Papers
Tue 1 Sep 2026
564 papers
- Schematize: An Agentic System for Generating and Refining Information-Extraction Schemas for Legal ResearchLLM agents and tool use → Social simulation and multi-agent debate
- Dissecting Training-Free Uncertainty Estimation in Multimodal Large Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Don't Just Look, Intervene: Perturbation Based Region Labeling for VQA ImagesLLM reasoning → Multimodal reasoning +1
- Synthetic Leprosy Image Generation Using Mask-Conditioned Latent Diffusion and Transfer Learning from Large Chronic Wound DatasetsDiffusion models → Medical imaging and segmentation
- Part Grounding, Not Action Knowledge: Locating the Bottleneck in VLM Affordance PredictionMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- DART: A DAG-Based Reputation and Incentive Framework via Blockchain-Enabled Governance for Trustworthy LLM Multi-Agent CollaborationLLM agents and tool use → Agent threats, guardrails and governance
- Beyond "AI Helps Humans": Decision-Targeted Evaluation Design for Human-Agent Teams in the Agentic EraLLM agents and tool use → General LLM agent frameworks and benchmarks
- DIVA: Exploiting Cross-Step Conditional Propagation for Visual Jailbreaks in Discrete Diffusion Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +2
- Diffusion models for eye-gaze trajectory generation using position and velocity representationsDiffusion models → Video generation
- Contrastive Knowledge Distillation for Anomaly Detection in Multi-Illumination/Focus Display ImagesKnowledge distillation → Detection and dense prediction distillation
- Convergence Theory of Knowledge Distillation in Asynchronous P2P Gossip Learning NetworkKnowledge distillation → Federated, robust and private distillation
- On-Policy Distillation Meets Off-Policy GRPO: Training Compact Instruction-Following RerankersLLM reasoning → Prompting and chain-of-thought reasoning +1
- OR-Transformer: Scaling Real-Time Decision-Making to 1,000 ItemsDeep reinforcement learning methods → RL for energy, networks and operations
- Agent Flight Recorder: Tamper-Evident Audit Trails with On-Chain Anchoring for Long-Horizon Tool-Using AgentsLLM safety and security → Prompt injection and agent security
- Grounded, Compute-Efficient LLM Policy Agents for Energy-Poverty Equity in Physically-Constrained Peer-to-Peer Energy MarketsLLM agents and tool use → Financial trading and forecasting agents
- MERGED: Multimodal Entity Resolution via Generated Expert Reasoning DistillationLLM reasoning → Multimodal reasoning
- Does Playing it Safe Count as Faithfulness? Reassessing LVLM Hallucination Mitigation MethodsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- GAPS: Dimension-Level Gates for Conditional Activation SteeringMechanistic interpretability → Activation steering methods
- Epistemic Sybil Resistance: Multiplying AI Agents Without Multiplying EvidenceLLM agents and tool use → Web, search, and research agents
- ArcticSwarm: Deferring Early Consensus in Long-Horizon Multi-Agent ResearchLLM agents and tool use → Web, search, and research agents
- Thinking effort aligns between humans and reasoning models in abductive reasoningLLM reasoning → Reasoning benchmarks and evaluation
- ExecRetrieval: Measuring the Functional-Correctness Gap in Code-Embedding RetrievalRetrieval-augmented generation → RAG for code +1
- Belief-Calibrated Optimization: An Explicit World Model for Agentic OptimizationWorld models → World models for language agents +1
- Agent Memory Is a Surface for Endogenous Authorization LaunderingLLM agents and tool use → Agent threats, guardrails and governance
- Scaling Inference Prefill with High-Radix Photonic InterconnectsMixture-of-experts → Efficient MoE training and inference systems
- Induction and Inquiry via Probabilistic Reasoning over Language and CodeLLM reasoning → Reasoning benchmarks and evaluation
- Reinforcement learning to choose optimizersDeep reinforcement learning methods → Deep RL algorithms and representations
- Designing Versatile Samples for Learned Trajectory ScoringEnd-to-end autonomous driving → Imitation-learning end-to-end planners
- KGVoyager: Knowledge Graph Agnostic Question Answering via Agentic NavigationLLM agents and tool use → Web, search, and research agents
- Agents That Model Agents: Five Principles Toward a Theory of Mind for 6G NetworksLLM agents and tool use → Agentic AI for wireless networks
