Papers
Mon 31 Aug 2026
616 papers
- PPTBench: Can Coding Agents Reconstruct the Visual World through Structured, Editable SlidesLLM agents and tool use → Multimodal and embodied agents
- Decoupling Knowledge and Privacy: Post-Task Self-Distillation Replay for LLM Continual LearningKnowledge distillation → Distillation for continual learning
- Multi-Agent Debate for Explainable Trading: Reasoning, Consensus, and Performance in Simulated MarketsLLM reasoning → Reasoning for agents, planning and code +1
- Understanding and Exploiting Initialization Anchoring Weakness in Feedback-Based Agent PlanningLLM agents and tool use → Agent threats, guardrails and governance
- EvLink: Source-Grounded Evidence Linking for Graph RAGLLM reasoning → Knowledge- and tool-augmented reasoning +1
- Fair Like Us? Auditing LLM Alignment in Resource AllocationLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- PII-TRACE: A Benchmark for Context-Aware PII Detection in Multi-Turn LLM ConversationsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Improving Parameter Utilization by Sharing Neural Experts Across Layers in TransformersMixture-of-experts → Expert routing strategies
- Seeing What the Vehicle Sees: Video-Augmented Virtual Reality for Physical Autonomous VehiclesEnd-to-end autonomous driving → Generative simulation for driving
- AgenticGen: Reward-Guided Agentic Video Generation for AdvertisingLLM agents and tool use → Multimodal and embodied agents +1
- CrossModalQA: A Cross-modal and Multi-hop Benchmark for Multimodal Retrieval-augmented GenerationMultimodal LLMs / vision-language models → Document understanding and multimodal RAG +1
- Emergent Goal-Directed Attention in Large Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- The Failure Happens Before the Drift: The Social Dynamics of Values in LLM Agent SocietiesLLM agents and tool use → Social simulation and multi-agent debate
- When and What to Teach: Budget-Aware Online Adaptation for Web AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Reasoning-Aware Compression: Identifying and Protecting Vulnerable Reasoning Circuits for Energy-Efficient LLM DeploymentLLM reasoning → Test-time compute and efficient thinking +1
- SCAFFOLD: Self-Improving Web Agents via Recursive Parametric Skill AbstractionLLM agents and tool use → Web, search, and research agents
- Memory as Infrastructure: Reliability Engineering for Persistent Agent Memory in Months-Long LLM-Assisted DevelopmentLLM agents and tool use → Agent memory systems
- Context Inference Attacks Without JailbreaksLLM agents and tool use → Agent threats, guardrails and governance +1
- How Fast Do Agents Rot? An Empirical Study of Long-Horizon Degradation in LLM Agents for Production Decision-MakingLLM agents and tool use → General LLM agent frameworks and benchmarks
- Beyond Textual Chain-of-Thought: A Survey on Action-Grounded Reasoning in Autonomous DrivingLLM reasoning → Chain-of-thought reasoning for driving
- PRO-Step: Step-level Process Reward Optimization for Retrieval-Augmented GenerationLLM reasoning → Knowledge- and tool-augmented reasoning +2
- NeoMME: A Single-Tower Multimodal-Native Multilingual Foundation Encoder for Efficient Fine-Tuning and InferenceMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Validity-Aware Jailbreak Evaluation for Large Language ModelsLLM safety and security → Jailbreaking
- Beyond Token Positions: Safety Alignment Across Denoising Steps in Diffusion Language ModelsDiffusion models → Discrete and text diffusion +2
- EvoFlint: An Evolutionary Atlas of Multi-Turn LLM VulnerabilitiesLLM safety and security → Prompt injection and agent security
- EGT-KG: Evidence-Grounded Typed KG Retrieval for Practical Scientific QA with Small Language ModelsRetrieval-augmented generation → Medical and biomedical RAG
- Exploring Collaboration between a language and a non-language agentLLM agents and tool use → Reinforcement learning for LLM agents
- TRIS: A Tri-Layer Retrieval Integrity Sieve Against Knowledge PoisoningRetrieval-augmented generation → Privacy and security of RAG
- Does Reasoning Mitigate Backdoor Attacks? A Neuro-Symbolic PerspectiveLLM reasoning → Reasoning for agents, planning and code +1
- Can LLMs Use Relational Transformer Embeddings?LLM reasoning → Test-time compute and efficient thinking
- Towards a Belief-Based World Model for LLM AgentsWorld models → World models for language agents +1
- HBQ: Hierarchical Scaling Block Quantization with Hardware-Efficiency-Aware Design for Accurate LLM InferenceEfficient LLM inference and serving → KV cache quantization
- Capability-Gated Language Models: Security Composes, Utility Does NotLLM safety and security → Safety alignment, refusal and guardrails
- SAGE: State-Grounded, Abstention-Aware Evaluation of Task-Oriented Dialogue AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- SpecMind: Enabling Spectrum Intelligence via Multi-Agent Hybrid Retrieval-Augmented GenerationRetrieval-augmented generation → Agentic RAG, agents and memory
- DynaNDE: Dynamic Near-Data Expert Scheduling for Batched MoE InferenceMixture-of-experts → Efficient MoE training and inference systems
- RestoreBench: Can AI Agents Restore Power Flow Convergence?LLM agents and tool use → Financial trading and forecasting agents
- FoldingAgent: Inferring Parametric Origami Procedures from Demonstration VideosLLM agents and tool use → Multimodal and embodied agents
- Dr. Claw: An AI Scientist Workspace for Vibe ResearchLLM agents and tool use → Software engineering coding agents
- Vision Is Not Overhead: One-Pass Block Drafting for Lossless Speculative Decoding in Vision-Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- Geometry-aware Latent Autoregressive Generative Model for PDEs in Complex DomainsDiffusion models → Flow matching, time series and science
- Toward Workflow-Aware Benchmarking for Healthcare NLP AgentsLLM agents and tool use → Medical and scientific domain agents
- Slow to See, Slow to Suppress: Understanding the Effects of Modality in Context-Memory ConflictsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- WiSDoM: Wireless Sparse Decision Transformer with Mixture-of-Experts for Multi-Task Mobile Network OptimizationMixture-of-experts → Expert routing strategies +1
- Exact Global MCMC with Denoising DiffusionDiffusion models → Diffusion foundations and sampling
- The Irreversibility Budget: Fleet-Level Risk Accounting and Admission Control for Agent Operating SystemsLLM agents and tool use → Software engineering coding agents
- Delegation Without Trust: An Empirical Gap Analysis of Identity, Authorization, and Runtime Governance in Multi-Agent LLM SystemsLLM agents and tool use → Agent threats, guardrails and governance
- The Answer Is Not the ArgumentLLM reasoning → Prompting and chain-of-thought reasoning
- Spec-Driven Development for Agentic Software Engineering: Harnessing Human-Agent TeamworkLLM agents and tool use → Software engineering coding agents
- Hypotheses-Guided Self Distillation for Continual PersonalizationKnowledge distillation → On-policy and self-distillation for LLMs
- Invalidation Contracts for Cross-Episode Agent MemoryLLM agents and tool use → Agent memory systems
- CoLT-Drive: Counterfactual Long-Tail Benchmarking and Knowledge-Preserving Adaptation for Driving Affordance PredictionEnd-to-end autonomous driving → Reasoning VLA and VLM driving policies
- Learning What to Retain: Gated-Memory Routing for Efficient Collaboration in Multi-Agent LLM SystemsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Beyond Blind Compliance: Benchmarking Task Verification in OCR ReasoningLLM reasoning → Multimodal reasoning +2
- Beyond Language Priors: Diagnosing and Fixing Visual-Origin Hallucinations in Multimodal LLMMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- Uncovering and Mitigating Aggregation-Induced Reward Hacking in Multi-Reward Reinforcement LearningLLM alignment / RLHF / preference optimisation → Reward hacking and misspecification +1
- Distributed Implicit Harm: A Compositional Safety Blind Spot in MLLM-Based Video ModerationMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- A Lagrangian View of Flow MatchingDiffusion models → Flow matching, time series and science
- Provably Efficient Federated Reinforcement Learning with Linear Function Approximation and Logarithmic Communication CostDeep reinforcement learning methods → RL for energy, networks and operations
- LLM-Driven Autonomous Vehicles Inherit Human Driver Biases in Pedestrian Yielding: Results and Implications From A New BenchmarkEnd-to-end autonomous driving → VLMs for autonomous driving
- ZimaBlue: Evolving Generalizable World Action Models through Scalable Video Pre-trainingWorld models → Embodied and robot world models
- Do General NLP Embeddings Capture Ontological Reasoning?LLM reasoning → Knowledge- and tool-augmented reasoning
- IMPACT: Attention Is the Interaction Map for Scalable Interaction-Aware World Model TrainingWorld models → Embodied and robot world models
- Lingua Franca or Probing Artifact? Rethinking Latent Language in Multilingual LLMsLLM reasoning → Reasoning benchmarks and evaluation
