finance: Applications, Opportunities, and a Case Study in AI-Augmented Loan Origination
- A2SG:Adaptive and Asymmetric Surrogate Gradients for Training Deep Spiking Neural Networks
- Few-Shot Resampling for Scalable Statistically-Sound Data Mining
- OSCS-SupCon: Orthogonal Sigmoid-based Common and Style Supervised Contrastive Learning for Robust Feature Disentanglement
- Every Act Has Its Price: Compressed Moral Composition in Frontier LLMs
- Item Response Scaling Laws: A Measurement Theory Approach for Efficient and Generalizable Neural Scaling Estimation
- Structured Neuron Pruning in Deep Neural Networks Using Multi-Armed Bandits
- Measuring Poverty and Inequality with Reduced Data: A Machine Learning Approach Using Nigerian Household Data
- Can You Trust What You See? Human and AI Detection of Synthetic Legal Evidence
- Position: Anthropomorphic Misalignment Research Needs Stronger Evidence
- MIRAGE: Metadata-Integrated Repository Analysis and Guided Enhancement for MSR Datasets
- Subtitle-Aligned Fine-Tuning of Whisper for Swiss German ASR: Benchmark Contamination, Convention Mismatch, and an Honest Baseline at 25.6% WER (13.8% cWER)
- Position: Genomic Model Research Must Move Beyond Anecdotal Evaluation of Interpretability Methods
- QDSP: An Interpretable Structured Learning Framework for Predicting Death or Cerebral Palsy in Very Low Birth Weight Infants
- Contribution Weights: A Geometrical Analysis of Self-Attention Transformers
- LFNO: Bridging Laplace and Fourier via Transient-Steady Decomposition
- Reachability and asymptotics of Gaussian Transformer dynamics
- DiffoR: A Unified Continuous Generative Framework for Universal Ordinal Regression
- A Topological Characterization of Graph Neural Networks via Stochastic Block Model Embeddings on the n-Sphere
- Repetition Mismatch: Why Data Mixture Experiments Don't Scale and How to Fix Them
- Shortcuts in the Tail: Debiasing via Post-Hoc Spectral Compression of Fine-Tuning Updates
- Gradient Descent with Large Step Size Restores Symmetry in Deep Linear Networks with Multi-Pathway
- The Variance Brain Foundation Models Forgot: Third-Order Statistics Predict Cognition Where Billion-Parameter Models Fail
- Counterfactual Explanations for Deep Two-Sample Testing
- Neural Radiated-Noise Fields for Unmanned Underwater Vehicle Noise Spectrum Prediction in Three-Dimensional Scenes
- The Shape of Addition: Geometric Structures of Arithmetic in Large Language Models
- Spatial Transcriptomics-Guided Alignment Enhances Molecular Profiling in Pathology Foundation Model
- DXA-Derived Skeletal Phenotypes and Hip Fracture Risk: A Backdoor-Adjusted Causal Analysis
- Oscillatory State-Space Models as Inductive Biases for Physics-Informed Neural PDE Solvers
- Ego-METAS: Egocentric online Multimodal Energy-efficient Temporal Action Segmentation benchmark
- Weighted Conformal Clustering
- Variance-sensitive Thompson sampling for generalised linear bandits, revisited
- Finer Parameter Steps for Low-Rank PEFT: A Controlled Study with CP Tensor Adapters
- Canonicalized Stable-List Replay for Private Federated Continual Learning over Language-Model Embeddings
- Empirical Likelihood with Generative AI
- Weak Critics Make Strong Learners: On-Policy Critique Distillation for Scalable Oversight
- UniPinRec: Unifying Generative Retrieval and Ranking at Pinterest Scale
- Parameter-Free and Group Conditional Online Conformal Prediction
- 4D Radar Meets LiDAR and Camera: Cooperative Perception under Adverse Weather
- Auditing Near-Optimal Policies Can Be Exponentially Hard: Conditional Query Lower Bounds via Occupancy Rashomon Capacity
- Riemannian Stochastic Optimization for Sufficient Dimension Reduction
- Masking Stale Observations Helps Search Agents -- Until It Doesn't: A Regime Map and Its Mechanism
- Rethinking Amortized Neural Representations for High-Resolution Terrain Elevation Data
- A Distribution-Free Framework for Rewrite-Based Human-text Detection via Knockoff Filtering
- Data-Driven Spectral Prediction for Accelerating Large-Scale Electronic Structure Calculations
- Dynamic Proxy-Mixing: Transferring Replay Controllers from Small to Large Models for Continual Instruction Tuning
- AutoIQ: An Ensemble Framework for Automatic Assessment of Geometric Distortion in Prostate Diffusion-Weighted Imaging
- Detector-Evasive LLM Paraphrasing via Constrained Policy Optimization
- αDepth: Learning Single-Pass Soft Boundary Decomposition for Stereo Conversion
- Behavior Cloning of MPC for 3-DOF Robotic Manipulators
- CRMA: A Spectrally-Bounded Backbone for Modular Continual Fine-Tuning of LLMs
- Non-Learning Low-Light Stereo Vision
- How Much Orthogonalization Does Muon Need?