- MemeCULT-1K: Benchmarking South Asian Cultural Context and Humor Understanding of Multimodal ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Curriculum-Guided Reinforcement Learning for Energy-Efficient UAV-ISAC in Post-Disaster Search-and-Rescue OperationsDeep reinforcement learning methods → RL for robot navigation and UAV control
- AlphaRAD: Grounded Zero-Shot Classification in Chest Radiology via α-Corrected Binary Cross Entropy and Factorized Latent SupervisionMultimodal LLMs / vision-language models → Medical vision-language models
- A Study of Conditional Diffusion Models for Open-Loop Control under Dry Friction and StictionDiffusion models → Diffusion and flow policies for robotics
- CAT-Flow: Curvature-Adaptive sTeps for Flow MatchingDiffusion models → Flow matching, time series and science
- Harness Engineering in LLM Tool Use via Agent-Native Reusable Tool PrimitivesLLM agents and tool use → Tool learning and function calling
- Hearing the Whispers: Black-Box Membership Inference Attacks on Finetuned TTS ModelsLLM safety and security → Membership inference attacks +1
- Public-Sharing Labels and Verbatim Field Egress in an MCP-to-A2A Agent Configuration: A Controlled Multi-Model StudyLLM agents and tool use → Agent threats, guardrails and governance
- FairLens: Benchmarking Fairness in Vision-Language Models for High-Stakes Decision-MakingMultimodal LLMs / vision-language models → Social bias and fairness in VLMs
- Reinforcement Learning and Rule-Based Peer-to-Peer Pricing in Residential PV-BES CommunitiesDeep reinforcement learning methods → RL for energy, networks and operations
- Skill-as-API: Confidential Multi-Agent Coordination for Agentic Software EngineeringLLM agents and tool use → Agent threats, guardrails and governance
- Sim2Signal: Sim-to-Real Benchmarks for Traffic Signal ControlDeep reinforcement learning methods → RL for autonomous driving and traffic
- Efficient SWE Agent Benchmarking via Trajectory-Aware EvaluationLLM agents and tool use → Software engineering coding agents
- CordisBench: Can Language Models Reason About Component Lifecycles in Dynamic Agent Harnesses?LLM reasoning → Reasoning for agents, planning and code +1
- The Rise of Verbal Reinforcement LearningDeep reinforcement learning methods → RL training of language and agent models
- SpatialGuard: Harness-Guided Verifiable Spatial Reasoning for Text-to-Image GenerationLLM reasoning → Multimodal reasoning
- Selective Agent Guidance via Entropy: Learning Autonomous Policies from Imperfect VLM TeachersMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- H3-World: Turning Language Understanding into World ControlWorld models → Video-generation world models and simulators
- Retrieved but not ranked: surface-form bias in structural retrieval, from mathematics to agent trajectoriesLLM agents and tool use → Web, search, and research agents
- NashDreamer: Model-Based Reinforcement Learning for Zero-Sum Imperfect-Information GamesDeep reinforcement learning methods → RL for games and combinatorial optimization
- Quantum Sparse Autoencoders for Q-Matrix Estimation in Cognitive DiagnosisMechanistic interpretability → Sparse autoencoder training and evaluation
- Knowledge Distillation During Mid-Training Favors Reasoning over Factual RecallLLM reasoning → Prompting and chain-of-thought reasoning +1
- When Guardrails Look Effective: Construct Validity Failures in LLM Agent Commerce EvaluationLLM agents and tool use → Financial trading and forecasting agents
- DualDiff3D: Dual Structure-Appearance Diffusion Priors for Reliability-Enhanced 3D Gaussian SplattingDiffusion models → 3D, point cloud and scene generation
- TempCloze: Can Video-LLMs Identify the Missing Middle?LLM reasoning → Multimodal reasoning
- LatentPress: Context Compression Beyond Text and VisionEfficient LLM inference and serving → Prompt and context compression
- GlossoGen: Emergent Language in Complex Multi-Agent LLM InteractionsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Harness-of-Harness: Multi-Day Autonomous Software Development with Continual ImprovementLLM agents and tool use → Software engineering coding agents
- Parsing the Stream: A Live Trace Model for Long-Horizon Agents and Their ObserversLLM agents and tool use → Agent memory systems