- Qwen-Drive-1.0: An Initial Step towards a Vision-Language Foundation Model for Autonomous DrivingMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection +1
- Deploying and Evaluating a Smart-Agriculture Agentic Engine for Full-Season Soybean Farm OperationsLLM agents and tool use → Multimodal and embodied agents
- Good Memory Has ECC: Evaluating the Memory of Vision-Language Models Beyond AccuracyMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- Generative artificial intelligence for reliable mechanistic reasoning for corrosionLLM reasoning → Clinical and biomedical applications
- Assessing Alignment and Stability of Feature Importance Explanations via Weight of EvidenceLLM reasoning → Reasoning benchmarks and evaluation
- Framework and Benchmark for Code-Driven Agentic Testing in Web DevelopmentLLM agents and tool use → Software engineering coding agents
- Configurable Semantic Chunking for Biomedical Information Extraction in Retrieval-Augmented GenerationRetrieval-augmented generation → Medical and biomedical RAG
- DIASENTINEL: An Auditable Multi-Agent System for Guideline-Grounded Diabetes Risk ScreeningLLM agents and tool use → Medical and scientific domain agents
- When Does Bigger Help? A Controlled Study of LLM Scale for Ontology LearningMixture-of-experts → MoE large language models
- Aspire: Can Models Self-Evolve from Vague Goals?Synthetic data and self-improvement for LLMs → Self-evolving LLM agents
- S3Gym: Can LLMs Turn Self-Testing and Self-Judging into Self-Improvement?Synthetic data and self-improvement for LLMs → Self-rewarding alignment and self-training
- Agentic Context Cracking: Token-Efficient Data Reasoning Agents via Adaptive Structuring of Unstructured DataLLM reasoning → Knowledge- and tool-augmented reasoning +1
- Sycophantic Agreement Transfers with Neutral Data via Contrastive Preference OptimizationLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Reconciling Process Supervision with Outcome-Based Credit in Agentic Policy OptimizationLLM agents and tool use → Reinforcement learning for LLM agents
- Learning to Evaluate Before Improving: Automatic Rubric Induction for Automatic Research AgentsLLM agents and tool use → Web, search, and research agents
- Scaling Large Reasoning Models beyond Human Supervision: A Path toward SuperintelligenceLLM reasoning → Reinforcement learning for reasoning
- A Model with No Head and Many ThoughtsLLM reasoning → Test-time compute and efficient thinking
- Wrong Prediction, Right Answer: Recovering Evidence from Collapsed LLM Sequence ScoresLLM reasoning → Test-time compute and efficient thinking
- Every Token Leaves a Ripple in the Stream of Thought: Eliciting Model-Internal Token Saliency for Chain-of-Thought CompressionLLM reasoning → Test-time compute and efficient thinking
- Measure Before You Manage: Evaluating Agent Working Memory in Coding AgentsLLM agents and tool use → Agent memory systems
- Identity-Conditioned Latent Consistency Distillation for Face SynthesisDiffusion models → Image generation, text-to-image and editing
- Does On-Policy Distillation Really Distill? From Noisy Teacher to Self-ImprovementKnowledge distillation → On-policy and self-distillation for LLMs
- Driving on MemoryEnd-to-end autonomous driving → End-to-end system architecture
- Evidence-Bounded Mental Health Reasoning from Heterogeneous Speech ProtocolsLLM reasoning → Clinical and biomedical applications
- Language-Informed Flow Matching for Trend-Guided Structure-Based 3D Molecular GenerationDiffusion models → Flow matching, time series and science
- Faithfulness Is Not Free: Auditing Offline KV-Cache Quantization in Retrieval-Augmented GenerationRetrieval-augmented generation → Generation and context integration +1
- Controlling Refusal Behavior of LLMs via Stiefel-Constrained Rotation SteeringMechanistic interpretability → Steering and probing for LLM safety
- A Human-in-the-Loop Autonomous Agent for Industry Time Series ForecastingLLM agents and tool use → Financial trading and forecasting agents
- LOCI: A Locator-Critic with Refinement LoopMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- One Policy Is Enough: Single-Agent Reinforcement Learning Outperforms Tree Search for Chemistry Tool LearningLLM agents and tool use → Medical and scientific domain agents +1
- Detecting AI Impostors: How Do Middle Schoolers Identify LLM Agents in a Live Collaborative Setting?LLM agents and tool use → Social simulation and multi-agent debate
- Evidence, Logic, and Compliance: Multi-Agent Structured Graph Reasoning with Expert Arbitration for Medical ReferralLLM reasoning → Clinical and biomedical applications +1
- Stride-k Subsampling: Train-Free Audio Token Reduction for WhisperEfficient LLM inference and serving → Audio and omni-modal token compression
- TRIPPULSE: Multi-Agent Travel Planning with Review-Grounded ReasoningLLM reasoning → Reasoning for agents, planning and code +1
- CARVE: Verified Expansion for Variable-Length Generation in Diffusion Language ModelsDiffusion models → Discrete and text diffusion
- Decoupled Latent Flow Matching for Few-Step Joint Vocal-Accompaniment SeparationDiffusion models → Audio, speech and music
All 616
- S3C-LLM: Skill-Code Guided Agentic Language Models for Spectrum-to-Structure ElucidationLLM agents and tool use → Medical and scientific domain agents
- MMDS-Bench: Benchmarking Multimodal Large Language Models on Dynamic Stance in Social Media InteractionsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Low-Resource Preference Adaptation of LLMs via Activation-Based Label PropagationLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- CAER: Causal Action Effect Reweighting for World Model TrainingWorld models → Embodied and robot world models
- Playability-Aware Audio-to-Tablature Guitar Transcription via Diffusion ModelsDiffusion models → Audio, speech and music
- Thesis Proposal: Toward a Human-Centered and Perspective-Aware Framework for Reproducible ML Evaluation and AI AlignmentLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- HSRM: Hidden-State Reward Models for Test-Time VerificationLLM reasoning → Test-time compute and efficient thinking +1
- What Emerges and What Breaks in Self-Play DrivingEnd-to-end autonomous driving → Imitation-learning end-to-end planners
- TopoCompress: Long Context Compression via Graph-Wired Semantic TrajectoriesEfficient LLM inference and serving → Prompt and context compression
- Schwarz: Solver-Aware Agentic Program VerificationLLM agents and tool use → Educational agents and math problem solving
- PixelIR: Fidelity-Perception Decoupling via Pixel-Space Image-Residual Flow Matching for Efficient One-Step Real-World Super-ResolutionDiffusion models → Inverse problems and image restoration
- T3S: Improving Multi-Task Reinforcement Learning with Task-Specific Feature Selector and SchedulerDeep reinforcement learning methods → Deep RL algorithms and representations
- PRACTICE: From Experience to Expertise in Self-Evolving Embodied AgentsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +2
- CheXGround: Anatomical Region Tokens for Grounded Longitudinal Chest X-ray InterpretationLLM reasoning → Clinical and biomedical applications +1
- Autoregressive Mosaics: Probing 2D Spatial Reasoning in Text-Only Language ModelsLLM reasoning → Spatial and embodied reasoning
- Do VLMs Share Safety Neurons Across Modalities?Multimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- The Fragility of Jailbreak Robustness Across Operational StatesLLM safety and security → Jailbreaking
- E-Commerce Bench: Evaluating LLM Agents on Long-Horizon Autonomous Business OperationLLM agents and tool use → Social simulation and multi-agent debate
- Multimodal Adaptive Expert Selection with Text Routing and Ordinal Prototype Optimization for Sentiment AnalysisMixture-of-experts → Multimodal MoE models
- BAITBENCH: Measuring Agent Reward Hacking with Optional Shortcuts Planted in ML TasksLLM agents and tool use → Software engineering coding agents +1
- Mind the Gap: Theory-of-Mind-Grounded Friction for Epistemic AlignmentLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- GUIDE: Guiding Internal Evidence with Language InstructionsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- VisLens: Single-Pass Interpretable Visual Search for Multimodal LLMsMultimodal LLMs / vision-language models → Document understanding and multimodal RAG +1
- SingProbe Technical ReportLLM safety and security → Safety alignment, refusal and guardrails
- An Agentic Retrobiosynthesis Framework with Learned Frontier SelectionLLM agents and tool use → Medical and scientific domain agents
- A Phased Workflow for Operating LLM-Based Coding AgentsLLM agents and tool use → Software engineering coding agents
- Can Video World Models Track Unobserved World States?World models → Video-generation world models and simulators
- Beyond the Payload: How User Invocation Shapes Coding Agent Vulnerability to Repository PoisoningLLM agents and tool use → Agent threats, guardrails and governance
- ATLAS: Dual-Horizon Diagnostic Evaluation for Industrial Tool-Use AgentsLLM agents and tool use → Tool learning and function calling