- HiGS: A Hierarchical Rendering Architecture for Real-Time 3D Gaussian Splatting
- UniVerse: A Unified Modulation Framework for Segmentation-Free,Disentangled Multi-Concept Personalization
- Longitudinal Multimodal Sensing of Physical Activity and Well-Being in Older Adults
- The role of class encoding in neural collapse
- Polar Depth for Potentially Heavy-Tailed Data
- PE-means: Improved Differentially Private k-means Clustering through Private Evolution
- ROGUE: Evaluating Corrigibility Failures in Frontier Computer-Use Agents
- Balancing Learning Rates Across Layers: Exact Two-Step Dynamics and Optimal Scaling in Linear Neural Networks
- CHAM-net: A Contrastive Hierarchical Adaptive Meta-network for Robust Global Methane Flux Prediction
- Which Institutional Frameworks Do Chatbots Assume? Auditing Jurisdictional Defaults in Multilingual LLMs
- Benchmarking Recursive-Collapse Warning Claims Under Matched False-Positive Control
- KG-Guard: Graph-Based Hallucination Detection for Knowledge Base Question Answering
- Cluster Analysis with Resampling for Validation and Exploration (CARVE)
- Perturbative methods for non-parametric instrumental variable
- Training-Free Object-Agnostic Jam Detection in Fulfillment Centers
- Adversarially Robust Control of Conditional Value-at-Risk via Rockafellar-Uryasev Conformal Inference
- Belief Consistency Between Foundation-Model Evidence and Geometric Perception in Persistent Robotic Maps
- Coupling Language Models with Physics-based Simulation for Synthesis of Inorganic Materials
- Stochastic Rounding Increases Small Singular Values
- Where to Refine, When to Stop: Rethinking Redundancy via Latent Discrepancy for Efficient Visual Autoregressive Generation
- Large-scale Uncertainty Quantification for Latent Variable Models Using Subsampling Markov Chain Monte Carlo
- Modeling Spectral Energy Shifts in Spatio-Temporal Graph Anomaly Detection
- ERICA: Quantifying Replicability of Cluster Analysis
- FLaG: Fine-Grained Latent Grouping for Hallucination Detection
- Symmetric Hermite quadrature-based balanced truncation for learning linear dynamical systems from derivative data
- Is Zero-Shot Super-Resolution Possible in Operator Learning?
- Uncovering Temporal Framing in the News
- Accurate Large-sample Uncertainty Quantification using Stochastic Gradient Markov Chain Monte Carlo
- Inner Product Aware Quantization: Provably Fast, Accurate, and Adaptive Algorithms
- Model-Native Computing Architecture: Envisioning Future System Architecture Through the Lens of Computer Architecture
- Model-Based Quality Assessment for Massively Multilingual Parallel Data
- Specializing Without Forgetting: Analyzing Knowledge Preservation in Multilingual Model Adaptation
- Bit-Exact AI Inference Verification Without Performance Tradeoffs
- Evaluating Bivariate Causal Statements Based on Mutual Compatibility
- On Wednesdays, We Ask Questions: Optimizing "Active Listening" in Automated Legal Triage and Referral
- KISS: Keeping it Simple and Slotted when Learning to Communicate over Wireless
- Out-of-Distribution generalization of quantile regression with heavy tailed inputs: an SVM approach
- ReFLEX: Length-Generalizable CSI Denoising for MIMO-OFDM via Relative-Frequency Bias
- When Softmax Fails at the Top: Extreme Value Corrections for InfoNCE
- The Harsh Truth: Segment-Level Analysis of Harsh Driving Events in Milan Using Large-Scale Telematics, Street Networks, and Google Street View
- LastAct: Trajectory-Guided Latest-Activity Localization for Real-Time Smart-Home Activity Recognition
- ARCA: Adapter-Residual Credit Assignment When Token Signals Degenerate
- HOIST: Humanoid Optimization with Imitation and Sample-efficient Tuning for Manipulating Suspended Loads
- Capability Self-Assessment in Large Language Models
- Effects of Varying LLM Access on Essay Writing Behavior
- Dynamics and Representation Structure of Local Approximations to Gradient-Based Learning in Linear Recurrent Neural Networks
- InfoAtlas: A Foundation Model for Zero-Shot Statistical Dependence Estimate
- Civilizational Metamaterials: Engineering Coordination Under Capability Gradients and Structural Turbulence
- Self-Correction Can Amplify Hallucinations: Fact-Level Repair with Graph-Based Evidence Routing in Multimodal Generation
- A Pre-Training Analogue of Grokking in Language Models: Tracing Delayed Grammatical Generalization
- SEMBridge: Tagless-Final Program Semantics with Weakest-Precondition and Bounded-Checking Interpretations
- 21cmEMUv3: a hybrid diffusion-LSTM emulator of 21cmFAST summary observables
- DeSQ: Decomposition-based SPARQL Query Generation
- From Rashomon Theory to PRAXIS: Efficient Decision Tree Rashomon Sets