- When Safety Routing Breaks: Understanding Alignment Fragility under Benign Fine-TuningLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- Does Imitation Learning Preserve Temporal Robustness in Dexterous Manipulation? An Expert-Learner Comparison Across Task Execution SpeedsOffline RL and imitation learning from data → Robot manipulation imitation learning
- Diffusion as a Training Curriculum for Timestep-Free Iterative ReasoningDiffusion models → Discrete and text diffusion
- HarnessDev: Can LLMs Create and Evolve Their Own Agent Harness?LLM agents and tool use → Software engineering coding agents
- Gaussian Core LoRA: Distribution-Aware Dynamic Adaptation for Broad Concept ErasureDiffusion models → Robustness, privacy and adversarial aspects
- TRIAGE: Three-level Routing and Intelligent Agent Guidance for Efficient ExecutionLLM agents and tool use → General LLM agent frameworks and benchmarks
- Provably Safe Sim-to-Real TransferDeep reinforcement learning methods → Safe and constrained RL
- EdiTikZ: Scientific Figure Editing from Revision TrajectoriesMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- Evaluating Multimodal LLMs as Generalist Vision-Language-Action Agents for Drone Control: Commanding, Approaching, Tracking and SearchingMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +2
- InSight: A Benchmark for Agentic Claim Verification in Interactive VisualizationsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning +1
- IntroConformal: Conformal Factuality Guarantees for Large Vision-Language Models via Introspective SignalsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- Investigating Linear Probe Robustness to Linguistic Register, Medical Specialty, and Corpus Shifts in Medical QAMechanistic interpretability → Interpreting biomedical and science models
- EDGE: Error Dependency Graph-Guided Multi-Error Attribution in Multi-Agent LLM SystemsLLM agents and tool use → Software engineering coding agents
- SMELT: Scaling Laws for Compute-Matched MoE Looped TransformersMixture-of-experts → Expert routing strategies
- mzCache: On-Device LLM Memory Management under MultitaskingEfficient LLM inference and serving → Serving systems and request scheduling
- VerTox: Verifiable Reward-Guided Corpus Poisoning Against Neural Ranking ModelsRetrieval-augmented generation → Privacy and security of RAG
- Exploring Sparse Autoencoders in Text-Based Causal Confounding AdjustmentMechanistic interpretability → SAE features and their applications
- Reliability Challenges in Diffusion Vision-Language ModelsMultimodal LLMs / vision-language models → Image editing and quality assessment +1
- Explore Before Committing: Hypothesis-Guided Search for Deep Research AgentsLLM agents and tool use → Web, search, and research agents
- EmbodiedSkills: A Unified Framework for Orchestrating, Training, and Deploying VLA AgentsVision-language-action models → Failure recovery and robustness
- TimeSteer: Inference-Time Speech Scheduling in Joint Audio-Visual Diffusion ModelsDiffusion models → Audio, speech and music
- Making Prospective Memory SLM-Shaped: Typed Intention Stores for Small-Model AgentsLLM agents and tool use → Agent memory systems
- What Does an Agentic Software Engineering Benchmark Measure? Profiling Task Demands and Agent Behaviour Beyond What Category Labels RevealLLM agents and tool use → Software engineering coding agents
- One Prompt Is Enough: Watermark Laundering Through Foundation Image ModelsLLM safety and security → Watermarking generated content and models
- Ready to Speak: Aligning LLMs for TTS-Friendly Text GenerationLLM alignment / RLHF / preference optimisation → Preference alignment for recommenders and RAG
- Explore More, Drift Less: Outcome-Only Reinforcement Learning Can Suffice for Long-Horizon Interactive AgentsLLM agents and tool use → Reinforcement learning for LLM agents +1
- Post-Training Science for Supervised Fine-TuningMixture-of-experts → Mixture of LoRA experts
- Position Matters: Feature Inversion Attacks in ViT Split Inference with Token Reduction and ShufflingEfficient LLM inference and serving → Token pruning and merging for ViTs
- S2Prune: Spatially Structured Visual Token Pruning for Multimodal Large Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- H2Table: Hierarchical Hypergraph-Enhanced Large Language Models for Complex Table ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning
- REFACTOR-VLA: Unsupervised Library Learning of Typed Motor ProgramsWorld models → Embodied and robot world models +1
