Papers
Wed 27 May 2026
686 papers
- Woodpecker Distillation: Weak Models Diagnose Reasoning Bugs in Strong ModelsLLM reasoning → Test-time compute and efficient thinking
- DocArena: Turning Raw Documents into Controllable Training Environments for Document Search AgentsLLM agents and tool use → Web, search, and research agents
- Dynamic-dLLM: Dynamic Cache-Budget and Adaptive Parallel Decoding for Training-Free Acceleration of Diffusion LLMEfficient LLM inference and serving → Diffusion LLM and MoE inference
- LAST: Bridging Vision-Language and Action Manifolds via Gromov-Wasserstein AlignmentVision-language-action models → 3D and spatial-aware VLA
- From Human Guidance to Autonomy: Agent Skill System for End-to-End LLM Deployment on Spatial NPUsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Physics from Video: Identifiability of Time-Invariant Second-Order ODEs under Minimal Trajectory ConditionsWorld models → Latent predictive world models
- World Models for Robotic Manipulation: A SurveyWorld models → Embodied and robot world models
- Evolving to the Aesthetics of a Vision-Language ModelMultimodal LLMs / vision-language models → Image editing and quality assessment
- Lightweight SAR Ship Detection via Contrastive DistillationKnowledge distillation → Detection and dense prediction distillation
- The Best-Laid SCHEMEs: Coordinated Sabotage and Monitoring in Multi-Agent SystemsLLM agents and tool use → Agent threats, guardrails and governance
- UA-Legal-Bench: A Benchmark for Evaluating Large Language Models on Ukrainian Legal ReasoningLLM reasoning → Reasoning for agents, planning and code
- Better Later Than Sooner: Neuro-Symbolic Knowledge Graph Construction via Ontology-grounded Post-extraction CorrectionLLM reasoning → Knowledge- and tool-augmented reasoning +1
- RUBRIC-ARROW: Alternating Pointwise Rubric Reward Modeling for LLM Post-training in Non-verifiable DomainsLLM alignment / RLHF / preference optimisation → Reward hacking and misspecification
- CA-AC-MPC: CUDA-Accelerated Actor-Critic Model Predictive ControlDeep reinforcement learning methods → RL for autonomous driving and traffic
- SafeRx-Agent: A Knowledge-Grounded Multi-Agent Framework for Safe and Explainable Medication RecommendationLLM agents and tool use → Medical and scientific domain agents
- Toward User Preference Alignment in LLM Recommendation via Explicit Context FeedbackLLM alignment / RLHF / preference optimisation → Preference alignment for recommenders and RAG
- Multi-Resolution End-to-End Deep Neural Network for Optimizing Latency-Accuracy Tradeoff in Autonomous DrivingEnd-to-end autonomous driving → End-to-end system architecture
- Rotary GPU: Exploring Local Execution Paths for Large Mixture-of-Experts Models Under Limited GPU MemoryMixture-of-experts → Efficient MoE training and inference systems
- Governing Technical Debt in Agentic AI SystemsLLM agents and tool use → Software engineering coding agents
- When and How Long? The Readout-Mediator Angle in Temporal ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning +1
- The Confidence Shortcut: A Reasoning Failure Mode of Masked Diffusion ModelsLLM reasoning → Diffusion reasoning and test-time scaling +1
- A Minimal Bifurcation Model of Load Imbalance in a Softmax Mixture-of-Experts RouterMixture-of-experts → Expert routing strategies
- PRO-CUA: Process-Reward Optimization for Computer Use AgentsLLM agents and tool use → GUI and mobile agents +2
- Beyond Consensus: Trace-Level Synthesis in Mixture of AgentsLLM agents and tool use → Social simulation and multi-agent debate
- ReasonBreak: Probing Vulnerabilities in Reasoning-Enabled Vision-Language-Action Models for Autonomous DrivingVision-language-action models → VLA for autonomous driving +1
- OISD: On-Policy Internal Self-Distillation of Language ModelsLLM reasoning → Prompting and chain-of-thought reasoning +1
- The Chain Holds, the Answer Folds: Trace-Answer Dissociation in Reasoning Models Under Adversarial PressureLLM reasoning → Prompting and chain-of-thought reasoning
- Same Question, Different Source, Different Answer: Auditing Source-Dependence in Medical Multi-Source RAGRetrieval-augmented generation → Medical and biomedical RAG
- The Importance of Out-of-Band Metadata for Safe Autonomous Agents: The Redpanda Agentic Data PlaneLLM agents and tool use → Agent threats, guardrails and governance
- Bridging the Sim-to-Real Gap in Reinforcement Learning-Based Industrial Dispatching through Execution SemanticsDeep reinforcement learning methods → RL for energy, networks and operations
- Structured Prompt Optimization Meets Reinforcement Learning for Global and Local Interpretability over Complex TextDeep reinforcement learning methods → RL training of language and agent models
- Embodied3DBench: Benchmarking Low-Level Embodied Spatial Intelligence of Vision Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Diffusion Model-Based Data Assimilation for Real-World Energy Consumption ForecastingDiffusion models → Flow matching, time series and science
- Robust and Efficient Guardrails with Latent ReasoningLLM reasoning → Reasoning for agents, planning and code +1
- Persona Prompting in Multimodal Urban Perception: Descriptive Convergence and Interpretive VariationMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Converted, Not Equivalent: Benchmarking Codebase Conversion via Observational EquivalenceLLM agents and tool use → Software engineering coding agents
- Moment Matching Q-LearningOffline RL and imitation learning from data → Diffusion and flow policies for offline RL +1
- Theoretical Foundations and Effective Algorithms for Policy-Aware Simulator LearningWorld models → Latent dynamics models and model-based RL +1
- When Models Disagree: Rethinking LLM Evaluation for Public Comment AnalysisLLM reasoning → Reasoning benchmarks and evaluation
- Three-dimensional Conditional Diffusion Models for Cosmological 21 cm Lightcone EmulationDiffusion models → Inverse problems and image restoration
- Label-Free Reinforcement Learning via Cross-Model EntropyDeep reinforcement learning methods → RL training of language and agent models
- Taxonomy-Targeted Error Generation for Quantitative ReasoningLLM reasoning → Mathematical reasoning
- FedQHD: Closed-Form Function-Space Federated Reinforcement LearningDeep reinforcement learning methods → RL for energy, networks and operations
- FormInv: A Measurement Protocol for Semantic Invariance in Mathematical Reasoning BenchmarksLLM reasoning → Mathematical reasoning
- Measuring Real-World Prompt Injection Attacks in LLM-based Resume ScreeningLLM safety and security → Prompt injection and agent security
- GAP3D: Generative Alignment of VLM Latents to Patch-Level Embeddings for 3D GenerationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- VFEAgent: A Multimodal Agent Framework for End-to-End Automated Finite Element AnalysisLLM agents and tool use → Multimodal and embodied agents
- Frontier LLM-based agents can overcome the ontology curation bottleneck for natural phenotypesLLM agents and tool use → Web, search, and research agents
- CosmicFish-HRM: Adaptive Reasoning via Hierarchical Recurrent Mechanisms in Compact Language ModelsLLM reasoning → Test-time compute and efficient thinking
- Agentic AI for Gravitational Wave Data Analysis: A Head-to-Head Comparison of Coding Agents Executing a Matched Filter Pipeline on Einstein Telescope Simulated DataLLM agents and tool use → Web, search, and research agents
- AIRGuard: Guarding Agent Actions with Runtime Authority ControlLLM agents and tool use → Agent threats, guardrails and governance
- Reasoning that Travels: Dissecting How Chain-of-Thought Transfers Across ModelsLLM reasoning → Prompting and chain-of-thought reasoning
- Hallucination Detection-Guided Preference Optimization for Clinical SummarizationLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
- Orthogonal Concept Erasure for Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects
- Spectral Guidance for Flexible and Efficient Control of Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- Feature Geometry of LoRA Adapters: A Sparse Autoencoder Analysis of Representational Divergence in Fine-Tuned Language ModelsMechanistic interpretability → SAE features and their applications
- Echoes within the Reasoning: Stealthy and Effective Watermarking via Chain of ThoughtLLM reasoning → Prompting and chain-of-thought reasoning
- Generative Spatiotemporal Intent Sequence Recommendation via Implicit Reasoning in AmapLLM reasoning → Spatial and embodied reasoning
- From Pixels to Words -- Towards Native One-Vision Models at ScaleMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Do VLMs Align Better with Humans than LLMs during Natural Reading?Multimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Gamma-World: Generative Multi-Agent World Modeling Beyond Two PlayersWorld models → Video-generation world models and simulators
- Self-Improving Language Models with Bidirectional Evolutionary SearchLLM agents and tool use → General LLM agent frameworks and benchmarks +1
- Calibrating Conservatism for Scalable OversightLLM agents and tool use → Agent threats, guardrails and governance
- OmniVerifier-M1: Multimodal Meta-Verifier with Explicit Structured RecalibrationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- HoloQ-VLA: Uniform W4A4 Quantization of Vision-Language-Action ModelsVision-language-action models → Efficient VLA inference and adaptation