- LCoT-GV: Graph Attention Networks for Verifying Long Reasoning Chains in Large Language ModelsLLM reasoning → Knowledge- and tool-augmented reasoning
- OCR-MetaReasoning Benchmark: Evaluating the Meta-Reasoning Ability of MLLMs in Text-Rich Image UnderstandingLLM reasoning → Multimodal reasoning +1
- CIG-RL: Curiosity-Driven Information-Guided Reinforcement Learning for Source Term Estimation in Uncertain EnvironmentsDeep reinforcement learning methods → RL theory and sample complexity
- HiRS-Agent: A Hierarchical Multi-Agent System for Reliable Long-Horizon Remote Sensing Task SolvingLLM agents and tool use → Multimodal and embodied agents
- MURANO: Design, Run, and Reproduce Mechanistic Interpretability Experiments as Composable PipelinesMechanistic interpretability → Knowledge and representations inside LLMs
- SwarmBench: Can Large Language Models Act as Agent Swarm Orchestrators?LLM agents and tool use → General LLM agent frameworks and benchmarks
- LLM-based Hardware Development with Hierarchical IRs and End-to-End Multi-Agent WorkflowLLM agents and tool use → Software engineering coding agents
- Fine-Grained Multi Image Object Hallucination BenchmarkMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- Geometry of Divergence: Tracking Hidden-State Trajectories for Adaptive Multi-Turn ReasoningLLM reasoning → Test-time compute and efficient thinking +1
- Where Identity Lives: Localized, Retain-Free Identity Unlearning in Multimodal Large Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- What It Costs to Compose, Rebuild, and Correct Precomputed MemoryEfficient LLM inference and serving → KV cache optimization
- BiG-SURE - Bipartite Graph for Semantic Uncertainty and Reliability Estimation of LLMsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Temporal Forcing: 4D Representation Alignment for Vision-Language-Action ModelsVision-language-action models → 3D and spatial-aware VLA
- Three Steps at a Time: Learning Representations from Action Sequences in Contrastive RLDeep reinforcement learning methods → Deep RL algorithms and representations
- Test-time Reinforcement Learning in Imperfect Information GamesDeep reinforcement learning methods → RL training of language and agent models
- GMTS: Gradient Magnitude-based Token Selection Improves RLVR Training for LLM ReasoningLLM reasoning → Reinforcement learning for reasoning
- Hidden Threat in Synthetic Data: Covert Targeted Bias Injection through Benign TextSynthetic data and self-improvement for LLMs → LLM synthetic data generation
- DiffSAC: Diffusion-guided Sampling for Consensus-based Robust EstimationDiffusion models → Inverse problems and image restoration
- PLC-DPO: Posterior Label Correction in Noisy and Ambiguous Preference OptimizationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- The Safety Relay in Roleplay Jailbreaks: A Component-Resolved Causal Analysis of Harm Recognition and RefusalLLM safety and security → Safety alignment, refusal and guardrails
- TuringLLM: Efficiently Scaling Foundation Models Toward Physical AIMixture-of-experts → MoE large language models
- Q-Strata: Hierarchical Bit Allocation for Mixed-Precision Quantization of Mixture-of-Experts LLMsMixture-of-experts → MoE large language models
- AdaPath: Query-Adaptive Path-Finding via Path-Bank for Multi-Hop Implicit Biomedical KGQALLM reasoning → Clinical and biomedical applications
- Behavior-Skill: A Fine-Grained Benchmark for Evaluating Vision-Language-Action Policies in Long-Horizon TasksVision-language-action models → Failure recovery and robustness
- DiffPDE: Masked Diffusion Language Models as PDE SolverDiffusion models → Discrete and text diffusion
- WebWorld: The Browser as a World Model for Self-Improving Web CodeWorld models → World models for language agents +1
- PAC: Progress-Augmented Advantage Curriculum for Multi-Task Reinforcement Learning of LLMsLLM reasoning → Reinforcement learning for reasoning
- Local-to-Global Sentence-Level Graph Reranking for Scientific SynthesisRetrieval-augmented generation → Agentic RAG, agents and memory
- Authority-Inference Separation in Agentic Finance: First-Line Control, Blockchain Enforcement, and Replayable AssuranceLLM agents and tool use → Financial trading and forecasting agents
- ScienceArena: Benchmarking LLMs on Latest Scientific Olympiad CompetitionsLLM reasoning → Mathematical reasoning
- CHIPSMORE: Compute-in-Interconnect and -Memory Chiplets for Multi-Mode Multi-Request LLM Inference AccelerationEfficient LLM inference and serving → Serving systems and request scheduling
- CM2: Multimodal Cultural Reasoning via an Integrated Multi-Agent FrameworkLLM reasoning → Multimodal reasoning +2
- VisER: Visual Evidence and Reliance for Object Hallucination Detection in LVLMsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- Agents in the Large: Perception-Centered Architecture for Persistent AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- More Capable, Less Faithful: A Multilingual Analysis of Mathematical (Un)Solvability Detection in LLMsLLM reasoning → Mathematical reasoning
- Enhancing Low-Resource Language Reasoning via High-Resource Language Feature TransferLLM reasoning → Reasoning benchmarks and evaluation
- From Final Artifacts to Trajectories: Retrospective Process Supervision for Evidence-Grounded Long-Form GenerationLLM agents and tool use → General LLM agent frameworks and benchmarks
- Learning Where Outcomes Change:Credit-Addressable Reasoning for Multimodal GeometryLLM reasoning → Spatial and embodied reasoning
- PRIME: Mitigating Subgroup Optimization Competition in Shared CTR Top Networks with Plug-in Residual Input-Conditioned Mixture of ExpertMixture-of-experts → Expert routing strategies
- Confounding Masquerading as Improvement: A Systematic Evaluation of Offline Reinforcement Learning for Stroke Antithrombotic Treatment in a 129,000-Patient RegistryOffline RL and imitation learning from data → Safe offline RL
- ECLIPSE: Self-Evolving Stealthy Prompt Injection Attack against Long-Horizon Agentic SystemsLLM agents and tool use → Agent threats, guardrails and governance +1
- Event-Driven Language Models with Sparse Neural Activity for Neuromorphic HardwareEfficient LLM inference and serving → Early exit and edge inference
- EvoSkill Injection: Red-Teaming Autonomous Skill Generation and Evolution in Self-Evolving AgentsLLM agents and tool use → Agent threats, guardrails and governance +2
- Lies We Can See: Joint Verbal and Non-Verbal Deception by VLM Agents in Embodied Social InteractionsLLM agents and tool use → Social simulation and multi-agent debate
- Ceiling-Clipped Acceptance Histograms Indicate Stranded Speed-up in Block-Diffusion Speculative DecodingEfficient LLM inference and serving → Speculative decoding
- Learning to Reason and Use Tools through Unsupervised Fine-Tuning in Task-Oriented Dialog SystemsLLM reasoning → Reasoning benchmarks and evaluation +1
- DERELAB: Probing Defeasible Reasoning and Confirmation Bias in LLMs with a Generative BenchmarkLLM reasoning → Reasoning benchmarks and evaluation
- Locally-Guided Actor-Critic: Training a Goal-conditioned Actor with a Subgoal-aware CriticDeep reinforcement learning methods → Deep RL algorithms and representations
- Why Are LLM Backdoor Defenses Fragmented? A Feature-Level Explanation with Sparse AutoencodersLLM safety and security → Backdoor and data poisoning attacks
- SemPOI-RL: Aligning LLM Semantic Reasoning for Interpretable Out-of-Town POI Sequential GenerationLLM reasoning → LLM reasoning for recommendation
- Beyond Polarization: The Generative Constraint of Chain-of-Thought in Pointwise RerankingLLM reasoning → Knowledge- and tool-augmented reasoning
- Scaffolding Foundation Models into Physical-World Agents Pushes the Frontier of Long-Horizon NavigationLLM agents and tool use → Multimodal and embodied agents
- When LLM Meets Tree Search: A Systematic View of Inference as Search in Large Language ModelsLLM reasoning → Test-time compute and efficient thinking
- Using Grounded Theory for Agent Behavior Analysis at ScaleLLM agents and tool use → General LLM agent frameworks and benchmarks
- Attesting Outputs and Delegation Ancestry in Multi-Agent AI SystemsLLM agents and tool use → Agent threats, guardrails and governance
- PAVE: Predictive Alignment and Value-Guided Evolution for World-Action PoliciesVision-language-action models → World model-based VLA
- Beyond Consensus: Downward Bias and Role Asymmetry in Multi-Agent LLM Judges for Subjective EvaluationLLM agents and tool use → Social simulation and multi-agent debate
- Augmenting Human Performance with an XR Agent Learning from Online Behavior and BCI EvidenceLLM agents and tool use → Medical and scientific domain agents
- Mode Connectivity Beyond Classifiers: Evidence from Generative and Contrastive ModelsDiffusion models → Diffusion foundations and sampling
- Will the User Ever Know? Covert Indirect Prompt Injection Attacks on Tool-Using LLM AgentsLLM safety and security → Prompt injection and agent security
- Ouroboros: Self-Referential Backdoor Attacks on Speech Enhancement via Clean Audio TriggersLLM safety and security → Audio jailbreaks and speech backdoors