- Compressing AI Traffic: Standardized Neural Network Coding of Visual-Token Representations in Split Vision-Language InferenceMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- PersuaRL: Reinforcement Learning-Driven Multi-Expert Selection for Persuasive Dialogue Generation in InsuranceDeep reinforcement learning methods → RL training of language and agent models
- Reveree: Diagnosing LLM Reverse-Engineering AgentsLLM agents and tool use → Agent threats, guardrails and governance
- Jailbreaking Text-to-Image Models Through Cracks: Navigating Heterogeneous Safety Filters via Multi-Agent DebateLLM agents and tool use → Agent threats, guardrails and governance +1
- Classic AI Scaffolding for LLM Social AgentsLLM agents and tool use → Social simulation and multi-agent debate
- CopyShield: A Cross-Level Benchmark of Copyright Defenses in LLMsLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks
- On the Design Fundamentals of Pixel Text Representation LearningEfficient LLM inference and serving → Visual token pruning in multimodal models
- P-PatchDiff: Progressive Patch Diffusion Models for Low-light Image EnhancementDiffusion models → Inverse problems and image restoration
- Latent Recurrent Thoughts: Recurrent Refinement of Proposed Latents for Reasoning with Frozen LLMsLLM reasoning → Test-time compute and efficient thinking
- ClinTraceBench: Source-Verifiable Longitudinal Clinical Reasoning over EHR-Derived DialoguesLLM reasoning → Clinical and biomedical applications +1
All 564
- Beyond Magnitude: Contrastive Routing for Modular Mixture-of-ExpertsMixture-of-experts → Expert routing strategies
- Subliminal Learning as Trait-Direction Drift: A Mechanism and Targeted Control under SFT DistillationKnowledge distillation → On-policy and self-distillation for LLMs
- Text-guided flow matching enables sample-efficient crystal structure generationDiffusion models → Flow matching, time series and science
- OUTLETS: Output-Length Prediction from Speculative Decoding BackbonesEfficient LLM inference and serving → Speculative decoding
- World Model-Guided Reinforcement Learning via Counterfactual User Engagement SimulationWorld models → Latent dynamics models and model-based RL
- Accelerating Reinforcement Learning via MPC Solver-Gradient Guidance for Weights-varying MPCDeep reinforcement learning methods → RL for autonomous driving and traffic
- Dyn-3D: Unveiling and Resolving Ego-Motion Ambiguity in Vision-Language ModelsLLM reasoning → Spatial and embodied reasoning +1
- ARISE-RL: Agentic Rubric-Grounded Iterative Self-Evolution with Reinforcement LearningLLM agents and tool use → Reinforcement learning for LLM agents
- WorldBench: Culturally Grounded Benchmark for Multilingual AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Lagged Coupling: Internal Representations Become Readable Before They Become CausalMechanistic interpretability → Circuits and mechanistic analysis
- HiveTraceGuard-Pro: A Compact Generative Guardrail for Prompt Injection, Jailbreaks, and Adversarial ObfuscationLLM safety and security → Prompt injection and agent security
- AgentFactory: Towards Automated Agentic System Design and OptimizationLLM agents and tool use → Software engineering coding agents
- From Truncation to Commitment: Persistent Context in Uniform Discrete DiffusionDiffusion models → Discrete and text diffusion
- Data-Driven Persona-Conditioned Agents for A/B Test SimulationLLM agents and tool use → Social simulation and multi-agent debate
- Spawn Freely, Act Sparingly: Progressive Risk Vesting for Recursive LLM-Agent TreesLLM agents and tool use → Agent threats, guardrails and governance
- PCoMoE: Shifting MoE Inference from Monolithic Expert Selection to Fine-Grained Path CompositionMixture-of-experts → Efficient MoE training and inference systems
- AKRASIA: Stealthy Backdoor Attack on Reasoning-based Code LLMsLLM safety and security → Backdoor and data poisoning attacks
- SinkPruner: Sink-Free Visual Token Pruning for Multimodal Large Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- AInfer-PD: Communication-Safe In-Place Prefill-Decode Multiplexing for Distributed MoE RolloutsMixture-of-experts → MoE in reinforcement learning and robotics
- Disclosure-Gated User Simulation for Companion-Agent EvaluationLLM agents and tool use → Social simulation and multi-agent debate
- ReFlowSET: Representation-Aligned Latent Flow Matching for SAR-to-EO Image TranslationDiffusion models → Inverse problems and image restoration