- Human Label Variation as Stable Signal: Learning Annotator-Specific Explanation Behavior via Cross-Annotator Preference OptimizationLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Skill-Conditioned Gated Self-Distillation for LLM ReasoningLLM reasoning → Prompting and chain-of-thought reasoning +1
- Do Data Agents Need Semantic Metadata? A Comparative Study in Agentic Data RetrievalLLM agents and tool use → Web, search, and research agents
- The Abstraction Gap in Vision-Language Causal ReasoningLLM reasoning → Multimodal reasoning +1
- Learn from Weaknesses: Automated Domain Specialization for Small Computer-Use AgentsLLM agents and tool use → Software engineering coding agents
- Agent Explorative Policy Optimization for Multimodal Agentic ReasoningLLM reasoning → Multimodal reasoning +2
- Rethinking Memory as Continuously Evolving ConnectivityLLM reasoning → Reasoning for agents, planning and code +1
- CORE: Contrastive Reflection Enables Rapid Improvements in ReasoningLLM reasoning → Test-time compute and efficient thinking
- Self-Prophetic Decoding to Unlock Visual Search in LVLMsLLM reasoning → Multimodal reasoning +1
- Imitation Learning for Robot Assistance in Open Surgery: A Multi-Policy Evaluation on Suture FollowingOffline RL and imitation learning from data → Safe offline RL
- Code as a Weapon: A Consensus-Labeled Prompt Bank for Measuring Coding-Model Compliance with Malicious-Code RequestsLLM safety and security → Safety alignment, refusal and guardrails
- MemTrace: Tracing and Attributing Errors in Large Language Model Memory SystemsLLM reasoning → Test-time compute and efficient thinking
- Execution and assessment of agentic influence operations in simulated social networksLLM agents and tool use → Social simulation and multi-agent debate
- Multi-Adapter Representation Interventions via Energy CalibrationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- LiveBrowseComp: Are Search Agents Searching, or Just Verifying What They Already Know?LLM agents and tool use → Web, search, and research agents
- Thinking as Compression: Your Reasoning Model is Secretly a Context CompressorLLM reasoning → Test-time compute and efficient thinking +1
- Stage-wise Distortion-Perception Traversal in Zero-shot Inverse Problems with Diffusion ModelsDiffusion models → Inverse problems and image restoration
- The Importance of Being Statistically Earnest: A Critical Re-evaluation of GSM-SymbolicLLM reasoning → Mathematical reasoning
- TRACER: Turn-level Regret Matching with Inner Reinforcement Credit for Cooperative Multi-LLM ReasoningLLM reasoning → Reasoning for agents, planning and code
- OSP-Next: Efficient High-Quality Video Generation with Sparse Sequence Parallelism, HiF8 Quantization, and Reinforcement LearningDiffusion models → Video generation +1
- VeriTrip: A Verifiable Benchmark for Travel Planning Agents over Unstructured Web CorporaLLM agents and tool use → Multimodal and embodied agents
- DREAM-R: Multimodal Speculative Reasoning with RL-Based Refined Drafting, Precise Verification, and Fully Parallel ExecutionMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Optimal Data Acquisition for Reinforcement Learning: A Large Deviations PerspectiveDeep reinforcement learning methods → RL theory and sample complexity
- Activation Steering for Synthetic Data Generation: The Role of Diversity in Downstream Safety DetectionMechanistic interpretability → Activation steering methods
- Interpretability-Guided Layer Selection over Subspace Projection: SAEs as Stethoscopes, Not Scalpels, for Raw Task Vector Model EditingMechanistic interpretability → Sparse autoencoder training and evaluation
- The Ethics of LLM Sandbox and Persona DynamicsLLM safety and security → Safety alignment, refusal and guardrails
- MaskClaw: Edge-Side Personalized Privacy Arbitration for GUI Agents with Behavior-Driven Skill EvolutionLLM agents and tool use → Agent threats, guardrails and governance
- GraphSteal: Structural Knowledge Stealing from Graph RAG via Traversal ReconstructionRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- Augmenting Attention with Exponentially Decaying Memory Improves Query-Aware KV SparsityEfficient LLM inference and serving → KV cache optimization
- PrimitiveVLA: Learning Reusable Motion Primitives for Efficient and Generalizable Robotic ManipulationVision-language-action models → Generalist VLA models and benchmarks
- Blind PRNG Hijacking: An Undetectable Integrity-Preserving Attack Against LLM WatermarkingLLM safety and security → Watermarking generated content and models
- Mobile-Aptus: Confidence-Driven Proactive and Robust Interaction in MLLM-based Mobile-Using AgentsLLM agents and tool use → GUI and mobile agents
- Random Process Flow Matching: Generative Implicit Representations of Multivariate Random FieldsDiffusion models → Flow matching, time series and science
- LACUNA: Safe Agents as Recursive Program HolesLLM agents and tool use → Agent threats, guardrails and governance
- Compositional Text-to-Image Generation Via Region-aware Bimodal Direct Preference OptimizationLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
All 686
- JECA^2: Judgment-Explanation Consistent Adversarial Attack against Forensic Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- Adaptive Multimodal Agents-Based Framework for Automatic Workflow ExecutionLLM agents and tool use → Software engineering coding agents
- Satisfiability Solving with LLMs: A Matched-Pair Evaluation of Reasoning CapabilityLLM reasoning → Reasoning benchmarks and evaluation
- Transformers Provably Learn to Internalize Chain-of-ThoughtLLM reasoning → Prompting and chain-of-thought reasoning
- Evaluating the Realism of LLM-powered Social Agents: A Case Study of Reactions to Spanish Online NewsLLM agents and tool use → Social simulation and multi-agent debate
- Position: Retire the "Positive Backdoor" Label -- Secret Alignment Requires Strict and Systematic EvaluationLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks
- Technical Report: Exploring the Emerging Threats of the Agent Skill EcosystemLLM safety and security → Prompt injection and agent security
- SARAD: LLM-Based Safety-Aware Hybrid Reinforcement Learning with Collision Prediction for Autonomous DrivingEnd-to-end autonomous driving → Large language models for driving
- Continual Model Routing in Evolving Model HubsMixture-of-experts → Expert routing strategies
- Actor-Identifier-Critic Reinforcement Learning for Adaptive Model-Free Optimal Control of Nonlinear Systems with Stochastic Packet DropoutsDeep reinforcement learning methods → RL theory and sample complexity
- Semantic Optimal Transport for Sparse Autoencoder Feature Matching and Circuit CompressionMechanistic interpretability → SAE features and their applications
- Tree of Thoughts as a Classical Heuristic Search Problem: Formal Foundations and Design PatternsLLM reasoning → Test-time compute and efficient thinking
- Soft-SVeRL: Self-Verified Reinforcement Learning with Soft RewardsDeep reinforcement learning methods → RL training of language and agent models
- A Matter of TASTE: Improving Coverage and Difficulty of Agent BenchmarksLLM agents and tool use → Tool learning and function calling
- Refusal Before Decoding: Detecting and Exploiting Refusal Signals in Intermediate LLM ActivationsMechanistic interpretability → Steering and probing for LLM safety
- Modeling Vehicle-Type-Specific Pedestrian Crash Avoidance Behavior in Safety-Critical Interactions Using Smooth-Mamba Deep Reinforcement LearningDeep reinforcement learning methods → RL for autonomous driving and traffic
- GEM: Generative Supervision Helps Embodied IntelligenceMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- DriveWAM: Video Generative Priors Enable Scalable World-Action Modeling for Autonomous DrivingWorld models → World models for autonomous driving +2
- GUI-CIDER: Mid-training GUI Agents via Causal Internalization and Density-aware Exemplar ReselectionLLM agents and tool use → GUI and mobile agents
- Do Agents Know What They Can't Do? Evaluating Feasibility Awareness in Tool-Using AgentsLLM reasoning → Reasoning for agents, planning and code
- Search for Coverage: Learning Coverage-Aware Retrieval with Augmented Sub-Question AnswerabilityRetrieval-augmented generation → RAG pipeline design and evaluation
- Do LLMs Favor Their Providers? Measuring Vertical Integration Bias in Code GenerationLLM agents and tool use → Software engineering coding agents
- SSR3D-LLM: Structured Spatial Reasoning via Latent Steps for Fine-Grained Grounding in Unified 3D-LLMsLLM reasoning → Spatial and embodied reasoning
- ProvMind: Provenance-grounded reasoning for materials synthesisLLM reasoning → Clinical and biomedical applications
- Mag-VLA: Vision-Language-Action Model for Bimanual Magnetically Actuated Microrobot ManipulationVision-language-action models → Tactile, force-aware and humanoid VLA
- Mitigating Adaptive Attacks against Reasoning Models with Activation Consistency TrainingLLM reasoning → Reasoning for agents, planning and code +1
- Beyond One Path: Evaluating and Enhancing Divergent Thinking in Interactive LLM AgentsLLM reasoning → Reasoning benchmarks and evaluation +1
- REVEAL: Reference-Grounded Reasoning for Multimodal Manipulation DetectionMixture-of-experts → Multimodal MoE models
- AdaDPO: Self-Adaptive Direct Preference Optimization with Balanced Gradient UpdatesLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Roles with Rails: Contract-Preserving Role Evolution in Multi-Agent Structured ReasoningLLM reasoning → Reasoning for agents, planning and code +1
- Latent Diffusion for Missing DataDiffusion models → Flow matching, time series and science