- Ignorance or Incompetence? Constructing Knowledge-Gated, Verifiable Tasks for LLM AgentsLLM agents and tool use → Agent skill learning and evolution
- On the Design of Qwen3.8-Next Architecture: Evaluation, Efficiency, and Training StabilityMixture-of-experts → MoE large language models
- Beyond Token-Level Guidance: Inference-Time Alignment of Specialized LLMs via Cross-Family Representation SteeringMechanistic interpretability → Activation steering methods
- Online Estimation of Dynamic Origin-Destination Matrices Using Reinforcement Learning with Link-Flow Propagation GuidanceDeep reinforcement learning methods → RL for autonomous driving and traffic
- Tail-Replay: Escaping the Curse of Linear Attention in Prefix Caching for Hybrid LLMsEfficient LLM inference and serving → KV cache optimization
- ScenePilot: Grow-and-Repair Policy for Text-Driven 3D Indoor Scene GenerationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Update from Hell: Can Coding Agents Survive Hidden Breakage in Dependency Upgrades?LLM agents and tool use → Software engineering coding agents
- CateKV: On Sequential Consistency for Long-Context LLM Inference AccelerationEfficient LLM inference and serving → KV cache optimization
- CometVLA: Co-Training on an Embodied Data Pyramid towards Physical UnderstandingVision-language-action models → Human-video and latent-action pretraining
- Extracting Knowledge from Tools in LLM AgentsLLM agents and tool use → Tool learning and function calling
- BCPPO: Bachelier-Inspired Constrained Proximal Policy Optimization for Tail-Risk-Aware Safe Reinforcement LearningDeep reinforcement learning methods → Safe and constrained RL
- SimCRAFT: Distilling Remote Sensing Agents via Synthetic Trajectories and Contextual Retrieval-Augmented Fine-TuningLLM agents and tool use → Multimodal and embodied agents
- Centering before Pruning: Lightweight Geometry Correction for Diversity-Based Visual Token Pruning in LVLMsMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- Stratified Consistency Distillation for Natural Language FormalizationLLM reasoning → Reasoning benchmarks and evaluation
- Beyond Surface Forms: Symbolic Edits as a Test for Logical Reasoning with LLMsLLM reasoning → Reasoning benchmarks and evaluation
- Strong Drafts Need Compact Memories: Long-Context Speculative Decoding with Compressed KV CacheEfficient LLM inference and serving → Speculative decoding
- Generating Workflow DAGs from Natural Language with Non-Reasoning LLMsLLM reasoning → Reasoning for agents, planning and code
- Decentralized Strategies for Finite Population LQG Social Control: A Reinforcement Learning ApproachDeep reinforcement learning methods → RL for games and combinatorial optimization
- CanonNav: Disentangling Navigation Behavior from Camera Geometry in Cross-Platform Visual NavigationOffline RL and imitation learning from data → Language-conditioned policies and VLAs
- Motus2: A Self-Evolving General World Model for Dexterous ManipulationWorld models → Embodied and robot world models
- The Differential Reasoning Router: Operationalizing Cost-Aware LLM Annotation in E-commerceLLM reasoning → Reasoning for agents, planning and code
- SPARK: Skeleton-Guided Reasoning Synthesis from Large-Scale Scientific LiteratureLLM reasoning → Knowledge- and tool-augmented reasoning
- Towards a Joint Khmer Text Recognition and Word SegmentationRetrieval-augmented generation → Multimodal RAG
- Frontier vision-language models have overtaken young adults at detecting AI-generated portraits -- but not their calibrationMultimodal LLMs / vision-language models → Social bias and fairness in VLMs
- DICS: Exploring Data Intrinsic Consistency for Visual Instruction SelectionMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- SIR: Self-improving Red-teaming for Compute Use AgentsLLM agents and tool use → Agent threats, guardrails and governance +2
- ALTSTEER: Selective Safety Steering for Moving Beyond Hard Refusals to Constructive AlternativesLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- NoisEasier: Test-Time Noise Optimization for Text-to-Video GenerationDiffusion models → Video generation
- FaVOR: LLM-Based Agentic Framework for Factor Mining via Empirical ValidationLLM agents and tool use → Financial trading and forecasting agents
- GPAgentBench-2K: Benchmarking Large Language Model Agents in Complex Clinical Action SpaceLLM agents and tool use → Medical and scientific domain agents
- A.X K2 Technical ReportLLM agents and tool use → General LLM agent frameworks and benchmarks +1
- Open-Source Autonomous Driving System Analysis and Multi-Disciplinary Hardware-in-the-Loop Research Paradigm with Reinforcement-Learning Testing and Large Language ModelsEnd-to-end autonomous driving → Adversarial scenarios and safety testing
- Understanding Stage-Wise Utility-Risk Trade-offs in LLM Agent MemoryLLM agents and tool use → Agent threats, guardrails and governance
- Doc-REFRAG: Rethinking Multimodal Document Retrieval-Augmented GenerationRetrieval-augmented generation → Multimodal RAG
- Reinforcement Learning for Symbolic Equation SolvingDeep reinforcement learning methods → Interpretable and logic-guided RL
- Reactivating Test-Time Scaling for Plane Geometry Problem SolvingLLM reasoning → Spatial and embodied reasoning
- CAST: Critique-Aware Supervision for Training Reliable Long-Horizon Tool-Calling AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Rethinking Language's Role in Efficient VLA for Autonomous Vehicles: Toward Smarter, Trustworthy DrivingLLM reasoning → Chain-of-thought reasoning for driving +2
- Balancing Privacy, Utility, and Safety in LLM Alignment through Preference OptimizationLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Verification-Aware Training for Speculative DecodingEfficient LLM inference and serving → Speculative decoding
- E-SENS: Exclusion-Sensitive Penalization for Negative-Constraint RetrievalRetrieval-augmented generation → Generation and context integration
- VIBE: Video Instruction-aligned Background music gEnerationLLM alignment / RLHF / preference optimisation → Preference alignment for recommenders and RAG
- Aligning Multi-Trajectory Supervision with Policy Optimization for VLA DrivingLLM reasoning → Chain-of-thought reasoning for driving +3
- TopoFuse: Topology-Aware Tri-Planar Fusion for 3D Cryo-Electron Tomography Segmentation
- Revalidation Beats Stateful Routing for Scientific Surrogates Under Distribution Shift
- RAPTOR: RAndom-projection Physics-informed Transient sOlveR
- Three Ways Classical Test Theory Can Mislead About LLM Judges
- Safety-oriented pedestrian trajectory prediction at urban intersections using time-to-collision and crossing-zone context
- An Agnostic Sample Compression Scheme for Squared Loss of Near-Linear Size in the Fat-Shattering Dimension
- Bandit Multiclass PAC Learning: Corrected Lower Bounds, Exact Families, and a Confidence Direct-Sum Phenomenon
- Predicting Symptoms of Amotivation and Anhedonia among University Students with a Novel Oversampling Method
- DP-IPI: A Hybrid Differential Privacy Text Rewriting Mechanism for Indirect Personal Identifiers in Clinical Texts
- Sequential knowledge editing breaks a model's ability to tell good evidence from bad, without costing it accuracy
- Reconstruction of 4D Mitral Regurgitation Hemodynamics from Sparse Planar Data using Deep Operator Networks with Test-Time Adaptation
- ViCo: Visual-oriented Coding with Self-Reflection for Chart Replication
- Lensless Gaze Is Not Private by Default: Auditing Identity Leakage Across Disclosure Surfaces
- M2LG-DG: A Multi-modal Local-Global Domain Generalization Framework for Cross-site Major Depressive Disorder Classification
- Integrating Unimodal and Vision-Language Representations in Latent Space for Multi-Label Chest X-Ray Classification
- Robots Influencing Humans to Reveal their Goals during Collaboration and Competition
- An Exploratory Study of Frequency-Aware Task Weighting for YOLOv8-Based Unified Driving Perception
- AVENUE: Audio-Video EditiNg Understanding and Evaluation
- Judging LLM-as-a-Judge: Concerning Rubric Artifacts in LLM-based Automated Text Generation Evaluation
- SISER: Speaker-Invariant Speech Emotion Recognition with Entropy-Based Adversarial Training
- Listen to the Latents: Self-Correcting Speech Recognition in Large Audio Language Models Through Hidden-State Interactions
- Not All Agreement Counts as Corroboration: Provenance-Conserving Multi-View Fusion for Typed Action Admission in Human-Robot Collaboration
- From Feature Interaction to Feature Transport - A Unified Block for Scalable Recommendation Models
- Human-Anchored Factuality Evaluation with Strategic Annotation
- The Privacy-Hallucination Tradeoff in Differentially Private Language Models
- MemeBridge: A Dataset for Benchmarking and Mitigating the Bidirectional Cultural Gap in Meme Interpretation
- A hybrid quantum-classical neural network for learning to route
- AdaptNTK: Adaptive Uncertainty Quantification and Active Learning for Neural Network Potentials
- Are Near-Tied LLM Rankings Robust to Family-DIF-Guided Benchmark Recomposition?