- BOUTEF: A Multilingual Corpus for FakeNews in North Africa -- Language as a Weapon
- PaintBench: Deterministic Evaluation of Precise Visual Editing
- AI-Guided Design and Optimization of Graphite-Based Anodes via Iterative Experimental Feedback
- The New Social Image: How AI Competency and AI Proactivity Influence Self- and Peer-Perceptions in the Workplace
- Beyond Augmentation: Score-Guided Pathological Prior for EEG-based Depression Detection
- MyoSem: Aligning Electromyography with Natural-Language Action Semantics
- UF-AMA: A unified framework for cross-domain emotion recognition via adaptive multimodal alignment
- ChurnNet: A Optimized Modern AI for Churn Prediction
- RealityTest: How People Probe AI Identity and Whether Models Disclose It
- Modeling Robotics Dataset Construction as an Artifact-Based Build Process
- Improving IoT Intrusion Detection Through SMOTE-Based Oversampling and Extended Multi-Model Evaluation on Side-Channel Power Data
- DataShield: Safety-degrading Data Filtering for LLM Benign Instruction Fine-Tuning
- Digital-to-Physical Transfer of Adversarial Patches for Aerial Vehicle Detection
- Training-Free Continuous Bitrate Control for Scalable Image Coding for Humans and Machines
- Interpreting FCDNNs via RG on Exponential Family
- A physics-informed foundation model for quantitative diffusion MRI
- A Protocol-Language Model for Network Intrusion (Without Deep Packet Inspection)
- RAFT: Data Refinement and Adaptive Distillation for Domain Fine-Tuning with Alleviated Forgetting
- Multi-Contrast MRI Motion Correction via Parameter-Informed Disentanglement and Adaptive Experts
- Completion at the Boundary (CaB): Deployable Switching with Completion-Aware Control under Limited Calibration
- Regime-Adaptive Continual Learning for Portfolio Management
- Adaptive data selection improves wearable prediction under low baseline performance
- Representation Forcing for Bottleneck-Free Unified Multimodal Models
- Lumos-Nexus: Efficient Frequency Bridging with Homogeneous Latent Space for Video Unified Models
- SOCO: Benchmarking Semantic Object Correspondence in Vision Foundation Models
- Learning Global Motion with Compact Gaussians for Feed-Forward 4D Reconstruction
- A Tight Theory of Error Feedback Algorithms in Distributed Optimization
- CoFiDA-M: Concept-Aware Feature Modulation for Cross-Domain Adaptation with Image-Only Inference
- Recognizing Co-Speech Gestures in-the-Wild
- Language Models Learn Constructional Semantics, Not To Mention Syntax: Investigating LM Understanding of Paired-Focus Constructions
- Choosing the Lens: Strategic Perspective Activation in Context-Dependent Argumentation
- Giving Sensors a Voice: Multimodal JEPA for Semantic Time-Series Embeddings
- SurGe: Improved Surface Geometry in Point Maps
- Joint Multi-Camera LiDAR Extrinsic Calibration via Learned Pairwise Initialization and Geometric Refinement
- SPECTRA: Synthetic IR Test Collections with Relevance Oracles and Controlled Distractor Diagnostics
- Disagreeing Rationales: Rethinking Classification and Explainability Evaluation in Hate Speech Detection
- Effective Biological Representation Learning by Masking Gene Expression
- Functional Attention: From Pairwise Affinities to Functional Correspondences
- Positional versus Symbolic Attention Heads: Learning Dynamics, RoPE Geometry, and Length Generalization
- SMART: SMPLest-X Mesh Adaptation and RAFT Tracking for Soccer Pose Estimation
- Semantic Triplet Restoration: A Novel Protocol for Hierarchical Table Understanding in Large Language Models
- The Dynamic-Probabilistic Consistency Gap in Chaotic Surrogate Modeling
- Automated Prediction of Postoperative Pancreatic Fistula Using Preoperative Computed Tomography
- RayDer: Scalable Self-Supervised Novel View Synthesis from Real-World Video
- Feature-Optimized Vision for Adaptive 3D Scene Reconstruction
- Discovering Thermodynamically Admissible Dissipation Potentials via Grammar-Based Symbolic Regression
- Value Functions as Supermartingale Certificates
- Chem-PerturBridge: a harmonized compendium of small molecule perturbation transcriptomic effects
- UniAudio-Token: Empowering Semantic Speech Tokenizers with General Audio Perception
- Separating Secrets from Placeholders: A Hybrid CNN-CodeBERT Framework for Three-Class Credential Leakage Detection
- Reliable Multilingual Orthopedic Decision Support from Clinical Narratives: Language-Aware Adaptation and Verification-Guided Deferral
- Internalizing Temporal Consistency in Video Object-Centric Learning without Explicit Regularization
- When Are Multimodal Predictions Biologically Supported? A Diagnostic Evaluation Framework
- How can embedding models bind concepts?