- Skill0.5: Joint Skill Internalization and Utilization for Out-of-Distribution Generalization in Agentic Reinforcement LearningLLM agents and tool use → Agent skill learning and evolution
- VITAL: Visual-Semantic Dual Supervision for Enhanced and Interpretable Latent Reasoning in Medical MLLMsLLM reasoning → Clinical and biomedical applications
- DenoiseRL: Bootstrapping Reasoning Models to Recover from Noisy PrefixesLLM reasoning → Reinforcement learning for reasoning +1
- Efficient Post-training of LLMs for Code Generation With Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
- HRBench: Benchmarking and Understanding Thinking-Mode Switch Strategies in Hybrid-Reasoning LLMsLLM reasoning → Test-time compute and efficient thinking
- ADWIN: Adaptive Windows for Horizon-Aware On-Policy DistillationLLM reasoning → Prompting and chain-of-thought reasoning +1
- You Live More Than Once: Towards Hierarchical Skill Meta-EvolvingLLM agents and tool use → Agent skill learning and evolution
- FABSVer: Faster Training and Better Self-Verification for LLM Mathematical ReasoningLLM reasoning → Mathematical reasoning
- Mechanistically Interpreting the Role of Sample Difficulty in RLVR for LLMsLLM reasoning → Reinforcement learning for reasoning +1
- Teacher-Student Representational Alignment for Reinforcement Learning-Driven Imitation LearningOffline RL and imitation learning from data → Imitation learning methods +1
- From paper to benchmark: agentic, framework-based reproduction of under-specified methods in machine health intelligenceLLM agents and tool use → Web, search, and research agents
- CyberJurors: A Multi-Agent Simulation Task for E-Commerce Disputes VerdictLLM agents and tool use → Social simulation and multi-agent debate
- LEIA: Learned Environment for Interactive Architected MaterialsWorld models → Latent predictive world models
- Risk-Controlled Lean-as-Judge for Natural-Language Mathematical ReasoningLLM reasoning → Mathematical reasoning
- Variance-Adaptive Optimal Algorithm for Reinforcement Learning with Multinomial Logit Function ApproximationDeep reinforcement learning methods → RL theory and sample complexity
- Prompt Codebooks: Discrete Compositional Optimization for Language Model Instruction RefinementLLM agents and tool use → General LLM agent frameworks and benchmarks
- From Knowing to Doing: A Memory-Controlled Benchmark for LLM Trading Agents on Stock MarketsLLM agents and tool use → Financial trading and forecasting agents
- Plan Before Search: Search Agents Need PlanLLM reasoning → Knowledge- and tool-augmented reasoning +2
- FedMPT: Federated Multi-label Prompt Tuning of Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- When Discourse Pressures Conflict: Information Structure in Vision-Language Model OutputsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Inpainting-Style Conditional Diffusion for Multivariable Time Series ForecastingDiffusion models → Flow matching, time series and science
- Multi-Agent LLM-based Metamorphic Testing for REST APIsLLM agents and tool use → Software engineering coding agents
- Hybrid Neural World ModelsWorld models → Latent predictive world models
- Argument Quality Assessment with Large Language Models: A Pairwise Bradley-Terry ApproachLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Routing-Aligned Fine-Tuning for Multilingual Downstream Tasks in Mixture-of-Experts ModelsMixture-of-experts → Expert routing strategies
- Revisiting Anthropomorphic Reflection Markers in Large Language Model ReasoningLLM reasoning → Reasoning benchmarks and evaluation
- From Fact Overwriting to Knowledge Evolution: Causal Editing via On-Policy Self-DistillationKnowledge distillation → On-policy and self-distillation for LLMs
- How Far Can Disaggregation Go? A Design-Space Exploration of Attention-FFN Disaggregation for Efficient MoE LLM ServingMixture-of-experts → Efficient MoE training and inference systems +1
- Better Accuracies, Worse Reasoning: A Step-Level Audit of Medical Chain-of-Thought DistillationLLM reasoning → Clinical and biomedical applications +1
- Where Rollouts Begin: Low-Load, High-Leverage First-Token Diversification for RLVRLLM reasoning → Reinforcement learning for reasoning
- ProRL: Effective Reinforcement Learning for Proactive Recommendation via Rectified Policy Gradient EstimationDeep reinforcement learning methods → RL training of language and agent models
- CIRF: Tokenizing Chain-of-Thoughts into Reusable Functional Units for Efficient Latent Reasoning in Large Language ModelsLLM reasoning → Prompting and chain-of-thought reasoning
- AtomComposer: Discovering Chemical Space from First Principles with Reinforcement LearningDeep reinforcement learning methods → RL for energy, networks and operations
- Do LLMs Build World Models From Text? A Multilingual Diagnostic of Spatial ReasoningWorld models → World models for language agents +1
- Commit to the Bit: Reactive Reinforcement Learning Done RightDeep reinforcement learning methods → RL theory and sample complexity
- Global Policy-Space Response Oracles for Two-Player Zero-Sum GamesDeep reinforcement learning methods → RL for games and combinatorial optimization
- GUI Agents for Continual Game GenerationLLM agents and tool use → Software engineering coding agents
- IRDS: Interpretable RLVR Data Selection via Verifier-Coupled Sparse Autoencoder CoverageLLM reasoning → Reinforcement learning for reasoning +1
- Learning to Label: A Reinforced Self-Evolving Framework for Semi-supervised Referring Expression SegmentationSynthetic data and self-improvement for LLMs → Self-improving MLLMs and synthetic data
- PIRS: Physics-Informed Reward Shaping for SAC-Based Building Energy ManagementDeep reinforcement learning methods → RL for energy, networks and operations
- ProgVLA: Progress-Aware Robot Manipulation Skill LearningVision-language-action models → Reinforcement learning and post-training +1
- VidPrism: Heterogeneous Mixture of Experts for Image-to-Video TransferMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
- PhAME: Phenotype-Aware Molecular Editing via Latent DiffusionDiffusion models → Flow matching, time series and science
- When Does Memory Help Multi-Trajectory Inference for Tool-Use LLM Agents?LLM reasoning → Reasoning for agents, planning and code +1
- Analyzing Quality-Latency-Resource Trade-offs in a Technical Documentation RAG Assistant Using LoRA AdaptationRetrieval-augmented generation → RAG pipeline design and evaluation
- Explaining is Harder Than Predicting Alone: Evaluating Concept-based Explanations of MLLMs as ICL Visual ClassifiersMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Learning When to Optimize: Verified Optimization Skills from Expert GPU-Kernel LineagesLLM agents and tool use → Software engineering coding agents
- Pruning and Distilling Mixture-of-Experts into Dense Language ModelsMixture-of-experts → MoE large language models
- Refining Multidimensional Video Reward Models via Disentangled Influence FunctionsLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
- Plant, Persist, Trigger: Sleeper Attack on Large Language Model AgentsLLM agents and tool use → Agent threats, guardrails and governance
- Agentic Active Omni-Modal Perception for Multi-Hop Audio-Visual ReasoningLLM reasoning → Audio-language model reasoning +1
- Visualizing Latent Phase Structures in Locomotion Policies: A Multi-Environment Study with Temporal Feature ExtensionDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Joint Training of Multi-Token Prediction in Reinforcement Learning via Optimal Coefficient CalibrationLLM reasoning → Reinforcement learning for reasoning +1
- BenGER: Benchmarking LLM Systems on Subsumption-Based Legal Reasoning in German LawLLM reasoning → Reasoning for agents, planning and code
- When Confidence Misleads: Suffix Anchoring and Anchor-Proximity Confidence Modulation for Diffusion Language ModelsDiffusion models → Discrete and text diffusion
- Mixture-of-Experts Knowledge Graph Retrieval-Augmented Generation for Multi-Agent LLM-based RecommendationRetrieval-augmented generation → RAG for recommendation +2
- MangaFlow: An End-to-End Agentic Framework for Controllable Story to Manga GenerationLLM agents and tool use → Multimodal and embodied agents
- DebFilter: Eradicating Biases Stashed in ValueMultimodal LLMs / vision-language models → Social bias and fairness in VLMs +1
- Look on Demand: A Cognitive Scheduling Framework for Visual Evidence Acquisition in Multimodal ReasoningLLM reasoning → Multimodal reasoning
- OR-Space: A Full-Lifecycle Workspace Benchmark for Industrial Optimization AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Off-Policy Learning to Reason Works Because It Is More Pessimistic Than You ThinkLLM reasoning → Reinforcement learning for reasoning
- Sign-Aware Gated Sparse Autoencoders: Modeling Anticorrelated Features with Bi-Jump-ReLU ActivationsMechanistic interpretability → SAE features and their applications
- Deconstructing Spatial Complexity: Hierarchical Decomposition for LLM Spatial ReasoningLLM reasoning → Spatial and embodied reasoning
- Self-Consistency via Marginal SharpeningLLM reasoning → Test-time compute and efficient thinking
- Data-Efficient On-Policy Distillation for Automatic Speech RecognitionKnowledge distillation → Speech and audio distillation
- Adaptive Coarse-to-Fine Subgoal Refinement for Long-Horizon Offline Goal-Conditioned Reinforcement LearningOffline RL and imitation learning from data → Diffusion and flow policies for offline RL