- Less Is More: Balancing Positive and Negative Space in Visual Concept Blending
- Fractal dimension predicts quantum kernel collapse in angle-encoded data
- Expert-like Bone Ultrasound Segmentation through Expert-in-the-loop Mask-conditioned Progressive Learning
- Higher Structures in Deep Learning
- Operational Regimes in Non-Convex Optimization: A Multiplier-Based Taxonomy
- SAM3-LoRA: Parameter-Efficient Adaptation of a Concept-Promptable Foundation Model for Multi-Class Structural Defect Segmentation
- Toppling the Hierarchy in Byte-level Language Modeling
- Context Window Failures in Relational Foundation Models
- Location-Aware Language Models via Secondary Embeddings
- mimeo: Compiling Public Expert Corpora into Agent Skills and Testing What Transfers
- Investigating Hyperparameter Optimization and Transferability for ES-HyperNEAT: A TPE Approach
- Instance-Guided Report Anchoring for Text-Free 3D Abnormality Segmentation in Chest CT
- CRAD: Class-wise Reliability-Aware Distillation for Decentralized Heterogeneous Federated Learning
- Group Adaptive Clipping Policy Optimization
- (V)LMs generalize beyond surface co-occurrence: Evidence from cross-modal number agreement
- Conversation Coach: A Voice-enabled AI System that Helps Practice Difficult Workplace Conversations
- Physiological Information Reliability: Cross-Layer Adaptive Resource Allocation for Cardiovascular Sensing
- Accelerating Chemical Kinetics for Exoplanet Atmospheres using Neural Networks
- How Temporal Correlations Shape Memory in Linear Recurrent Neural Networks
- Late Transformer Layers Recode Syntax Canonically: Evidence from Greek Scrambling and Cross-Layer Generalisation
- Unmasking Face Embeddings: Reading, Rendering and Naming with Foundation Models
- A Multi-Branch Feature Fusion Approach for Health Misinformation Detection and Propagation
- A convolutional framework for detecting event-driven dynamics in energy price series
- SlideMix: Enhancing Whole Slide Image Analysis via Multimodal Shuffling
- NeuroPriv: Adversarial Representation Learning for Privacy in Wearable EEG Systems
- Hidden relationships in a document-derived property graph: top-k chunk embeddings and inverse-distance weighting over a dynamically evolving ontology
- Adapting Without Gradients: Affine Statistics Transport and What Its Certificate Can Tell You
- Towards unsupervised representation learning for quantum data: quantum models with inference and generation
- Puppeteer: Object-Grounded Posture-Aware Co-Speech Gesture Generation
- Detoxifying Toxic Communication: A Design Science Approach to Responsible AI
- Where Should Experience Live? Hierarchical Hebbian Memory for Continual Vision Transformers
- Do LLMs Know Your Neighborhood? Auditing LLM Priors for Neighborhood-Level Mobility Prediction and Structural Alignment
- From Tool Use to Technological Agency: LoopCAT as a Local-First, Open-Source Tool for Translation Technology Education
- SlideBank: A Persistent Hierarchical Evidence Bank for Consistent Whole-Slide Reasoning
- Two tests of phase-structure features for transition prediction
- Latent-Space No-Arbitrage Geometry of Generative Models for Implied Volatility Surfaces
- Latent Mechanisms of Language Control in Multilingual Language Models
- A Human-AI Theorem Connecting Spontaneous and Field-Induced Mechanisms of Collective Behavior in One Dimension
- Sources of Truth: A Multi-Platform, Multilingual Audit of Citations in AI Mental Health Information Queries
- Emotional Labor Strategy Preferences in LLM Personas
- Workload Identification with Physical Side Channels for AI Governance
- The Assistant's Ideal Self
- TRUST: Threshold-Recalibrated Uncertainty-Safe Training for Certified Dismissal in Breast Cancer Screening
- StreamScout: Learning When to Look Deeper for Streaming Video Understanding
- Lightweight Adaptation of EEG Foundation Models for Stroke Motor Imagery Decoding: Domain Shift and Subject-Level Robustness
- Cleaner Speech, Weaker Generalization: Revisiting Pitt-Derived Benchmarks for Alzheimer's Disease Detection
- Autoresearch for Marketplace Catalogs: From Legacy Forms to AI-Native Matching
- CrossFeat: Bridging Imaging Modalities in Feature Descriptor Space
- NSIDDx: A Design Framework for Neuro-Symbolic, Practitioner-First Differential Diagnosis in Low-Resource Settings
- CompanionSim: Synthetic Data for Evaluating Anthropomorphism in Human-AI Relationships
- Authority Bias in Conversational Search Engines for Academic Paper Recommendation
- LOOMSUM: Weaving Quantitative and Narrative Evidence for Faithful Long Text-Table Summarization
- Bridging Lexical Divergence: LLM-Assisted, Cost-Efficient, Zero-shot Scientific Entity Linking
- Don't Let the Model Write the YAML: Deterministic, Minimal-Diff GitOps Remediation from LLM-Proposed Field Changes
- ConvDeck: Conversational Paper-to-Slide Generation via Stage-Specific User Feedback
- QTEA: Ternary LLMs with Sparse Residual Salient Weight and By-Column Optimization
- LLM-as-a-Demographic: Whom Sociodemographic Prompting Helps, and Whom It Hurts
- AI Should Not Only Be Helpful. It Should Be Contingent. Artificial Intimacy, Sycophancy, and the Future of Social Learning
- Rock, Paper, Scissors, ... Dynamite - A Model of Disruption from New Technologies
- WHALE: A Simple Recipe for Joint Harness-Weight Optimization
- ReDeck: Step-Level Render-Grounded Refinement for Document-to-Slide Generation
- Assessing Suicide Risk in Arabic Crisis Helpline Calls: A Comparison of Arabic and English Large Language Models
- Elite-Weighted Supervised Fine-tuning for Goal-Directed Molecular Optimization
- Synthetic Worlds for Temporal Evaluation and Knowledge Updating in LLMs
- Intelligent Edge Computing
- Asymmetries in Spontaneous and Instructed Deception
- Recursive Criticality of AI Self-Improvement
- Flawed in Nature, Perfect through Evolution
- Different representation learning objectives recover distinct latent structures from the same psychometric data
- Faster Than Flash: Exploiting Attention Sparsity for Efficient Long-Context Decoding
- Local Reference Geometry Residual Augmentation for Imbalanced Time Series Classification
- Safin-1: Safety from Within through Memory-Native State Evolution
- Foundation models for electricity price forecasting and battery arbitrage: Can they replace market-specific forecasting models?