- CoBRA: Learning Tool-Use Boundaries via Counterfactual MarginsLLM agents and tool use → Tool learning and function calling
- Conditional Flow Matching for Cross-Field MRI HarmonisationDiffusion models → Medical imaging and segmentation
- ASSERT: Adaptive Stochastic Sampling for Robust Diffusion Models on Analog Compute-in-Memory HardwareDiffusion models → Diffusion foundations and sampling
- Calibration is the Bottleneck: An Action-Class Diagnostic of Multi-Turn Tool-CallingLLM agents and tool use → Tool learning and function calling
- From Terminology to Diagrams: Visual-Instruction Generation for Scientific Diagram UnderstandingMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- DualStake: Dual-Path Confidence Calibration in Deep Research AgentsLLM agents and tool use → Web, search, and research agents
- Context-Grounding Gains Are Mediated by Pre-existing Machinery: Auditing GRPO, SFT, and DPOLLM reasoning → Test-time compute and efficient thinking +1
- VIBE-Bench: Evaluating Personalized Large Language Models When Profiles Don't Mean PreferencesLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Knowing When to Stop: Adaptive Action Chunking via Internal Cross-Attention Dynamics in VLAsVision-language-action models → Efficient VLA inference and adaptation
- CacheBridge: Efficient Cross-Model KV Cache TransferEfficient LLM inference and serving → KV cache optimization
- Denoising Diffusion Generative Models Secretly Calculate AttentionsDiffusion models → Diffusion foundations and sampling
- Towards reliable multimodal disaster severity assessment through preference optimization and explainable vision-language reasoningLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks
- Beyond the Clock: Measuring the Value of Adaptive RevisionLLM agents and tool use → General LLM agent frameworks and benchmarks
- Membership Inference in Fine-tuned Diffusion Language Models via Token-level Memorization AsymmetryDiffusion models → Robustness, privacy and adversarial aspects +1
- The Visual Insensitivity Gap: Diagnosing When Vision-Language Models Fail to Use Visual EvidenceMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Benchmarking Vision-Language Models for Automated Pathology Diagnosis and Report GenerationMultimodal LLMs / vision-language models → Medical vision-language models
- Conditional Flow Matching for ML-Based Inverse Design ProblemsDiffusion models → Flow matching, time series and science
- Training-Free Inpainting Across Domains with a Frozen Text-to-Image Diffusion ModelDiffusion models → 3D, point cloud and scene generation
- Reinforcement Learning Enhanced LLM Agents for Complex Vehicle Routing ProblemsLLM agents and tool use → Reinforcement learning for LLM agents
- LLM Inference on IMC-NoC Architecture with Balanced Dataflow and Fine-Grained ParallelismEfficient LLM inference and serving → Serving systems and request scheduling
- Towards Generalizable Visually Grounded Exploration of Household DevicesMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Dense Process Supervision for Search Agents via Fact Utility EstimationDeep reinforcement learning methods → RL training of language and agent models
- Visual Attention Faithfulness in Vision-Language Models is HeterogeneousMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- One Policy, Any Budget: Internalizing Budget-Aware Search via Reinforcement LearningDeep reinforcement learning methods → RL training of language and agent models
- ReBridge-Flow: Re-Coupling Posterior Bridges in Flow Matching for Image RestorationDiffusion models → Inverse problems and image restoration
- Advanced Pixel Diffusion Model with Guided Sparse Global RefinementDiffusion models → Diffusion foundations and sampling
- Agentic programs: an emerging form of scientific software in computational materials scienceLLM agents and tool use → Medical and scientific domain agents
- Instella-MoE Technical ReportMixture-of-experts → MoE large language models
- RISA: Response Inspection and Selective Actions for Refusal Calibration in Large Language ModelsLLM safety and security → Safety alignment, refusal and guardrails
- Forbid Your Attention: Fooling Multimodal Large Language Models by Selectively Removing Intrinsic Focus in Spectral DomainMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- Solaris: Towards Interfaces That Are Generated, Not CodedWorld models → World model security and GUI agents