- Risk-aware Selective Prompting for Hallucination Mitigation in Large Vision-Language ModelsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- SNARE: Adaptive Scenario Synthesis for Eliciting Overeager Behavior in Coding AgentsLLM agents and tool use → Software engineering coding agents +1
- LegalGraphRAG: Multi-Agent Graph Retrieval-Augmented Generation for Reliable Legal ReasoningLLM reasoning → Reasoning for agents, planning and code +2
- MIRAGE: Context-Aware Prompt Injection against Mobile GUI Agents via User-Generated ContentLLM agents and tool use → Agent threats, guardrails and governance +1
- CIVIC: End-to-End Sequence Compactness for Efficient Vision-Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- Language model agents show in-group trust bias invisible to standard behavioural auditsLLM agents and tool use → Social simulation and multi-agent debate
- Chreode: A Cell World Model for One-Step Temporal Dynamics and Perturbation PredictionWorld models → Medical and surgical world models
- Ask Now, Use Later: Benchmarking the Proactivity Gap in Long-Lived LLM AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Defending LLM-based Multi-Agent Systems Against Cooperative Attacks with Sentence-Level RectificationLLM agents and tool use → Agent threats, guardrails and governance
- Training Stratigraphy: Persistent Behavioral Artifacts in Large Language Models Observed Through Longitudinal AI-Human InteractionLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Examining Agents' Bias Amplification versus Suppression in Multi-Agent SystemsLLM agents and tool use → Social simulation and multi-agent debate
- ICAN-Deploy: Identity-Stable Canary Deployment for Safety-Critical Embodied AgentsLLM agents and tool use → Agent threats, guardrails and governance
- ConRAG: Consensus-Driven Multi-View Retrieval for Multi-Hop Question AnsweringRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- SMILE-Next: Teaching Large Language Models to Detect, Classify, and Reason about LaughterLLM reasoning → Multimodal reasoning
- VLA-Hijack: A Transferable Patch Attack against Vision-Language-Action Models via Visual Proprioception HijackingVision-language-action models → Safety and adversarial attacks
- MACReD: A Multi-Agent Collaborative Reasoning Framework for Reaction Diagram ParsingLLM reasoning → Clinical and biomedical applications +1
- SilentRetrieval: Hijacking Retrieval-Augmented Generation via Semantically-Preserving Adversarial Data PoisoningRetrieval-augmented generation → Privacy and security of RAG +1
- StoryLens: Preference-Aligned Story Rewriting via Context-Aware Narrative EnrichmentLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- AgentGuard: An Attribute-Based Access Control Framework for Tool-Use LLM-Based AgentLLM agents and tool use → Agent threats, guardrails and governance
- Bridging the Detection-to-Abstention Gap in Reasoning Models under Insufficient InformationLLM reasoning → Test-time compute and efficient thinking
- ZipRL: Adaptive Multi-Turn Context Compression with Hindsight Response ReplayEfficient LLM inference and serving → Efficient reasoning and agent inference
- BlazeEdit: Generalist Image Editing on Mobile Devices with Image-to-Image Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- CogPortrait: Fine-Grained Eye-Region Control in Portrait Animation via Hierarchical Agent PlanningLLM agents and tool use → Multimodal and embodied agents
- Beyond Surrogate Gradients: Fully Differentiable Token Pruning for Vision-Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- Extracting Small Translation Specialists from LLMs by Aggressively Pruning ExpertsMixture-of-experts → MoE large language models
- Stay Fair! Ensuring Group Fairness in Diffusion Models Across Guidance ScalesDiffusion models → Image generation, text-to-image and editing
- SPARD: Defending Harmful Fine-Tuning Attack via Safety Projection with Relevance-Diversity Data SelectionLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- BPPO: Binary Prefix Policy Optimization for Efficient GRPO-Style Reasoning RL with Concise ResponsesLLM reasoning → Reinforcement learning for reasoning
- The Missing Piece in Pre-trained Model Evaluation: Reward-Guided Decoding Unlocks Task-Oriented Behavior Without Parameter UpdatesLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- ROSD: Reflective On-Policy Self-Distillation for Language Model Reasoning across DomainsLLM reasoning → Prompting and chain-of-thought reasoning +1
- KSAFE-MM: A Multimodal Safety Benchmark via Localized Contextualization for Korean Cultural RisksMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- MemGuard: Preventing Memory Contamination in Long-Term Memory-Augmented Large Language ModelsLLM reasoning → Reasoning for agents, planning and code
- Zipping the Thought: When and How Compressed Reasoning Data Works in LLM Post-TrainingLLM reasoning → Test-time compute and efficient thinking
- Integrated and Cross-Architecture Interpretation of LLM ReasoningLLM reasoning → Reasoning benchmarks and evaluation
- Beyond Chunk-Local Extraction: Cross-Chunk Graph Augmentation for GraphRAGRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- ResearchMath-14K: Scaling Research-Level Mathematics via AgentsLLM agents and tool use → Educational agents and math problem solving
- Tool Forge: A Validation-Carrying Toolchain for Governed Agentic ExecutionLLM agents and tool use → Tool learning and function calling
- Learning to Assign Prediction Tasks to Agents with Capacity ConstraintsLLM agents and tool use → Agent skill learning and evolution
- Where Does Toxicity Live? Mechanistic Localization and Targeted Suppression in Language ModelsLLM safety and security → Safety alignment, refusal and guardrails
- Reward Bias Substitution: Single-Axis Bias Mitigations Redirect Optimization PressureLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- AsyncTool: Evaluating the Asynchronous Function Calling Capability under Multi-Task ScenariosLLM agents and tool use → Tool learning and function calling
- Rethinking Visual Neglect: Steering via Context-Preference for MLLM Hallucination MitigationLLM reasoning → Hallucination detection and mitigation +1
- Geometry-Correct Diffusion Posterior Sampling with Denoiser-Pullback Curvature Guidance and Manifold-Aligned DampingDiffusion models → Inverse problems and image restoration
- KVoiceBench, KOpenAudioBench, and KMMAU: Agent-Driven Korean Speech Benchmarks for Evaluating SpeechLMsLLM agents and tool use → General LLM agent frameworks and benchmarks
- ABot-OCR Technical ReportMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- Continual Learning in Modern Hopfield Networks with an Application to Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects
- Semantic Flow Regularization: Teaching LLMs to Generate Diverse Yet Coherent ResponsesDiffusion models → Discrete and text diffusion
- Multi-Teacher Knowledge Distillation via Teacher-Informed Mixture PriorsKnowledge distillation → General knowledge distillation methods
- The Shape of Overthinking: Backtracking Bursts in Long Reasoning TracesLLM reasoning → Test-time compute and efficient thinking
- Mags-RL: Wearing Multimodal LLMs a Magnifying Glass via Agentic Reinforcement Learning For Complex Scene ReasoningLLM reasoning → Multimodal reasoning +2
- ROVER: Routing Object-Centric Visual Evidence for Grounded Multi-Image ReasoningLLM reasoning → Multimodal reasoning +1
- Pressure-Testing Deception Probes in LLMs: Scaling, Robustness, and the Geometry of Deceptive RepresentationsMechanistic interpretability → Probing deception, bias and beliefs
- Skill-as-Pseudocode: Refactoring Skill Libraries to Pseudocode for LLM AgentsLLM agents and tool use → Agent skill learning and evolution
- Cyclical Entropy Eruption: Entropy Dynamics in Agent Reinforcement LearningLLM agents and tool use → Reinforcement learning for LLM agents +1
- Beyond Similarity: Task-Aligned Retrieval for Language ModelsRetrieval-augmented generation → RAG pipeline design and evaluation
- SANTS: A State-Adaptive Scheduler for World Action ModelsWorld models → Embodied and robot world models
- Do Agents Think Deeper? A Mechanistic Investigation of Layer-Wise Dynamics in Sequential PlanningLLM reasoning → Reasoning for agents, planning and code +1
- GeneralThinker: Domain-General Reasoning through Likelihood-Guided Answer-Conditioned OptimizationLLM reasoning → Reinforcement learning for reasoning
- When Think-with-Image Meets Safety: What Determines Multimodal Jailbreak Robustness?LLM reasoning → Reasoning for agents, planning and code +2
- Structure-Guided Visual Perturbation Neutralization for LVLMsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- Harness-Bench: Measuring Harness Effects across Models in Realistic Agent WorkflowsLLM agents and tool use → Software engineering coding agents
- Rethinking Video-Language Model from the Language Input PerspectiveLLM reasoning → Multimodal reasoning
- OphIn-500K: Curating Web-Scale Visual Instructions for Scaling Ophthalmic Multimodal Large Language ModelsMultimodal LLMs / vision-language models → Medical vision-language models
- Does Capability Transfer to Subjective Behavior -- and Would Our Instruments Tell Us? A Self-Evolving, Trust-by-Construction Evaluation ParadigmSynthetic data and self-improvement for LLMs → Self-rewarding alignment and self-training
- Reasoning Matters: Mitigate Hallucination in Multimodal Large Reasoning Models via Reasoning-Conditioned Preference OptimizationLLM reasoning → Multimodal reasoning +1