- Commit-first LLM judging inherits the judge's own errors
- Retrieval, Scoring, and Decoding Shape Performance and Stability in LLM-based Conversational Recommendation
- Stochastic complexity of vectors containing cluster structure
- KItCAT: Knowledge Injection via Input Corruption for Auto-regressive Training
- RW-LoRA: Communication-Efficient Decentralized LoRA Fine-Tuning via Random Walks
- Beneath the Diff: Diagnosing and Mitigating Algorithmic Mode Collapse in Code-Level Autonomous Research Loops
- AI Morbidity and Mortality: A Framework for Clinical AI Failure Review
- MiNER: Fine-Tuned Biomedical Natural Language Processing for Malaria Disease Entity Recognition in Clinical Texts
- Context-Aware Interleaved Batching for WhisperX
- SUN: Agentic Robot Policy Learning with Persistent Task Programs
- Constant Individual Regret in General Games
- BRF-GS: Hyperspectral Bidirectional Reflectance Factor Modeling and Image Generation Based on 3D Gaussian Splatting
- Sharp Approximation Rates for Neural Networks with Affine Latent Parameterizations
- Auditing Anonymous AI Models: A Four-Stage Protocol for Black-Box Identity Verification
- OntoAligner-Ensemble: Voting-Based Fusion across Heterogeneous Ontology Alignment Techniques
- Implementing neural network mixed-effects models in Template Model Builder (TMB)
- On the Complexity of the Compatibility Problem for Succinctly Encoded Conditional Distributions
- PaperGym: Rubric-Centered Evolution for Research-Plan Generation
- "Train classical, deploy quantum" requires rethinking generalization
- Overcoming critical slowing down in frustrated spin systems by learned multiscale sampling
- BLARM: Animating 3D Objects from Video via Blending Latent Rigid Motion Primitives
- Stress-Testing Efficient Responsible-AI Evaluation: When Compute Savings Change Benchmark Conclusions
- VeriCam: A Verification Baseline for the Classification of Unknown Data
- DreamX-Creator: Democratizing Native Audio-Video Generation at 2K Resolution
- BLOOM-WILT: Logit Tilting for Behaviour Elicitation in Automated LLM Auditing
- LLM Post-Training as Brownfield Maintenance: An Industrial Perspective on Dataware Engineering
- Cross-Regional Grapevine Cold Hardiness Prediction via Learned Multimodal Latent Representations
- One Adapter, Many Tasks: Task-Conditioned Feature Transformations for Continual Learning
- Robust retinal biometrics for patient identity verification and retrieval across age and imaging devices
- Minimax bounds for watermarked and masked recursive discrete distribution estimation
- Verbalizing Multi-Token Concepts in LLMs
- Real-Time Video Anomaly Detection Using YOLO Pose Estimation and CLIP-Based Semantic Scoring
- LISynSeg: Data-Centric Label-to-Image Synthesis for Cross-Modality Whole-Heart Segmentation
- Universal Transformers for Circuit Computations: Perfect Length Generalization in Tiny Transformers
- Multimodal Shared Latent Representation of Narration, Microscope and iOCT Images for Phase Recognition in Vitreoretinal Surgery
- When Can We Work in Embedding Space? What Text Embeddings Preserve
- Improving Information Extraction with Learned Queries
- Segmentation of Bovid Dentition Under Imperfect Annotations: A Comparative Study of Convolutional and Attention Models
- Rotational Equivariance in Machine Learning: A Comprehensive Tutorial
- Type-Balanced Contextual Learning for Incremental Named Entity Recognition
- Language-Statistical Analysis of Neural Audio Codec Tokens Across Architectures, Corpora, and Noise Conditions
- Normalized Low-Rank Adaptation
- When Does Predictor-Based RL Align with Human Perception? A Study of Subjective Rewards in Codec-Based Speech Language Models
- FaceSnap: Real-Time Personalized Lightstage Facial Performance Capture
- Learning the Geometry of Admissible Hypotheses through Inductive Bias in Training Distributions
- Analytic Dynamics: Learning Physics-Grounded Representation for Fast Intrinsic Dynamics Inference from Monocular Videos
- SMG: Semantic Motion Graph for Monocular Dynamic Gaussian Splatting
- MNIST-PRO: MNIST is Back as a Partially Observable World for AI Agents
- One note in three: a verified census of three deployed AI scribes, and the instrument that counted it
- LLM Judges Verify Presence, Not Absence: Omission Blindness in AI Clinical Notes and What Recovers It
- TSPFN: A Temporal Tabular Foundation Model for Physiological Time Series Classification
- Augmenting Interviewer Judgments of Patient Experience with Automatic Language Analysis
- From Intent to Evidence: Policy-Steered Multi-Strategy Retrieval for Long-Video Agents
- DARP: A Calibrated Dual-Arm RGB-D-IR Dataset for Multi-View Robotic Perception
- Multi-View Reflective Surface Inspection via Semantic-Saliency Cross-Verification
- Stick to What You Know: A Study of Knowledge-Aligned Supervised Fine-Tuning
- Evaluating and Improving LLM Self-Modeling
- Sparse Competition during Training For the Emergence of Specialized Modules
- MR-JEPA: A General Purpose Video Foundation Model for Cardiac MRI
- CoJEPA: Combining Contrastive Learning and JEPA for Global-Local Music Representations
- The Hermon Moment: AI Self-Transcendence and Its Human Narration
- CogEvol: Towards Efficient and Reliable Learning Environment Generation
- Vision Models Predict Urban Scene Appraisal with Limited Neural Alignment
- A Universal Context-Reuse Layer for Cross-Model KV Sharing
- Branch Geometry and Finite-Radius Sensitivity of Hard-ReLU Training
- Taking the Whys Seriously: Limitations of Counterfactual Explanations in Justification and Recourse
- Learning Action Models with Conditional and Quantified Effects via Uncertainty-Guided Exploration
- Audio-Driven Adversarial Defense for 3D Talking Face Generation with totally Visual Fidelity Preservation
- Reproducible macroscopic dynamics in a closed-loop human-AI learning system
- Nonparametric Contextual Pricing and Inventory Learning under Censored Demand
- MusGU+: Toward a Musician-Centered Evaluation Framework and Discovery Tool for Generative Music AI
- LightNav-0: Eliciting VLM Spatial Intelligence for Generalist Embodied Navigation
- Annotated Surrogate Retrieval for Polish Statutory Law
- Towards Stream Learning on Embedded Systems: Benchmarking the Memory Consumption of Stream Learning Methods
- Selection-Aware Stress Testing for Interactive Agents
- Responsible Integration of AI in Cancer Genomics: Barriers, Risks, and Pathways to Trustworthy Clinical Translation
- Fine-Tuning Low-Bit Models with Gradient in Quantized Code Space
- Uncertainty-Aware Trajectory Forecasting from Imperfect Tracking
- Rad-R: A Raw-ADC Radar Dataset and Capture-Invariant SSM for Hardware-Fault Diagnosis
- A Controlled Evaluation of Model Rankings and Input Reliance in Surface Water Segmentation
- ECGQuest: Benchmarking and Fine-Tuning Language Models for Electrocardiography
- Safety Screening for Voltage Control in Active Distribution Grids via Distributionally Robust Conformal Screening
- Evaluating and Mitigating Anti-LGBTQ Biases in German and Multilingual Language Models
- Deploying DeepSeek 175B Locally on a Single Consumer-Grade RTX 4060 Laptop with 32GB RAM for 200k-Scale Protein-Ligand Virtual Screening
- Personas Differ from Native-Language Generation: Language Pathways Shape LLM Interpersonal Advice
- SurgSkill-Bench: A Benchmark for Multimodal Surgical Skill Assessment
- VCAR: Training-Free 3DGS Segmentation via View Completeness and Axis-Aware Boundary Refinement
- Exponential random graph models with soft clique constraints
- Beyond Good Intentions: When Does the Framing of Multilingual and Low-Resource NLP Research Become a Caricature?