- Non-Prehensile Throwing: A Reinforcement Learning PerspectiveDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Are You Thinking What I am Thinking? : Examining Conceptual Separation in Neural ArchitecturesLLM reasoning → Multimodal reasoning
- Automated Tree Knowledge Graph Construction using Ontology Expansion and Retrieval from Vietnamese History TextbooksRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- S^3martCirc: Self-supervised Smart Circuit DiscoveryMechanistic interpretability → Circuits and mechanistic analysis
- ContextPipe: Database-Inspired Context Assembly for Long-Horizon AgentsLLM agents and tool use → Agent memory systems
- Text Capability Loss in Vision-Language Adaptation: An Attention-Sink DiagnosisLLM reasoning → Multimodal reasoning +1
- Escaping Redundant Reasoning: Structure-Aware Search for Inference-Time LLMsLLM reasoning → Test-time compute and efficient thinking
- Agentic Empirical Asset Pricing: Methodological FoundationsLLM agents and tool use → Financial trading and forecasting agents
- A Closed-Loop Evaluation of Capability Loss and Recovery in Compressed Driving PoliciesEnd-to-end autonomous driving → Imitation-learning end-to-end planners
- ChatDev 2.0: A No-Code Multi-Agent Platform for Developing EverythingLLM agents and tool use → General LLM agent frameworks and benchmarks
- EarthLD: Towards Unified Open-World Landslide Understanding via Vision-Language Guided Diffusion ModelsDiffusion models → Inverse problems and image restoration
- Controllable Image Captioning with Prompt-Conditioned Scene RewardsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Patterning in Practice: Debiasing Reward Models with SusceptibilitiesLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- SCoNE: Selective Context-aware Neuron Editing for Robust Retrieval-Augmented GenerationRetrieval-augmented generation → RAG robustness and adaptive retrieval
- Creative Generation via Multi-Agent Debate: Does Debate Suppress Diversity?LLM agents and tool use → Social simulation and multi-agent debate
- HarmoCore: Functional Latent Diffusion for Sparse Reconstruction of Oscillatory Wave FieldsDiffusion models → Inverse problems and image restoration
- From Saliency to Discriminability: Rank-Preserving Visual Token Pruning for VLM RerankersMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- Separating perception from reasoning in vision-language models: a model-free render ceiling for crystal structuresLLM reasoning → Multimodal reasoning +1
- Teaching Vision-Language Models to Use the Scale They Are Given: Label-Free Equivariance Training for Metric Physical ReasoningLLM reasoning → Spatial and embodied reasoning +1
- Self-Reports Are Not Verification: Environment-Grounded Auditing of LLM Operators in Evolutionary SearchLLM agents and tool use → General LLM agent frameworks and benchmarks
- You Cannot Photograph the Same Street Twice: Reliability Limits in Vision-Language Measurement of Urban ChangeMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- It Takes Two to Match: Co-Evolving Generative Retriever with Reinforcement LearningDeep reinforcement learning methods → RL training of language and agent models
- ExpArt-KG: Artwork Image Description Generation through Iterative Exploration of Knowledge GraphsMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- Trust Your Guide Only When Certain: Uncertainty-Aware Sparse Alignment at Inference TimeLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Control-Data Flow Separation: Stable Prompt Optimization in Multi-Agent LLMsLLM agents and tool use → Software engineering coding agents
- DSG: Dynamic 3D Scene Graph Construction for Embodied Agents in Changing Indoor EnvironmentsLLM agents and tool use → Multimodal and embodied agents
- Streaming4D: Accelerate 4D World Models via Block-wise Video Generation and Incremental ReconstructionWorld models → Video-generation world models and simulators
- Confess What You Know: Forget-Set Misalignment with Model Knowledge in LLM UnlearningLLM safety and security → Machine unlearning
- NeuroGraph: An AI Graph-Driven Neuro-Symbolic Framework for Explainable Threat Reasoning in Advanced ManufacturingLLM reasoning → Reasoning for agents, planning and code
- SoK: When Safe Agents Fail Together: The Security of Multi Agent LLM SystemsLLM agents and tool use → Agent threats, guardrails and governance