- AI Research Agents Narrow Scientific ExplorationLLM agents and tool use → Web, search, and research agents
- The Fragility of Chain-of-Thought Monitoring Across Typologically Diverse LanguagesLLM reasoning → Prompting and chain-of-thought reasoning
- Decoupled Training with Local Reinforcement Fine-Tuning in Federated LearningMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- SKILLC: Learning Autonomous Skill Internalization in LLM Agents via Contrastive Credit AssignmentLLM agents and tool use → Agent skill learning and evolution
- UniACE: A Unified Framework for Evaluating LLM Agentic CapabilitiesLLM agents and tool use → General LLM agent frameworks and benchmarks
- FinBoardBench: Benchmarking Dynamic Wealth Management and Strategic Financial Reasoning of LLMs via Board Game SimulationsLLM reasoning → Reasoning for agents, planning and code
- Towards Unified Vision-Language Models with Incomplete Multi-Modal InputsLLM reasoning → Multimodal reasoning +1
- Reflective Dialogue between Teacher and Solver Agents for Video Question AnsweringMultimodal LLMs / vision-language models → Video understanding with MLLMs +1
- VibeSearchBench: Benchmarking Long-horizon Proactive Search in the WildLLM agents and tool use → Web, search, and research agents
- Retrieval, Reward, and Training Protocols: What Matters in Training Search Agents?LLM agents and tool use → Web, search, and research agents
- Towards Faithful Agentic XAI: A Verification Method and an Open-World Benchmark for Better Model FaithfulnessLLM agents and tool use → General LLM agent frameworks and benchmarks
- AIBuildAI-2: A Knowledge-Enhanced Agent for Automatically Building AI ModelsLLM agents and tool use → Web, search, and research agents
- GRADE: Generalizable Reasoning-Aware Dialogue Evaluation for AI TutorsLLM reasoning → Mathematical reasoning
- FundaPod: A Multi-Persona Agent Pod Architecture with Knowledge Graph Memory for AI-Assisted Fundamental Investment ResearchLLM agents and tool use → Financial trading and forecasting agents
- C-MIG: Multi-view Information Gain-based Retrieval-Augmented Generation for Clinical Diagnosis ReasoningLLM reasoning → Clinical and biomedical applications +1
- MolLingo: Molecule-Native Representations for LLM-Powered Scientific AgentsLLM reasoning → Clinical and biomedical applications +1
- When Context Flips, Safety Breaks: Diagnosing Brittle Safety in Aligned Language ModelsLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks
- FPMoE: A Sparse Mixture-of-Experts Approach to Functional Code GenerationMixture-of-experts → MoE large language models
- EAPO: Entropy-Driven Adaptive Positive-Negative Sample Weighting for Policy Optimization in Open-Ended QALLM reasoning → Reinforcement learning for reasoning
- Reward Transfer from Inverse Reinforcement Learning: A Coupled Minimax ApproachOffline RL and imitation learning from data → Inverse reinforcement learning +1
- MRMMIA: Membership Inference Attacks on Memory in Chat AgentsLLM safety and security → Membership inference attacks
- Revealing Algorithmic Deductive Circuits for Logical ReasoningLLM reasoning → Reasoning benchmarks and evaluation
- Disentangling Adversarial Prompts: A Semantic-Graph Defense for Robust LLM SecurityLLM safety and security → Jailbreaking
- EgoBench: An Interactive Egocentric Multimodal Benchmark for Tool-Using AgentsLLM reasoning → Spatial and embodied reasoning +1
- ReSAE: Residualized Sparse Autoencoders for Multi-Layer Transformer InterventionsMechanistic interpretability → Sparse autoencoder training and evaluation
- Turning Video Models into Generalist Robot PoliciesVision-language-action models → Human-video and latent-action pretraining
- Residualized Temporal Sparse Autoencoders for Interpreting Diffusion ModelsDiffusion models → Diffusion foundations and sampling +1
- Density-aware Sample-specific AttackLLM safety and security → Backdoor and data poisoning attacks
- SYNAPSE: Neuro-Symbolic Visual Thought-to-Text Decoding via Topological Semantic DenoisingLLM reasoning → Multimodal reasoning
- A Fixed-Budget, Cluster-Aware Standard for LLM-as-a-Judge Evaluation: A Multi-Hop RAG Stress TestRetrieval-augmented generation → RAG pipeline design and evaluation
- A Query Engine for the AgentsLLM reasoning → Reasoning for agents, planning and code +1
- WIRE: Profiling Witnessed Within-Policy Instruction Collisions in LLM AgentsLLM agents and tool use → Agent threats, guardrails and governance
- Large Models for Battery Prognostics and Health Management: A Review and Future Roadmap
- DREAM: LLM-based Dynamic Role-playing via Event-Aware Memory Graph
- ConWriter: Transition-Constrained Stateful Long-Form Story Generation with Lightweight Neuro-Symbolic Consistency Control
- CNM-BERT: A Drop-In Structural Embedding for Chinese Characters via Ideographic Description Sequences
- To Facilitate or not to Facilitate: Human and LLM Facilitator Tendencies in Online Discussions
- Semi-Supervised Text-Attributed Graph Distillation
- Dot-Flik: A Scalable Edge AI Architecture for Distributed Insect Monitoring
- Human Decision-Making with AI Assistance under Correlated Features
- A Geometric Profile of Semantic Information in Text: Frame-Conditional Uniqueness and a Trade-Off Triangle for Scalar Summaries
- Uncertainty-aware Multi-fidelity Closure via Conditional Normalizing Flows
- Information-Geometric Optimization on Spheres
- The Routing Plateau: Understanding the Accuracy Limits of LLM Routers
- Multimodal Group Emotion Recognition In-the-Wild Towards a Privacy-Safe Non-Individual Approach
- Closed-Loop Molecular Design with Calibrated Deference
- Enhancing BiGRU with a KAN Block for Legal Document Classification and Summarization
- Recursive Vision Transformer with Dynamic Depth and Width Adjustment for Resource-Efficient Image Semantic Communication
- ChWDTA: Channel-wise Wavelet-Domain Transformer Attention and Entropy Modeling for Learned Image Compression
- General Covariant Action Modeling: Constructing Generalized Manifolds via Spatio-Temporal Decoupling
- VDSB-GWSyn: Diffusion Schr"odinger Bridge for Controllable and Anatomically Feasible Guidewire Synthesis in Coronary Angiography
- Project SPARROW and the Future of Conservation Technology
- Bayesian Multiplicity Correction in the Probabilistic Forward Stepwise Framework
- Slogans or Stance? A Label-Light Diagnostic for Entrepreneurial-Discourse Measurement on Chinese SOE Speeches
- Influence-Guided Symbolic Regression: Scientific Discovery via LLM-Driven Equation Search with Granular Feedback
- TIMEGATE: Sustainable Time-Boxed Promotion Gates for Continual ML Adaptation Under Resource Constraints
- Sustainable Metal-Organic Framework Water Harvesters in the Artificial Intelligence Era
- Paper Agents, Paper Gains: An Empirical Analysis of DeFi Investment Agents
- Probabilistic bias adjustment of seasonal forecasts using generative machine learning: A case study of Arctic sea ice predictions
- Domain-Informed Representation for Evolutionary Sieving in Integral and Module Lattices
- Evolutionary Refinement of Generative Graph Topologies: A Hybrid WGAN-GA Approach
- PROTOCOL: Late Interaction Retrieval for Protein Homolog Search
- Parallax: Parameterized Local Linear Attention for Language Modeling
- Unveiling Multi-regime Patterns in SciML: Distinct Failure Modes and Regime-specific Optimization
- Do Deep Networks Forget Initialization? A Forgetting-Time View of Practical Inductive Bias
- Real-rootedness of the Poincar'e polynomials of overlinemathcal M0,n: an AI-assisted proof
- Optimal Gap-Dependent Regret for Private Stochastic Decision-Theoretic Online Learning
- Certified Adaptive Refresh: Anytime-Valid Monitoring for Federated Conformal RAG
- Eulerian Gaussian Splatting using Hashed Probability Pyramids
- Apertus LLM Family Expansion via Distillation and Quantization
- Robust Cross-Domain Generalization Using Unlabeled Target Data with Source-Domain Supervision
- unix-ctf: Procedural Environments for Unix-Competence Reinforcement Learning
- Bridging Chemists and AI: An Expert-Augmented Framework for Interpretable Route Evaluation
- GEO-Bench: Benchmarking Ranking Manipulation in Generative Engine Optimization
- Model Merging by Output-Space Projection
- Seeing through boxes: Non-Line-of-Sight 3D Reconstruction from Radar Signals
- GeRaF: Neural Geometry Reconstruction from Radio Frequency Signals
- Trends in AI and Human-AI Interaction in Clinical Trials -- A Hybrid Human-AI Exploration
- Lightweight Complementary-Cue Fusion for Robust Video Face Forgery Detection
- A Deep Learning Iterative Framework for Sentinel-1 Stripmap Enhancement Based on Azimuth Doppler Decomposition
- Knowledge Offloading: Decomposing LLMs into Sparse Backbones and Memory Modules
- Accelerating HEVC Intra Partitioning via a CNN-Hierarchical Attention Transformer Hybrid
- Bosses, Kings, and the Commons: Cooperation Under Power Asymmetry in LLM Societies
- SCDBench: A Benchmark for LLM-Based Smart Contract Decompilers
- Parallel Adaptive Multi-Objective Evolutionary Learning of Discretized Bayesian Network Classifiers for Clinical Data
- Hallucination Mitigation with Agentic AI, Nested Learning, and AI Sustainability via Semantic Caching
- LLMBridge: An LLM Pipeline for End-to-end Referential Bridging Resolution in English
- Differentiable Belief-based Opponent Shaping
- Practitioner Beliefs and Behaviors in AI-Enhanced Education: DOT Framework Survey Evidence
- Return-to-Go Is More Than a Number: Q-Guided Alignment for Return-Conditioned Supervised Learning
- Mind Your Tone: Does Tone Alter LLM Performance?