- Predicting Residential Rents in Dakar Using Machine Learning
- GAFT: Geo-Anchored Fine-Tuning for Hazard Identification from Rare Failures
- TAMI: Temporally Aligned, Missingness-Aware, and Interpretable Multimodal Fusion for Mental Health Assessment in Older Adults with Mild Cognitive Impairment
- You Shouldn't Have Asked: A Pragmatics-Inspired Taxonomy for Evaluating LLM Refusals
- Linguistic Distance Segregates Latent Representations in Automatic Speech Recognition Systems
- VFR-Audit: Verdict-Level Reliability for Fairness Audits in Hospital Length-of-Stay Prediction
- Pretrained, Curriculum-Tuned, and Ensembled: A Tracer-Aware Interactive Segmentation Pipeline for AutoPET V
- Physical Adversarial Examples for Person Detectors in Thermal Images Based on 3D Modeling
- Reliable Benchmarking of Artifact Detection in Computational Pathology: A Reproducibility and Uncertainty Analysis
- Opinionated, Hesitant and Stressed: Three Studies of How Politicians Speak in Four Slavic Parliaments
- Error-Type-Aware Loss Reweighting for Robust Named Entity Recognition with Noisy LLM Labels
- Whole-Body MRI Classification via Prompt-Based Clinical Conditioning
- Vocal Music under Phoneme-Conditional Analysis
- Lucida: Parse, Generate, and Place for Composable Real-to-Sim Scene Modeling
- RealOOB: A Definition-Consistent Real-World Oriented Occlusion Boundary Benchmark
- A Composition-Aware Pretraining Framework for Geospatial Foundation Models
- Aggregate Disambiguation Systems
- Geometric Attractor Monitoring: A Robust and Frugal Framework for Multi-modal Industrial Robotic Cycles
- Uncertainty-Aware End-to-End AI Weather Forecasting: Disentangling Observation and Model Contributions
- Conjoint Audio-to-Spikes Encoding and Processing for Efficient Neuromorphic Speech Recognition
- Camera trap classification with deep learning under ground truth uncertainty
- SkillZip Pro: Execution-Aware Dynamic Compression of Progressively Loaded Skills for Self-Evolving Agents
- Reciprocity Separates Gradient Flow from Rotation in Conservative Physical Learning
- TrainSDC: Characterizing and Mitigating Silent Data Corruption in Large Language Model Training
- CORAL: A Benchmark for Structure-aware and Brain-wide Neuron Reconstruction in Light Microscopy
- ChessQueries: Toward Better Chess Board Recognition
- Which Rules Matter Now? Policy-Centroid Routing Before an Intelligent System Acts
- On the Prospects of Dynamic LLM Conversations in Software Development
- CLIN: an Objective Framework for Evaluating Creativity in Short Persian Literary Text
- Learning from What You Retrieve: Online RL Fine-Tuning for Semantic Retrieval
- TDDM-Melatt: A Decoupled Memory and Diffusion Framework for Generalizable Encrypted Traffic Classification
- Functional Degeneracy in Neural Networks: Measurement and Pruning
- Not All Fallbacks Are Failures: Understanding and Recovering from Fallbacks in Mobile Voice Assistants
- Calibrating Small Language Models for Claim Check-Worthiness Detection
- RailGen: Improving Railway Intrusion Detection via Agent-Guided Small-Scale Foreign Object Generation
- Where Do Multilingual Vision-Language Encoders Fail on Low-Resource Languages?
- Tracing distinguishability through transformer processing with stochastic LayerNorm
- SocialReasonBench: A Video-QA Benchmark for Social Reasoning with Counterfactual Narrative Videos
- SegWave: Wavelet-Driven Segmentation of Tampered Regions
- Kolmogorov--Arnold against bounded translations
- RailSyn: Diagnosis-Guided Image Generation for Traceable Data Completion in Railway Foreign Object Detection
- TUE-Detector: A Tool-Using Expert MLLM-Based Detector for AI-Generated Videos
- Learning Dynamics of Logits Debiasing for Long-Tailed Semi-Supervised Learning
- Liquid Gated Attention
- Failure or Drift? Evaluating Monocular SLAM under Synthetic and Real-World Corruptions
- CANVAS: Consistency-Aware Navigation via Visual Adaptive Sampling for Long-Context Text-to-SVG Generation
- UFPR-PEs: A Brazilian Face Recognition Benchmark with Self-Declared Race/Color Labels
- WildSEEK: Evaluating Language Models for Information-Seeking
- Learning Materials Properties from Scarce Labels and Unlabeled Crystals
- MedAgent-R1: Faithfulness-Aware Reinforcement Learning for Evidence-Grounded Medical Reasoning
- CoMPASS: Collaborative Molecular Property Prediction via Adaptive Small-Large Model Synergy
- InfraOcc: An Infrastructure Occupancy Benchmark with Static-to-Dynamic Reasoning
- APT: Anchor-aligned Perturbations for Tamper Localization in Fully Regenerated Images
- Seasonality-Aware Hybrid Convolutional Transformer for Antarctic Sea Ice Concentration Forecasting
- PyKEEN-NSX: A Modular Framework for Static, Dynamic and Schema-Aware Negative Sampling in PyKEEN
- Marginal Coordinate Test for Fr'echet Regression with Random Objects
- MolLedger: An Additive Graph Neural Network with Chemically Grounded ADME Attributions
- Quantum-Grassmann-Plucker Token Mixing for Deep Learning-Based Post-Disaster Damage Assessment
- REER-PT: Reverse-Engineered Reasoning for Perplexity-Guided Pre-training Data Augmentation
- Cost-efficient Active Learning for Referring Image Segmentation and Grounding
- AQ3D: Adaptive Query Transformer for 3D Instance Segmentation
- RealCAD: Towards Real-World Image-to-CAD Reconstruction under Domain Shift and Parameter Bias
- OCR-Based Field Extraction for Archaeological Pottery Metadata: The CENTURIA Dataset
- TaxCE : A Framework for Automated Taxonomy Construction and Evaluation at Scale
- Reading the News: Adapting Large Language Models to Swedish Journalism Through Continued Pre-Training
- Generative Retrieval for E-commerce: Jointly Learning Embedding and Codebook with Same Product Cluster
- State of Health Estimation using Convolutional and Bidirectional LSTM Neural Networks tuned by Bayesian Optimization
- Learning Compositional Spatio-Temporal Video Grounding with Synthetic Curriculum
- Language Proficiency Assessment from Eye Movements in Naturalistic Passage Reading
- Automated Testing of LLM-Based Post Hoc Explainers Using Model Checking as an Oracle
- Collapsibility of Performance Metrics in Clinical Predictive AI
- Modality Disentangled Learning for Incomplete Multimodal Emotion Recognition: A Primitive Memory Distillation Perspective
- Informative Label Missingness in Multiclass Classification Information Geometry and Excess Risk
- Preference Shapes Relevance: Cross-component Hierarchical Semantic Alignment for Personalized Generative Retrieval
- GarmentWeaver: Schema-Aware Structured Synthesis for Multimodal Sewing Patterns
- Designing an Auditable LLM-Supported Workflow for Qualitative Thematic Analysis
- Seeing the Unseen: Visual Similarity for Pixel Language Model Adaptation
- Minerals in the Wild: A Hyperspectral-XRF Dataset for Elemental Composition Estimation
- Beamforming Design Via GNN in mmWave Cell-Free Massive MIMO Using Sub-6 GHz CSI
- MEOM: Multi-View Expected-OKS Maximization for Human Pose Triangulation
- Learning-Assisted Congestion-Aware Route Scheduling for Semiconductor Fab Material Control Systems
- TSExplorer: An interactive data annotation and exploration tool for time-series data
- Trajectory-Initialized Neural Double Q-Routing for Large-Scale Overhead Hoist Transport Systems
- Lot Machine: Multimodal Lot Extraction from Auction Catalogs
- UTILMEM: Benchmarking Evidence Utilization in Long-Term Conversational Memory
- Tensor Methods for Language Models: From Token Representation to Training, Adaptation, Inference, Compression, and Interpretability
- When the Martingale Never Stops Firing: Anytime-Valid Gating on Real Forecast Streams
- Measuring Memory and Generalization as Separable Geometric Channels: The Topo^2 Framework
- Two Centuries of Sexism in British Parliament: A Computational Analysis of Women's Representation in the Hansard Corpus
- ImageEval 2026: Culturally Grounded Arabic Multimodal Evaluation
- ToxLens: A Reproducible Graph-Learning Framework for Leakage-Aware, Uncertainty-Calibrated Molecular Toxicity Prediction
- HorizonNet for visual terrain navigation
- Hi-Q: Hierarchical Evidence-guided Query Refinement for Multi-Hop Question Answering
- Beyond Accuracy: Quantifying Pulmonary Attribution in Anatomy-Guided Chest X-Ray Classification Under Domain Shift
- CHASE: How Content Ecosystems Are Reshaped When Ranking Is the Only Target
- Federated Multi-Task Learning for Bladder Tumor Segmentation and MIBC Classification Using a Hybrid CNN-Transformer Architecture
- Self-Supervised Pretext Tasks for Infant Cry Analysis: A Controlled Comparison and a Cautionary Result on Donateacry