- On Efficient Scaling of GNNs via IO-Aware Layers Implementations
- Scalable Inference-Time Annealing with Surrogate Likelihood Estimators
- Assign and Add: A Mechanistic Study of Compositional Arithmetic
- Consolidating Rewarded Perturbations for LLM Post-Training
- Enhancing Computer Vision Model Generalization in Warehouse Facilities: A Case Study on Anomaly Detection in Vertical Material Handling Systems
- Graphical einops: bridging tensor networks and computation graphs
- Balanced LoRA: Removing Parameter Invariance to Accelerate Convergence
- BenHalluEval: A Multi-Task Hallucination Evaluation Framework for Large Language Models on Bengali
- Language Models Can Resolve Reference Compositionally, But It's Not Their Native Strength: The Case of the Personal Relation Task
- Knowledge boundary probing and demand-guided intervention for LLM-based power system code generation
- Scaling Conversational Hungarian ASR: The BEA-Dialogue+ Corpus
- DRIFT: Decoupled Rollouts and Importance-Weighted Fine-Tuning for Efficient Multi-Turn Optimization
- Translation Analytics for Freelancers II: Benchmarking Local LLMs for Confidential Translation Workflows
- Modeling Covariate Transition for Efficient Estimation of Longitudinal Treatment Effects in Randomized Experiments
- Flow map learning in nonlinear vector autoregressive models: influence of the feature-library structure on the training error
- Astra: a generalizable report generation foundation model for 3D computed tomography
- DOA: Training-Free Decoder-Only Attention Policy for Long-Form Simultaneous Translation with SpeechLLMs
- DG-CoLearn: An Efficient Collaborative Learning Framework for Dynamic Graphs
- Self-Tuning Regularization for Image Scanning Microscopy
- Fixed Universal Transformers
- Neuro-symbolic Syntactic Parsing: Shaping a Neural Network with the CYK Algorithm
- Triangle Splatting SLAM
- Improved Guarantees for Langevin Monte Carlo with Average Smoothness
- FSM-Net: An Efficient Frequency-Spatial Network for Real-World Deblurring
- Target-Side Paraphrase Augmentation for Sign Language Translation with Large Language Models
- Deep-learning-based low-energy trigger algorithms for the Hyper-Kamiokande experiment
- LLM Judges Inconsistently Disagree Across Safety Criteria and Harm Categories
- LiftNav: Path Planning via Semantic Lifting in TSDF-Guided Gaussian Splatting
- Scaling Higher-Order Graph Learning with Maximal Clique Complexes
- Softsign: Smooth Sign in Your Optimizer For Better Parameter Heterogeneity Handling
- A Unifying View of Variational Generative Wasserstein Flows
- Trading Complexity for Expressivity Through Structured Generalized Linear Token Mixing
- The Latin Substrate: How Language Models Represent and Mediate Script Choice
- dashi: A Python library for Dataset Shift Characterization to Support Trustworthy AI Development and Deployment
- VIABLE: A Visually Impaired Assistance Benchmark for VLM-as-a-Judge Evaluation
- Wall-Clock Complexity for Zeroth-Order Optimization with Tunable Oracle Fidelity
- Log-Ratio Propagation on the Simplex: A Theory of Cellwise Contamination for Compositional Data
- Appropriateness of Empathy in AI: A Signal-Cost Perspective
- Bundesrecht: An Open Library and Corpus for German Statutory Reference Processing
- Social welfare optimisation under institutional reward and punishment
- Inconsistency-Aware Minimization: Improving Generalization with Unlabeled Data
- Generalized Intention Modeling in Multi-Agent Reinforcement Learning
- Graph Neural Networks Are Not Continuous Across Graph Resolutions
- S3LDBO: A Snapshot Single-Loop Algorithm for Decentralized Bilevel Optimization
- TraceGraph: Shared Decision Landscapes for Diagnosing and Improving Agent Trajectories
- Interpretability Without Tradeoffs: Disentangling Polysemanticity At Equal Predictive Performance
- mRNAutilus: Multi-Objective-Guided Discrete Generation of mRNA with Optimized Therapeutic Properties