- Designing Active Tether-Net Systems for Space Debris Capture with Graph-Learning-Aided Mixed-Combinatorial Optimization
- Adopt neq Adapt: Longitudinal Analyses of LLM Conversations in the Wild
- Trajectory Constraints for Imaging Inverse Problems
- Causal Intelligence for Constraint-Aware Intervention Design to Induce State Transitions
- LoRe: Adaptive Interaction-Evaluation Routing with Per-Step Interaction Budgets for Iterative Graph Solvers
- Auditing Training-Free 3D Shape Retrieval with Diffused Geodesic Moments
- Text-Preserving Lossy Text Compression: A Study of Strategic Deletion and LLM Reconstruction
- BEAMS: Benchmarking and Evaluating AI for Modeling and Simulation
- Learning Robust and Task-Invariant Functional Representation from fMRI through Siamese Self-Supervised Learning
- The Hamilton-Jacobi Theory of Deep Learning
- Manifold-based Algorithms for the Hadamard Decomposition
- Comparing Post-Hoc Explainable AI Methods for Interpreting Black-Box EEG Models in Depression Detection
- A Training-Time Diagnostic for Generalization via the Log-Alignment Ratio
- Beyond Recall: Behavioral Specification as an Interpretive Layer for AI Personalization
- The Trust Paradox: How CS Researchers Engage LLM Leaderboards
- Resolving Endpoint Underfitting in Diffusion Bridges via Noise Alignment
- Dynamics of Stochastic Momentum with Sparse Updates in High Dimensions
- Optimal Rates for Differentially Private Hypothesis Testing with E-values
- Neural Scaling Laws for Jet Generation
- Conf-Gen: Conformal Uncertainty Quantification for Generative Models
- When LLM Reward Design Fails: Diagnostic-Driven Refinement for Sparse Structured RL
- Cycle-Space Informed Detection of Autoencoded Blind False Data Injection Attacks on Power Systems
- Sequential Physics-Constrained Neural Operator Forward Modeling for the textitNorne Reservoir System
- Quantum-Enhanced Adversarial Robustness in Artificial Intelligence
- Review Arcade: On the Human Alignment and Gameability of LLM Reviews
- Saddle Networks: Structure-Preserving Architectures for Convex-Concave Functions
- Context Distillation as Latent Memory Management
- Computational Modeling of Antibody-Antigen Complexes: PLM-Based and MSA-Based Approaches
- PEFT-Arena: Understanding Parameter-Efficient Finetuning from a Stability-Plasticity Perspective
- Beyond Binary: Sim-to-Real Dexterous Manipulation with Physics-Grounded Contact Representation
- HarmoVid: Relightful Video Portrait Harmonization
- Affective Music Recommendation: A Rollout-Based World Model for Offline Preference Optimization
- AREA: Attribute Extraction and Aggregation for CLIP-Based Class-Incremental Learning
- Personal Visual Memory from Explicit and Implicit Evidence
- CaMBRAIN: Real-time, Continuous EEG Inference with Causal State Space Models
- Can Large Language Models Handle Discourse Particles? A Case Study of Colloquial Malay
- Bias Leaves a Gradient Trail: Label-Free Bias Identification via Gradient Probes on Concept Decompositions
- Can LLMs Use Linguistic Uncertainty Markers to Reliably Reflect Intrinsic Confidence?
- Multi-Mixer Models: Flexible Sequence Modeling with Shared Representations
- Principled Algorithms for Optimizing Generalized Metrics in Multi-Label Learning
- SwarmHarness: Skill-Based Task Routing via Decentralized Incentive-Aligned AI Agent Networks
- CubePart: An Open-Vocabulary Part-Controllable 3D Generator
- Deep Neural Networks for Doubly Robust Estimation with Nonprobability Survey Samples
- Inference-Native Zeroth-Order Optimization for LLMs
- Extrapolative Weight Averaging Reveals Correctness-Efficiency Frontiers in Code RL
- Preference-Shaped Expected Hypervolume and R2 Improvement: Exact Computation and Monotonicity
- Stance Detection in Prediction Markets: Addressing Imbalanced Trader Commentary via Counterfactual Augmentation and Market Context
- Reverse Probing: Supervised Token-level Uncertainty Quantification for Large Language Models in Clinical Text
- BIRDNet: Mining and Encoding Boolean Implication Knowledge Graphs as Interpretable Deep Neural Networks
- SeeGroup: Multi-Layer Depth Estimation of Transparent Surfaces via Self-Determined Grouping
- Utility-Aware Multimodal Contrastive Learning for Product Image Generation
- AlphaTransit: Learning to Design City-scale Transit Routes
- Beyond Lipschitz: Data-Driven Robustness via Discrete Modulus of Continuity
- How VLAs Fail Differently: Black-Box Action Monitoring Reveals Architecture-Specific Failure Signatures
- OpenURMA: A Clean-Room Open Implementation of the Unified Bus Protocol
- IPO-Mine: A Toolkit and Dataset for Section-Structured Analysis of Long, Multimodal IPO Documents
- Towards Reliable Multilingual LLMs-as-a-Judge: An Empirical Study
- Beyond Binary Moral Judgment: Modeling Ethical Pluralism in AI
- Understanding Generalization and Forgetting in In-Context Continual Learning
- Expressive Power of Floating-Point Neural Networks with Arbitrary Reduction Orders and Inexact Activation Implementations
- A Fresh Look at Lamarckian Evolution and the Baldwin Effect
- Deep Learning Strain Estimation: Is Physics-Based Simulation the Solution?
- Misalignment Between Backpropagation and the Hierarchy of Brain Responses to Images
- Latent-Conditioned Parameterized Quantum Circuits as Universal Approximators for Distributions over Quantum States
- History-aware adaptive reduced-order models via incremental singular value decomposition
- AI in the Workplace: The Impact of AI on Perceived Job Decency and Meaningfulness
- Optimal ridge regularization revisited
- Sense Representations Are Inducible Interfaces
- An LLM-Based Assistance System for Intuitive and Flexible Capability-Based Planning
- Applications of temporal graph learning for predicting the dynamics of biological systems
- AutoScientists: Self-Organizing Agent Teams for Long-Running Scientific Experimentation
- GraphLit: Learning Text-Enriched Dynamic Character Network Representations for Literary Study
- Parameter- and Bandwidth-Efficient Edge--cloud Many-to-Many Speech-to-Text Translation
- The Attentional White Bear Effect in Transformer Language Models
- Single-Rollout Hidden-State Dynamics for Training-Free RLVR Data Selection
- EntroAD: Structural Entropy-Guided Prompt Adaptation for Zero-Shot Anomaly Detection
- When Interpretability Is Unequally Distributed: Fairness in Hybrid Interpretable Models
- A Multiscale Kinetic Framework for Image Segmentation: From Particle Systems to Continuum Models
- Measuring Form and Function in Language Models
- Stability of Low-Rank Implicit Regularization in Perturbed Deep Matrix Factorization
- Learning High-Dimensional Parity Functions with Product Networks using Gradient Descent
- Internally Referenced Low-Light Enhancement
- Mining Multi-Modality Spatio-Temporal Cues for Video Important Person Identification
- Online Irregular Multivariate Time Series Forecasting via Uncertainty-Driven Dual-Expert Calibration
- Dark Quest II: A Wide-Coverage Neural Network Emulator of the Nonlinear Matter Power Spectrum Across Extended Cosmologies
- Thermodynamic properties of chemically disordered compounds via AI-driven estimation of partition function with the PULSE method
- PLS in the Mirror of Self-Attention
- Models That Know How Evaluations Are Designed Score Safer
- Thinned Mean Field Langevin Dynamics
- Deformable Gaussian Occupancy: Decoupling Rigid and Nonrigid Motion with Factorized Distillation
- Outer-Momentum Restarting in High-Dimensional Two-Phase Optimization
- MUSE: Benchmarking Manufacturable, Functional, and Assemblable Text-to-CAD Generation
- A Generalized Tikhonov Layer for Interpretable-by-design Graph Neural Networks
- A Conflict-Aware Penalty and Statistical Loss Framework for Balancing Modalities and Enhancing Stability in Multimodal Sentiment Analysis
- Efficient Pre-Training of LLMs through Truncated SVD Representations
- Verified Misguidance: Measuring Structural Citation Failures in Search-Augmented LLMs
- A Multi-dimensional Framework for Evaluating Generalization in EEG Foundation Models
- Token Optimization Strategies for LLM-Based Oracle-to-PostgreSQL Migration
- High Performance, Low Reliability: Uncertainty Benchmarking for Tabular Foundation Models
- Resolution-free neural surrogates for geometric parameterization and mapping with spatially varying fields
- SPRINT: Efficient Spectral Priors for Humanoid Athletic Sprints
- Cultural Binding Heads in Language Models
- Semi-Supervised Hypothesis Testing by Betting on Predictions
- Stabilizing distribution-free probabilistic forecasts
- Entropy-aware Masking for Masked Language Modeling
- Let Relations Speak: An End-to-End LLM-GNN Soft Prompt Framework for Fraud Detection
- ClinicalEncoder26AM: A Multlilingual Diagnosable ColBERT Model; Evidences from the MultiClinNER Shared Task
- GS-FUSE: Granger-Supervised Gated Fusion and Multi-Granularity Alignment for Event-Driven Financial Forecasting
- Stochastic Gradient Descent with Momentum is Algorithmically Stable
- Conservative neural posterior estimation via distributionally robust training
- Learning Theory of the SVRG: Generalization and Convergence Analysis
- On Compositional Learning Behaviours in Formal Mathematics
- Efficient and Scalable Provenance Tracking for LLM-Generated Code Snippets
- Benchmarking AI for low-resource contexts: Thinking beyond leaderboards
- Universal Time Series Generation with Neural Controlled Differential Equations
- Fitting Unknown Number of Hyperplanes with Manifold Optimization