- SeqAlign3DVG: A Sequence-Aligned Benchmark and Voxel Reasoning Framework for 3D Visual Grounding
- FlowVVTON: Flow-Guided Mask-Free Video Virtual Try-On
- End-to-End Neural Shrinkage of Indefinite Pairwise Correlation Matrices for Small-Cap-Inclusive Portfolios
- Graph Evidence Is Not Enough: Diagnosing Native Decoder Use in Graph-Augmented LLMs
- Generalization as a robust performance property of learning-enabled dynamical systems
- Generative Models Enhanced by Sequence Labelling and Aspect-Code Switching Improve Cross-lingual Aspect-Based Sentiment Analysis
- Towards Cognitive Process-Aware Proactive Writing Support
- ObjectSplat: Improving Mesh Fidelity and Interactivity for 3D Scenes via Object-Level Mesh Splatting
- Whole-Slide Image Analysis under Realistic Few-Shot Annotation Protocols
- From Metaheuristics to Exact Methods: A CP-SAT Approach for Multi-Objective Healthcare Workforce Scheduling
- Benchmarking External Generalization of SPD Matrix Learning for Resting-State fMRI Connectome Prediction
- Inherent Trade-offs when Enforcing Correct Data Symmetries in Multi-head Self-attention
- SePArate: Segmenting Patterns from Defects in Wafer Manufacturing Using Weak Supervision
- Dense Clinical Contrasts Enhance Medical Knowledge Updating in Large Language Models
- ImageCAS-X: a dataset and benchmark for coronary artery segmentation and centerline extraction in coronary CT angiography
- Real-Time Scene-Adaptive Tone Mapping for High-Dynamic Range Object Detection
- Co-Evolving Actor-Conditioned Critics for Non-Verifiable Generation
- TopGQ: Fast GNN Post-Training Quantization Leveraging Topology Information
- Quantitative Evidence Mining for Plausibility-Aware Biomedical AI: A Narrative Review and Conceptual Framework
- Foundation Models Meet Agriculture: Challenges Beyond Pretraining
- Uncertainty of Vision Medical Foundation Models
- PRISM: Predictive Recomposition via Semantic Latent Decomposition for View-invariant Video Representation Learning
- DASC: Decay-Aware State Compression for Hybrid Linear-Attention Serving
- RSLM: Training-Free Vector Quantization for Approximate Nearest Neighbor Search
- Convergence rates for the RMSprop optimizer with full control of the hyperparameters
- Kathleen Remembers: Length-Invariant One-Shot Recall Without Attention
- Compact and Infinite-Order Error Analysis for Null-Space SVD Estimation
- Auditing MCQA Benchmarks through Probability Landscapes
- MCSeg: Pre-training and Fine-tuning Volumetric Pyramid Transformer for Multi-modal Cardiac Image Segmentation
- Beat-Synchronous Tokenization for ECG Transformers
- Beyond Churn: Predicting Financial Fragmentation in Retail Banking with Temporal Machine Learning
- Seeing the Unseen: Camouflaged Object Detection Beyond the Visible Spectrum
- Co-Annotator: Expert-Distilled ViT and VLM for Visual and Documentation Guidance in Age-Related Macular Degeneration
- Answer Probing-Guided Search for Diverse Solution Exploration of LLMs
- Proximity3D: Shape from Capacitive Proximity on Sensing Manifold
- CapFrame: Text-Instructed Viewpoint Grounding in 3D Gaussian Scenes via Geometric Pseudo Labels
- Coarse composition suffices: tabular in-context learning for multi-activity antimicrobial peptide profiling
- Beyond Ranking Accuracy: Evaluating LLM-Cited Feature Rationales for Next Basket Repurchase Recommendation
- Learning PDE Time-Stepping with Neural Cellular Automata
- Do Small Models Use the Law You Give Them? Measuring Context Use on a Bilingual Bangladesh Legal Benchmark
- Parallel Time-Band Mixing with Learned Observation-Adding for Robust ASR Front-Ends
- Sequential Trajectories and Simultaneous Blending: Multi-Emotion Modeling for Instruction-Following TTS
- Generative multi-domain transfer learning for fault detection in data-scarce wind turbines
- Knowing Beyond the Known: Reinforced Knowledge Specification for Multi-Label Class-Incremental Learning
- Context Staircase: Signature-Aligned Dynamics of Token Embeddings under Small Initialization
- One AI Signal, Many Human Judgments: A Bayesian Cascade Analysis of AI-based Credibility Indicators in Online Information Spread
- Learning to Restore More: Continual Capability Expansion for Pretrained Image Restoration Models
- Lazy Grounding: Attacking Search Agents with Factual Evidence
- AIA2: Attribute-Agnostic Imbalance Augmentation for Subgroup Robustness
- Dynamic Hub-and-Spoke Memory for Streaming Video Understanding
- SELECT: SELEctive Context Transfer for Class-Incremental Semantic Segmentation
- Motion-Saliency Complementary Masked Modeling for Point Cloud Video Understanding
- Strengthening Recursive Constructions for Zero-Error Shannon Capacity
- Dec-BFTRL: Squre-Root Regret for Decentralized Online Upper-Linearizable Optimization under Separation Access with Application to Continuous Submodular Maximization
- Read the Room, Read the Image: Understanding Indirect Speech Acts in Multimodal Visual Contexts
- Multivariate Scientific Data Compression with Learned Cross-Variable Latent Decorrelation and Autoregressive Entropy Modeling
- Estimating Population-Risk Curves Along Nonconvex Gradient Flows from the Training Sample
- Using Prosody to Predict Syntactic Structure
- Exact Recovery Thresholds for Weighted Data Selection in Vector-Valued Linear Regression
- OPUS: A Simple yet Effective Unified Framework for Open-Vocabulary Detection
- A Borel Concept Class of VC Dimension One with a Non-PAC Consistent Learner in ZFC
- PaperBanana-Interact: Scientific Diagram Refinement with Multi-Turn Human Feedback
- LLM-Based Knowledge Graph Completion Combining Discrete Structural Coding with Similar Entity Information
- CoLa-ICD: A Knowledge-Enhanced Framework for Long-Tail Automated Medical Coding
- Semantic-Spatial Discriminability Enhancement for Generalized Visual Grounding
- Rethinking the Test-Time Prompt Tuning Objective from the Perspective of Calibration
- Quantifying and Mitigating Korean Jamo-Level Typographical Vulnerabilities in Large Language Models
- LaMoC: Loss-Aware Modular Compression for LLMs
- Fairness in multi-class multi-group classification problems via contextial coherent risk measures
- Amortized Anchor Refinement for Deployable Continuous-Time 4D Gaussian Reconstruction
- Label Semantic Expansion via Label Guided Neural Topic Modeling
- Diffusion-Based Refinement for Kilometer-Scale Probabilistic Precipitation Nowcasting
- When Models Hear What They Expect: Diagnosing Prosodic Heuristics in Multimodal Sarcasm Detection
- Certified Safety Radii in Forecast-Error Space for Wasserstein Distributionally Robust Small Signal Stability-Constrained AC Optimal Power Flow via Lifted Spectrahedral Containment
- When Errors Become Memories: Causal Pathway Tracing in Multi-Turn Memory-Augmented LLMs
- The PUR-1 Cyber-Physical Digital Twin
- ATGS: Anchored Temporal Gaussian Splatting for Long Volumetric Video Representation
- ConCA: Concentration-Aware Channel Attention for Fine-Grained Visual Recognition
- Benchmarking Peptide-Protein Affinity Prediction Across Peptide and Target Shifts
- Science sandboxes measure the scientific capability of AI agents
- AI-enabled Low-Cost 3D Maize Ear Morphometry Platform at Breeding Scale
- CPR for LLMs: Critical-Point Routing against Catastrophic Forgetting in Domain Adaptation
- Converse and Collision-Based Achievability for Node Localization with Hybrid Distance-Spectral Graph Positional Encodings
- CedarCypress3D: an annotated UAV-LiDAR dataset of individual trees in planted cedar and cypress forests
- Repeatability Characterisation and Error Budget of a Consumer Structured-Light Scanner for 3-D Wound Geometry:A Rigid-Phantom Study
- Efficient and High-Quality Depth Estimation via Pixel-Space Diffusion with Linear Attention
- TPR-Attention for Combinatorial Generalization
- Manac'a-1B: An Open, Reproducible Brazilian-Portuguese Language Model and a Tokenizer-Aware, Paired Evaluation
- Supraglacial Lake Fate Is Knowable Long Before the Season Ends
- Can LLMs Take the Pulse of the Economy? A Real-Time Evaluation of LLM Nowcasts on Macroeconomic Indicators
- COGTRL: Training LLMs for Scientific Discovery Assistance using Cognitive Traces via Reinforcement Learning
- AtlasNLP: A Country-Aware Atlas of Dataset Representation in NLP
- A Simple Transformer Pipeline for Full-Key Side-Channel Attacks on Uncropped Datasets
- Graph4BiLO: Graph Neural Network Approximation for Bilevel Mixed-Integer Linear Optimization
- SMOTE-VAR: An Uncertainty-Aware Oversampling Method for Predicting Depression Remission in University Students