- TokTalk: Expressive Real-time Facial Animation from Audio-LLM Tokens
- Authentication of Copy Detection Patterns via Cross-Camera Dual-Synthetic Referencing
- Contextual Scalarisation Thompson Sampling for multi-objective decisions in public media
- Neither Replacement nor Panacea: Comparing LLM-Based Conversational and Graphical Decision Support in Industrial Tasks
- SAM for Robust Mitochondria Instance Segmentation in Fluorescence Microscopy
- Topologically Consistent Multi-view 3D Head Reconstruction via Coarse-Guided Layered Surface Sampling
- Wind Turbine Maintenance Log Labelling Framework: LLM-Driven Data Correction and Enrichment via Semantic Extraction of Reliability Intelligence
- Practical Cross-Band Channel Prediction for AI-RAN via Physics-Guided Deep Unfolding
- GETA: Generalized Encrypted Traffic Analysis
- Learning Parametric Nitrogen Fertilizer Response Curves Using Neuro Symbolic Regression
- Personalized to Persuade: The Effects of Contextualization and Warmth on Trust and Reliance in Conversational AI
- Algorithmic Recourse of In-Context Learning for Tabular Data
- Envisioning Beyond the Few: Disentangled Semantics and Primitives for Few-Shot Atypical Layout-to-Image Generation
- Lightweight CNN-Based Anomaly Detection for High Voltage Converter Modulators in the Spallation Neutron Source
- Fraud Type Decomposition and the Observation-Mechanism Taxonomy:Class-Specific Detection Limits in Payment Networks
- Formalizing and falsifying causal pathways of rare events
- Entropic Projection Alignment: Estimating, Explaining, and Improving Model Performance Under Distribution Shift
- LVCG: Learning ECG Representations in the Latent Vectorcardiogram Space
- Spectral Reach: Understanding Neural Scaling as Progress into the Spectral Tail
- Bifurcated Remaining Useful Life Prediction: A Hybrid Approach for Realistic Uncertainty Characterization
- Correcting Split Selection in Online Decision Trees via Anytime-Valid Inference
- A holomorphic neural network framework for 3D boundary value problems governed by harmonic potentials
- HiERO-StepG @ Ego4D Step Grounding Challenge: hierarchical activity understanding enables zero-shot step grounding
- What changes after deployment? A survey on On-device Learning in TinyML
- Comparing LLM-Based Conversational and Graphical Interfaces for Industrial Decision Tasks: An Exploratory Mixed-Methods Study
- Shared Doubt: Zero-Shot Cross-Lingual Confidence Estimation for Language Models
- Latent Geometric Chords for Query-Efficient Decision-Based Adversarial Attacks
- TALON: Token-Aligned Lightweight Adapters for 6-DoF Spacecraft Pose Estimation
- Benchmarking and Enhancing Text-to-Image Models for Generating Visual Representations in Early Arithmetic Education
- Simulation of collision avoidance behavior in crowd movement by data-driven approach
- Beyond Additive Decompositions: Interpretability Through Separability
- MAECO-Lite: Modular Ontology for Dynamic Malware Analysis
- Geometry-based Schr"odinger Bridges for Trustworthy Multimodal Fusion
- Specialist-Generalist Fusion with Outcome-Supervised Rationales for Deepfake Detection
- FlagGAM: Rule-Basis Generalized Additive Models for Explainable Tabular Prediction
- From Local Geometry to Global Pseudo Labeling for Robust Positive Unlabeled Learning under Covariate Shift
- How well does Classification Accuracy capture Concept Drift Detection Quality? An overview of Concept Drift Detection evaluation
- On public and private binary classification with metric space valued predictors
- Vanilla ViT for Automotive Point Cloud Semantic Segmentation
- Towards Efficient LLMs Annealing with Principled Sample Selection
- MindVoice: Reconstructing Intelligible Speech from Non-invasive Neural Signals with Pretrained Priors
- MIMO: Multilingual Information Retrieval via Monolingual Objectives