- Functional Entropy: Predicting Functional Correctness in LLM-Generated Code with Uncertainty Quantification
- The Decision to Verify: How Warmth and User Characteristics Shape Reliance on Conversational Agents for Information Search
- Janus-LoRA: A Balanced Low-Rank Adaptation for Continual Learning
- A new semantically annotated corpus with syntactic-semantic and cross-lingual senses
- DiscoForcing: A Unified Framework for Real-Time Audio-Driven Character Control with Diffusion Forcing
- Bridging Maximum Likelihood and Optimal Transport for Efficient Inference and Model Selection in Stochastic Block Models
- Comonadic Morphophonology: A Compositional Framework for Context-Dependent Morphological Rules in Finnish
- From Learning Resources to Competencies: LLM-Based Tagging with Evidence and Graph Constraints
- SA4Depth: Consistent Pose-Depth Scale Alignment for Self-Supervised Monocular Depth Estimation
- The Cases LJP Never Sees: Prosecution Decision Prediction for More Complete Criminal Liability Assessment
- Diffusion Large Language Models for Visual Speech Recognition
- GONDOR to the Rescue: Satisficing Planning with Low Memory
- BiasEdit: A Training-Free Bias-Detect-and-Edit Framework for Learning Fair Visual Classifiers
- Bilinear Coordinate Alignment for Training-Free Task-Vector Transfer
- Self-Supervised Online Robot-Agnostic Traversability Estimation for Open-World Environments
- Bayesian Gated Non-Negative Contrastive Learning
- Breaking the Script Barrier: Enabling Automatic Alignment for PoS-based ASR Error Analysis in Non-Latin Scripts
- Anomaly as Non-Conformity via Training-Free Graph Laplacian Energy Minimization
- Conveyance: A Versatile Framework for Learning in Structured Class Spaces
- Explaining Tabular Foundation Model Differences Through Meta-Features
- Tactile-Proprioceptive Sensor Fusion for Contact Wrench Estimation in Whole-Body Physical Human-Robot Interaction
- Measuring Progress Toward AGI: A Cognitive Framework
- EgoRelight: Egocentric Human Capture and Illumination Recovery for Relightable and Photoreal Avatar Rendering
- A Two-Scan Deep Learning Model for Predicting Dementia in Mild Cognitive Impairment
- Sketch2Motion: Text-driven 2D Sketch to 3D Animation via Diffusion-guided Skeleton Optimization
- Bound-Constrained Sparse Representation for Electrical Impedance Tomography
- CLANE: Continual Learning of Actions on Neuromorphic Hardware from Event Cameras
- Meta-Attention: Bayesian Per-Token Routing for Efficient Transformer Inference
- PrionNER: A Named Entity Recognition Dataset for Prion Disease Biomedical Literature
- PubMedCausal: A Span-Level Annotated Corpus for Causal Relation Extraction in Biomedical Text
- Score Based Error Correcting Code Decoder
- Detecting Diffusion-Generated Time Series Under Generator Shift
- Improving Evaluation of Recombination-based Cartesian Genetic Programming
- Toward Semantic-Agnostic and Shape-Aware Vision-Language Segmentation Models
- Picid: A Modular Evaluation Infrastructure for Reproducible PHM Across Tasks and Domains
- Decision-focused learning for optimal PV-Battery scheduling
- SafeMed-R1: Clinician-Audited Safety and Ethics Alignment for Medical Large Language Models
- An Enhanced Large Neighborhood Search Approach for the Capacitated Facility Location Problem with Incompatible Customers
- Dimensionality Reduction for Robust Federated Learning: A Theoretical Analysis and Convergence Guarantee
- Transfer learning RGB models to hyperspectral images with trainable tensor decompositions
- Learning the Error Patterns of Language Models
- Insurance Pricing Optimization via Off-Policy Evaluation
- Identifying Explicit Parsimonious Piece-wise Polynomial Relationships in Industrial time-series: Application to manipulator robots
- HardMTBench: Stress-Testing Chinese-English Translation on Knowledge-Intensive Domains
- EventShiftFlow: Towards Hardware-efficient FPGA-based Flow Estimation
- Learning to Assess the Reliability of Number-of-Runs Estimation in Stochastic Optimization
- HELEA: Hard-Negative Benchmark and LLM-based Reranking for Robust Entity Alignment
- Compositional Generalization in Autoregressive Models via Logit Composition
- T-GINEE: A Tensor-Based Multilayer Graph Representation Learning
- REED: Post-Training Representation Editing for Cross-Domain Linguistic Steganalysis
- Machine Learning methods for event classification and vertex reconstruction of the 12C + 12C reaction with the MATE-TPC
- Adaptive Bandit Algorithms for Contextual Matching Markets
- PrunePath: Towards Highly Structured Sparse Language Models
- ResearchLoop: An Evidence-Gated Control Plane for AI-Assisted Research
- EchoAvatar: Real-time Generative Avatar Animation from Audio Streams
- LV-OSD: Language-Vision-Complementary Open-Set Object Detection
- Every9D-21M: Large-Scale Real-World 9D Canonicalization of Everyday Objects
- Dynamic Topic Modeling with a Higher-Order Hypergraphical Representation
- Parameter-Efficient Generative Modeling with Controlled Vector Fields
- Entropy Distribution as a Fingerprint for Hallucinations in Generative Models
- MORI-Seg: Learning Morphological Geometry for Instance Segmentation without Instance Annotations
- Category-Level 3D Correspondence in Camera Space via Morphable Object Priors
- AI, Take the Wheel: What Drives Delegation and Trust in Human-Computer Cooperative Question Answering?
- Building Community-Centred NLP Resources for Puno Quechua
- Counterfactually Fair Regression via Optimal Transport
- PointQ-Bench: Benchmarking Diagnostic and Interpretable Point Cloud Quality Assessment
- POINav: Benchmarking and Enhancing Final-Meters Arrival in Real-World Vision-Language Navigation
- Bridging the Sampling Distribution Shift in Radio Map Estimation: A Trajectory-Aware Paradigm
- Geometry of Relaxed Fair Regression: A Unified Framework for Aware and Unaware Settings
- Proprio: Latent Self-Scoring and Inference-Time Refinement for Physically Plausible Video Generation
- When Seekers Are Hard to Help: Evaluating Emotional Support Dialogue Systems in Worst-Case Interactions
- Why We Need Speech to Evaluate Speech Translation
- Supervised Semantic Differential for Cross-Cultural Concept Analysis: A Case Study of Human Affect
- SmartIterator: Visual Analytics Workflows for Supervising Unsupervised Data Grouping
- IFMTBench: A Comprehensive Benchmark for Multilingual Translation Instruction Following
- A Patient-Specific Pulmonary Arterial Tree Digital Twin to Extract Pulmonary Embolism Biomarkers
- Out of Sight, Not Out of Mind: Unveiling Latent Attack in Latent-based Multi-Agent Systems
- When Helpful Context Leaks: Privacy Risks in Domain-Adapted ASR
- The Illusion of Opting in AI-Mediated Consequential Decisions
- Robust Contrastive Graph Clustering with Adaptive Local-Global Integration
- Geometry-First Generative Spatial Single-Cell Reconstruction
- Hierarchical Synthetic Tabular Data Generation: A Hybrid Top-Down and Bottom-Up Framework
- The Harder Text Embedding Benchmark (HTEB): Beyond One-dimensional Static Robustness
- Framing Matters: Addressing Framing Sensitivity in Decision-Making through Behaviorally-Grounded Value Alignment
- Whose Name Comes Up? III: Persona Prompting Effects in LLM-Based Scholar Recommendation
- SuperValid: Capability-Aligned OOD Validation for Generalizable Downstream Scaling
- From Kellgren-Lawrence to Calcium Pyrophosphate Crystal Deposition: A Soft-Labelling Framework for Knee Osteoarthritis Assessmen
- FLORO: A Multimodal Geospatial Foundation Model for Ecological Remote Sensing Across Sensors and Scales
- Localizing Input Uncertainty Quantification for Large Language Models via Shapley Values
- OccuReward: LLM-Guided Occupant-Centric Reward Shaping for Demographic Equity in Grid-Interactive Buildings
- QuITE: Query-Based Irregular Time Series Embedding
- Unification and Optimization of Robust Supervised Learning
- Performance and Explainability Requirements of Evolutionary Algorithms in Real-World Physics-Informed Optimization
- DEPART: DEcomposing PARiTy across Multilingual LLMs
- Learning Logical Operations for Arbitrary Quantum Error Correction Codes
- MeniOmni: A Structured Multimodal Benchmark for Holistic Meniscus Injury Assessment
- Intra-YOLO: A Small Object Detection Model for Caries and Molar-Incisor Hypomineralization in Intraoral Photography Based on Transfer Learning with Reinforcement Learning
- Temporal Hyperbolic Graph Representation Learning for Scale-Free Internet Routing and Delay Prediction
- Skillful high-resolution weather forecasting independent of physical models
- A novel ordinal multi-view aggregation scheme for oak defoliation
- DeltaMCP: Incremental Regeneration via Spec-Aware Transformation for MCP servers
- Adaptive Reservoir Computing for Multi-Scenario Chaotic System Forecasting
- Sequential Neural Probabilistic Amplitude Shaping: Learning the Channel's Language
- No Safe Dose: How Training Data Drives Unsafe Image Generation
- SAM-Enhanced Segmentation on Road Datasets: Balancing Critical Classes in Autonomous Driving
- Convergence of empirical subgradients for optimal transport-based objectives
- Learning to Bid in Repeated Second-Price Auctions with Dynamic Values and Aggregated Feedback
- Which Pretraining Paradigm Better Serves Spatial Intelligence? An Empirical Comparison of Vision-Language and Video Generation Models
- Better heads do not guarantee better binarized constituency parsing
- Do Clinical Models Change Treatment Decisions?