- LLM-FACETS: A Privacy-Preserving Framework for Evaluating LLM Transparency and Accountability
- D3: Dynamic Directional Graph-Constrained Data Scheduling for LLM Training
- Memory by Design: Bayesian Layers for Sequence Modeling
- TabCausal: Pretraining Across Causal Environments for Tabular Causal Discovery
- Learning Hyperspherical Time-Frequency Representations for Time-Series Out-of-Distribution Detection
- BIAS-ID: A Framework for Analyzing Transformation Biases in AI-Generated Image Detectors
- Approximation and learning of anisotropic and mixed smooth functions by deep ReLU neural networks
- Developing a UXR Point of View for Cognitive Accessibility in Mobile Learning with Generative AI
- Developing a Culturally Grounded, AI-Augmented UX Research Point of View (POV): An Exemplar Case Study from Telemedicine Dementia Care
- From Evidence to Design: Developing an AI-Augmented UX Research Point of View for Digital Wellbeing in Emergency and Public Safety Contexts
- FOCUS: Forcing In-Context Object Localization through Visual Support Constraints and Policy Optimization
- Extending the UXR Point of View Pyramid: A Generative AI-Augmented Methodology for Human-Centred AI Systems
- On the Robustness of Multilingual Text Embedding Rankings Across Learning Tasks, Languages, and Benchmark Datasets
- EvoDefense: Co-Evolving Black-Box Defense with Large Language Models
- Developing an AI-Powered UX Research Point of View for Digital Health in A Regulatory Context: An Exemplar Case from MSM and Transgender HIV Care in Nigeria
- PolSAR Image Classification using a Hybrid Complex-Valued Network (HybridCVNet)
- Multilingual and Cross-Lingual Citation Needed Detection on Wikipedia for Lower-Resource Languages
- UXR PoV for Neuroinclusive Emotion Regulation
- Generalizing Multi-Scale Time-Series Modeling with a Single Operator
- Scalable Bayesian Inference for Nonlinear Conservation Laws
- QVGGT: Post-Training Quantized Visual Geometry Grounded Transformer
- TARIC: Memory-Augmented Traversability-Aware Outdoor VLN under Interrupted Semantic Cues
- Polyphony: Diffusion-based Dual-Hand Action Segmentation with Alternating Vision Transformer and Semantic Conditioning
- TSM-Bench: Detecting LLM-Generated Text in Real-World Wikipedia Editing Practices
- Remembering by Reconstructing: Domain Incremental Learning With Test-Time Training on Video Streams
- Model-Agnostic Signal Discovery with Machine Learning: Bridging the Gap Between Theory and Practice
- Vector Linking via Cross-Model Local Isometric Consistency
- KnowledgeGain: Evaluating and Optimizing Science News Generation for Reader Learning
- SpecDB: LLM-Generated Customized Databases via Feature-Oriented Decomposition
- Redefining Instance Matching: A Unified Framework for Part-Aware Matching in Panoptic Segmentation Evaluation
- Cross-Modal Clinical Knowledge Integration for Mammography Report Generation
- On Revisiting Entropy for Identifying Mislabeled Images
- On couplings for kinetic Langevin diffusions
- Beyond Static Dialogues: Benchmarking Realistic, Heterogeneous, and Evolving Long-Term Memory
- Forecasting threshold exceedance of atmospheric variables at a specific location
- Learning to Bid in FCR Markets: A Best-of-Both-Worlds Approach
- Towards Effective Long-Video Event Prediction via Multi-Level Event Semantics Mining
- HQ-JEPA: Hybrid Quantum Joint-Embedding Predictive Architecture for Cross-Modal Remote Sensing Representation Learning
- DRIFT: Joint Channel Estimation and Prediction Towards Pilotless 6G Non-Terrestrial Networks
- Fighting Numerical Hallucinations via Data-centric Compilation for Online Financial QA
- Free energy Estimation on Any State Space
- STEP: Learning STructured Embeddings for Progressive Time Series
- Combinatorial Synthesis: Scaling Code RLVR via Atomic Decomposition and Recombination
- How Much Do LLMs Know About Chinese Zero Pronouns?
- AnchorSteer: Self-Discovered Concept Injection for Structure-Preserving Music Editing
- Linear Ordering Problem: Time for a Change
- Trajectory-Aware Best-Arm Identification for Local Search Allocation in Bayesian Optimization and Beyond
- Learning to Solve and Optimize by Evolving Code
- Rethinking Efficient Crack Segmentation with Task-Aligned Structural-Directional Modeling
- Escaping the Capacity Ceiling: Routing on the Stiefel Manifold for Bilinear SPD Layers
- UniRTL: Unifying Code and Graph for Robust RTL Representation Learning
- GGT-100K: Generative Ground Truth for Generalizable Real-World Image Restoration
- Model Monotonicity in Autobidding Auctions: When Do Better Predictions Lead to Better Outcomes?
- Annealed Softmax Greedy in Many-Armed Bayesian Bandits
- SlotMemory: Object-Centric KV Memory for Streaming Long-Video Generation
- Multi-Scale Separable Fourier Neural Networks for Solving High-Frequency PDEs
- TRACE: Discovering Task-Specific Parameter via Adaptation-Aware Probing for Continual Fine-Tuning
- HADT: A Heterogeneous Multi-Agent Differential Transformer for Autonomous Earth Observation Satellite Cluster
- Augmented Lagrangian Predictive Coding
- A Persona-Based Evaluation Framework for Pluralistic Alignment in Generative AI
- An Efficient and Scalable Graph Condensation with Structure-Preserving
- SDM-Q: Cost-Aware Staged Decision-Making for Multi-Omics Classification with Deep Q-Learning
- Physics-Informed Coarsening for Multigrid Graph Neural Surrogates
- DEM: A Distilled Explanation Model for Interpretable Anomaly Detection in Physiological Sensor Networks
- Learning Multi-Agent Coordination via Sheaf-ADMM
- Iterative Framework For Data Augmentation Of Segmented Fingerprints
- HetCCL: Enabling Collective Communication For Mixed-Vendor Heterogeneous Clusters
- Hedging on the Frontier: Learning New Tasks with Few Samples
- Traceable by Design: An LLM Pipeline and Dashboard for EU Regulatory Consultation Analysis
- Parallel Tempering Initial Sampling in Inference-Time Reward Alignment
- Benchmarking Single-Step Inpainting Methods for Multi-Object 3D Gaussian Splatting Scenes
- Can BEV Perception Gracefully Degrade under Sensor Failures?
- Cognitive Fatigue in Autoregressive Transformers: Formalization and Measurement
- Batched Stochastic Linear Bandits with 1-Bit Communication Constraints
- Omni-Supervised Motion Editing: Balancing Change and Invariance through Positive-Negative Learning
- Reading Between the Citations: A Typed Claim Network for Scientific Literature
- AMix-2: Establishing Protein as a Native Modality in Large Language Models
- EvoGens: A Population-Based Heuristic Search Framework for Scientific Idea Generation
- Revisiting Zeroth-Order Hessian Approximation: A Single-Step Policy Optimization Lens
- Spectral Anatomy of Quantum Gaussian Process Kernels
- Inspectable Neural Markov Models for Non-Stationary Time Series
- PRISM: Progressive Reasoning through Iterative Slot Memory for Vision
- IAF-Net: Illumination-Adaptive Fusion for Low-Light Urban Road Segmentation
- Local linear convergence of gradient methods for overparameterized Gaussian mixtures
- TUX: Measuring Human--AI Tacit Understanding
- MultiAct: Text-to-Motion Generation from Composite Text via Tailored Attention Guidance
- Unsupervised Diffusion Solver for Combinatorial Optimization via Combinatorial Adjoint Matching
- Inference-Free Multimodal Learned Sparse Retrieval for Production-Scale Visual Document Search
- Welfare, Improvability, and Variance: A Principal-Agent Approach to Optimal Benchmark Item Aggregation
- Toxic HallucinAItions: Perturbing Prompts and Tracing LLM Circuits
- PINNs Failure Modes are Overfitting
- A Unifying View of Anchoring via Operator-Side Tikhonov Regularization
- Density-Guided Robust Counterfactual Explanations on Tabular Data under Model Multiplicity
- A Unified and Reproducible Experimentation Framework for Speech Understanding
- SteerFace: Debiasing Synthetic Face Generation via Adaptive Residue Perturbation
- Foundation VAEs for 3D CT Reconstruction, Augmentation, and Generation
- Bandwidth Allocation with Device Partitioning for Federated Learning over Industrial IoT networks
- Generative Quantum Data Embeddings for Supervised Learning
- GlucoFM: A Dual-Stream Foundation Model for Continuous Glucose Monitoring