- Chinese Word Boundary Recovery through Character Alignment Projection
- CLEAR-NeRF: Collinearity and Local-region Enhanced Accurate 3D Reconstruction in Unbounded Scenes
- Gradient Step Plug-and-Play Model for Dental Cone-Beam CT Reconstruction
- ST-ColoNet: Spatio-Temporal Colon Segment Recognition via Hybrid Attention and Edge-Guided Feature Learning
- A Wolf in Sheep's Clothing: Targeted Routing Hijacking in Federated RAG
- Long Live The Balance: Information Bottleneck Driven Tree-based Policy Optimization
- Gaussian Processes with Sample Paths in Reproducing Kernel Banach Spaces
- Benchmarking Inductive Biases for Multivariate Time-Series Anomaly Detection with a Robust Multi-View Channel-Graph Detector
- EigeNet: Geometry-Informed Multi-Modal Learning for Few-shot Novel View RIR Prediction
- Revisiting Change Detection Methods for their Application to Serac Fall Time-Lapse Monitoring
- Qwen-Image-Bench: From Generation to Creation in Text-to-Image Evaluation
- BuddyBench: A Privacy-Constrained Multi-Task Benchmark for Pediatric Social-Communication Personalization
- ATLAS: All-round Testing of Long-context Abilities across Scales
- Mind the Gap: Mixtures of Gaussians in Approximate Differential Privacy
- Diagnosing the conditional-mean barrier in scientific machine-learning surrogates
- Measure-to-measure Regression with Transformers
- PINE: Pruning Boosted Tree Ensembles with Conformal In-Distribution Prediction Equivalence
- PromptEmbedder: Efficient and Transferable Text Embedding via Dual-LLM Soft Prompting
- Verifiable Benchmarking of Long-Horizon Spatial Biology
- I Hear, Therefore I Trust: A Socio-Technical Investigation of Humans as Synthetic Speech Detectors
- Unified Synthesis of Compositional Speech and Sound from Free-Form Text Prompts
- ConvMemory: A Lightweight Learned Memory Reranker, a Negative Attribution Result, and a Research-Preview Conflict Editor
- Challenges in Explaining Pretrained Clinical Text Classifiers
- Prompting Is All You Need: Multi-view Prompting Large Language Models for Aspect-Based Sentiment Analysis
- On the Learnability of Test-Time Adaptation: A Recovery Complexity Perspective
- RW-TTT: Batched Serving for Request-Owned Test-Time Training State
- Knowledge Dependency Estimation for Reliable Question Answering
- MemCog: From Memory-as-Tool to Memory-as-Cognition in Conversational Agents
- Relevant Is Not Warranted: Evidence-Force Calibration for Cited RAG
- Personality, Role, and Expressive Style in Large Language Models: An Interactionist Analysis
- MTAVG-Bench 2.0: Diagnosing Failure Modes of Cinematic Expressiveness in Multi-Talker Audio-Video Generation
- Clark Hash: Stateless Sparse Johnson-Lindenstrauss Quantization for Neural Embeddings
- PetroBench: A Benchmark for Large Language Models in Petroleum Engineering
- MIRA: A Bilingual Benchmark for Medical Information Response Audit
- VCap: Hypergeometric Rewards for Weak-to-Strong Visual Captioning
- Beyond pass@k: Redundancy-Aware RLVR for Multi-Sample Code Generation
- AOE: Exhaustive Out-of-Distribution Detection via Recalibrating Outlier Labels
- Dual-branch Distilled Transformer for Efficient Asymmetric UAV Tracking
- Enhancing Ultra-low-field MRI with Segmentation-guided Adversarial Learning
- Automated Estimation of Impact Time, Impact Location, and Shuttlecock Speed in Badminton Smashes Using Event Cameras
- Confidence-Orchestrated Self-Evolution against Uncertain LLM Feedback
- Learning Compositional Latent Structure with Vector Networks
- An Empirical Audit of k-NAF Budget Accounting for Anchored Decoding
- Patched-DeltaNet: Token-Level Event-Driven Memory for Linear-Time Anomaly Detection
- Gradient-Flow Optimization as Dynamic Random-Effects Inference: Testing and Early Stopping with Applications to Deep Learning
- The Model Shape Behind Scaling Laws: A Gradient Superposition Perspective
- Auditing Stance Asymmetry in Generative Explanations
- An Evolutionary Approach for Designing Stable and Highly Expressible Low-Immunogenicity Therapeutic mRNA Sequences
- STAB: Specification-driven Testing for Algorithmic Bottlenecks
- Periodic RoPE for Infinite Context LLMs
- Geometry of Human Perceptual Domains Emerges Transiently in LLM Representations
- Boundary Suppression Asymmetry in Post-trained Assistants: Over-expansion as a Controllability Cost
- Adapting Automotive Aerodynamics Surrogates to New Vehicle Families via Transfer Learning
- Bridging the Generalization Gap in Adverse Weather Segmentation: A Training Recipe Perspective
- DisasterBench: Benchmarking LLM Planning under Typed Tool Interface Constraints
- Con-DSO: Learning Short-Horizon Consistency Priors for RGB-D Direct Sparse Odometry
- Evaluating the Feasibility of Inferring Dietary Behavior Change Receptivity from Egocentric Images of Eating Environment
- Is Backpropagation Optimal? When Synthetic Gradients Improve Sample Efficiency
- From Talking to Singing: A New Challenge for Audio-Visual Deepfake Detection
- Quantum principal component analysis without eigenvector recovery
- SEMAGIC: Learning Semantically Consistent Deformable 3D Representations from In-the-Wild Images
- Machine learning enables experimental access to photon-by-photon arrival times in scintillation detectors
- DiagramRAG: A Lightweight Framework to Retrieve Scientific Diagram for Figure Generation
- Exploratory Experience Shapes the Geometry of Predictive Representations
- SIGMA: Semantic-Difference Instruction-Grounding Mask Annotator for Text-Driven Image Manipulation Localization
- Do We Really Need Quantum Machine Learning?: A Multidimensional Empirical Study
- Show, Don't TELL: Explainable AI-Generated Text Detection
- Frequency-Guided Action Diffusion via Sub-Frequency Manifold Traversal
- Where LLM Annotators Fail: Label-Free Learning on Graphs with LLMs
- Privately Estimating Monotone Statistics in Polynomial Time
- SuiChat-CN: Benchmarking Contextual Suicide Risk Assessment in Chinese Group Chats
- ESC-Skills: Discovering and Self-Evolving Skills for Emotional Support Conversations
- Dr-CiK: A Benchmark testing Deep Research for Context-Aided Forecasting
- SIGMA: Bridging Structural and Distributional Gaps for Vision Foundation Model Adaptation
- FedEHR-Gen: Federated Synthetic Time-Series EHR Generation via Latent Space Alignment and Distribution-Aware Aggregation
- SmartDirector: Keyframe-Conditioned Cinematic Video Generation with Narrative Pacing Control
- PortBench: A Correlation-Aware, Full-Pipeline Benchmark for LLM-Driven Portfolio Management
- A Road-Conditioned Traffic Movie Prediction Network with Spatiotemporal and Structure-Consistent Learning
- Narrative Flattening: How Post-Training Compresses Thematic, Affective, and Stylistic Variation in LLM Fiction
- SPAR: Support-Preserving Action Rectification
- Beyond Phones: Structured Phonemic Modeling for Vietnamese Automatic Speech Recognition
- MERIT: Matching Expertise via Rubric-Informed Training for Reviewer Assignment
- From Detection to Mechanism: Cross-Attention Graph Neural Networks Enable Drug-Drug Interaction Type Prediction An Ablation Study with Acetylsalicylic Acid Validation
- DecomposeRL: Learning to Ask Useful, Informative, and Diverse Questions for Semi-Supervised, Traceable Claim Verification
- Fine-Tuned LLM as a Complementary Predictor Improving Ads System
- ClothTransformer: Unified Latent-Space Transformers for Scalable Cloth Simulation
- TCP-MCP: Landscape-Guided Co-Evolution of Prompts and Communication Topologies for Multi-Agent Systems
- Snippet-Driven Supply Chain Discovery with LLMs: Scaling Visibility in China
- A self-supervised learning approach to deep filter banks for texture recognition
- LoSATok: Low-Dimensional Semantic-Acoustic Tokenizer for Cross-Domain Audio Understanding and Generation
- Symmetry Defeats Auditing
- CAREF: Calibration-Aware Regularization for Explanation Faithfulness Without Rationale Supervision
- Playing with Words, Improving with Rewards: Training Language Models for Creative Association
- Decentralized Parameter-Free Online Learning with Compressed Gossip
- Operational AI Deployment Assurance: Governance-State Orchestration Under Threshold-Sensitive Deployment Conditions -- A Governance Framework for High-Stakes AI Systems
- Pattern Recognition Tasks with Personalized Federated Learning
- Constrained Auto-Bidding via Generative Response Modeling
- TARQ: Tail-Aware Reconstruction Quantization for Rare-Word Robust Automatic Speech Recognition
- ChildEval: When large language models meet children's personalities
- CuriosAI Submission to the CASTLE Challenge at EgoVis 2026
- GraD-IBD: Graph Representation Learning from Diagnosis Trajectories for Early Detection of Inflammatory Bowel Disease
- Benchmarking Ultrasound Foundation Models for Fetal Plane Classification
- Learning to target with network interference
- Knowing When to Ask: Segment-Level Credit Assignment for LLM Tool Use
- Long Live the Librarian! A Persistent Search Sub-Agent for Energy-Efficient Multi-Agent Software Engineering Systems
- Locality-Aware Redundancy Pruning for LLM Depth Compression
- Revisiting ML Training under Fully Homomorphic Encryption: Convergence Guarantees, Differential Privacy, and Efficient Algorithms