- DSD-GS: Dynamic-Static Decomposition of Gaussian Splatting for Efficient and High-Fidelity Dynamic Scene Reconstruction
- Bayesian Inference with Shaped Deep Non-linear MLPs
- DARTS: Distribution-Aware Active Rollout Trajectory Shaping for Accelerating LLM Reinforcement Learning
- MADS: Model-Aware Diverse Core Set Selection for Instruction Tuning
- Robust Dreamer: Deviation-Aware Latent Gaussian Memory for Action-Controlled AR Video Generation
- Count Anything
- Fine-Tuning Improves Information Conveyance in Language Models
- Cross-Layer Subspace Coupling for LLM Compression: A Unifying Framework and Its Empirical Limits
- The Geometry of Activity Cliffs: Representation Dependence and Multi-Scale Characterization of Activity Landscapes
- LegSegNet: A Public Deep Learning System for Lower Extremity CT Tissue Segmentation and Quantification
- Beyond Agreement: Scoring Panel-Surfaced Biomedical Entity Candidates for Curator Triage
- Function2Scene: 3D Indoor Scene Layout from Functional Specifications
- GaMi: Geometry-Agnostic Material Identification via Cross-Modal Subtractive Disentanglement
- Incremental BPE Tokenization
- Learning Permutation-invariant Macroscopic Dynamics
- Non-destructive Identification of Oyster Species is possible from Hyperspectral Images with Machine Learning
- IRIS: time-structured manifold projections
- Conformal Reliability: A New Evaluation Metric for Conditional Generation
- Anchoring LLM Gender Bias to Human Baselines: A Cross-Lingual Audit
- PReMISE: Policy Rubrics as Measurement Specifications for LLM Judges
- OpenSTBench: Beyond Semantic Evaluation for Speech Translation
- XLGoBench: Detecting cross-lingual skill gaps with algorithmic tasks
- AbstainGNN: Teaching Graph Neural Networks to Abstain for Graph Classification
- Text-guided Feature Disentanglement for Cross-modal Gait Recognition
- Bayesian Classification with Probit-link Split-and-merge Gaussian Process Prior in EEG-based Brain-Computer Interfaces
- DisPlace: Discriminative Place Projections for Multi-Reference Visual Place Recognition
- SLAP: The Semantic Least Action Principle for Variational Video-Language Modeling
- Chatterbox-Flash: Prior-Calibrated Block Diffusion for Streaming Zero-Shot TTS
- Generating Graph-Like Logical Rules for Knowledge Graph Reasoning via Diffusion Models
- A Padding Method for Enhanced Encoding of Inorganic Structures with Varying Chemical Compositions
- Annotations Are Not All You Need: A Cross-modal Knowledge Transfer Network for Unsupervised Temporal Sentence Grounding
- Is the Last Layer Sufficient for Uncertainty Quantification?
- GSAM: A Generalizable and Safe Robotic Framework for Articulated Object Manipulation
- OrcaRouter: A Production-Oriented LLM Router with Hybrid Offline-Online Learning
- Beyond Accuracy: Evaluating Efficiency, Robustness and Explainability in Deep Learning for Malaria Diagnosis
- SemStruct: Contextualizing Semantic Embeddings with Structural Information for Schema Matching
- Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended
- Self-Certifying Transport MCMC via Dual Spectral-Gap Certificates
- Kalimati Vegetable Price Index Forecasting with a Momentum Corrected Online Stacking Ensemble
- When are LLMs Sufficient Policy Optimizers for Sequential RL Tasks?
- Moment-Based Inference for Regression with Latent Dirichlet Covariates
- Neuron-Level Interventions for Gendered and Gender-Neutral Generation in Language Models
- Vision-Based Localization in Dense Urban Environments: A Case Study of an Urban Village in China
- Mathematical Morphology in Machine Learning
- A Context-Aware Middleware for Medical Image Based Reports: An approach based on image feature extraction and association rules
- ConTrans: Learning Text-enhanced Local-global Temporal Representations for Zero-shot Temporal Action Localization
- How Early Adopters Used Generative AI Worldwide: Variation by Country Income and Language
- Healthcare Mechanisms from Policy-as-Code Search under Strategic Provider Response
- Human-Alignment, Calibration, and Activation Patterns in Large Language Model Uncertainty
- TeachObs: A Human-Validated Benchmark for Multimodal Teaching Observation and Model Evaluation
- WristCompass: Kinematic Coupling as a Learnable Visual Concept for Ego-Camera Orientation
- CobSeg: Coherence Boundary Modeling for Dialogue Topic Segmentation