- A Glance Is All You Need: Single-Pass Fine-Grained Image Captioning with SimLossMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- CRAFT: Fine-Tuning Pre-hoc Explainability in AI-native 6G RANLLM reasoning → Reasoning for agents, planning and code
- Residual Sparsification via Output Importance for Compressing Mixture-of-Experts LLMsMixture-of-experts → MoE large language models
- WiseSpec: Requirements-Driven Agents for Code GenerationLLM agents and tool use → Software engineering coding agents
- Same Semantics, Different Outcome: On the Modality Robustness of Multimodal LLMs under Knowledge ConflictMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Skill Following: Evaluating Actual Skill Use in Retrieval-Enabled LLM AgentsLLM agents and tool use → Agent skill learning and evolution
- Feedback-Assisted Trust Propagation over Document Relation Graphs for Retrieval-Augmented GenerationRetrieval-augmented generation → RAG robustness and adaptive retrieval +1
- Are We There Yet? Assessing Computer-Use Agents for Blind Users' Accessible Interaction with Desktop ApplicationsLLM agents and tool use → GUI and mobile agents
- Transferable End-to-End Optimization for Indirect Long-Term Memory Poisoning in LLM AgentsLLM agents and tool use → Agent threats, guardrails and governance
- ISO-RAG: Isoperimetric Noise Control for Retrieval-Augmented GenerationLLM reasoning → Knowledge- and tool-augmented reasoning +1
- Independent Reinforcement Learning in Discounted Markov GamesDeep reinforcement learning methods → RL for games and combinatorial optimization
- Measuring the Microtask Eligibility Gap: When Is an Off-the-Shelf SLM Enough for an Agent Harness?
- Encoded but Disconnected: Decomposing Vision-Language Model Failures under a Patching Null
- QINA: Quantum-Inspired Nonlinear Adapters for Pretrained Vision Models
- CATCH: Counterfactual Anatomical Tissue Inpainting with Conditional Haar Diffusion
- ToCo-Mesh: Topology-Consistent Dynamic Mesh Reconstruction via Adaptive Tessellation and Surface-Aligned 2DGS
- SALSA: Semi-Autonomous Literature Summarization Assistant
- Replicating the Geometry of Emotion Representations in a Base Open-Weights Model
- An Implant-to-Wearable IR-UWB Transmitter-Receiver Architecture and Layered Protocol for High-Density Brain-Computer Interfaces
- Prediction of Nonlinear Oscillations in a Jumping Quarter-Car Model Using Reservoir Computing
- Evaluating Personal Information Output from Conversational Interactions in Generative AI Systems
- Reliability-Aware Hybrid-K Ensemble Selection for Cervical Cytology Classification: Integrating Discrimination, Calibration, and Selective Prediction
- Infrastructure-based Monocular 3D Vehicle Localization Framework with Experimental Validation
- Situation Awareness for Intelligent Data Distribution in Connected Vehicles
- FrOGS: Discrete Neural Sampler for Independent Alloy Configurations Across Chemical Conditions
- Privacy-Preserving Heterogeneous Multi-LLM Federated Inference for Cognitive Diagnosis
- Reflect-SQL: A Self-Reflection Based Framework for Text-to-SQL
- Physics-Driven Independent Pair Generation for Iterative Self-Supervised Low-Dose CT Denoising
- Pushing Forward Multi-Secret-Key Homomorphic Encryption for Private Average Aggregation
- Refining Heuristic-Based Bitcoin Address Clustering with Graph Neural Networks
- Sparse Readout Prism: Explaining Logit-Lens Scores in Features Instead of Tokens
- Learning with Volterra Neural Networks: A System Theoretic Perspective
- CRISP: Cliff-awaRe Input-adaptive Sparse Prefilling with Structural-Mass-Motivated Routing
- Looped Transformers under the Jacobian Lens: Does the Global Workspace Survive Recurrence?
- Automated Maize Ear Phenotyping Using 3D Reconstructions
- Basin Geometry and Reliable Recall of Dynamical Memories in Reservoir Computing
- The Ceiling Is in the Channel: Auditing Learner Gaps and Measurement Frontiers in Clinical Prediction
- Accurate in space, unreliable in time: how LLMs represent national cultural change
- TAPVid-MV: A Benchmark for Tracking Any Point in 3D Across Multiple Views
- OutageDiT: A Generative Foundation Model for Power Outage Forecasting and Scenario Simulation
- SignMatch: Matching Dictionary Signs to Continuous Sign Language Video
- RAFT-DVC: Resolution-Aware Machine Learning-Based Digital Volume Correlation
- Latent unified smooth Hamiltonians for excited state chemistry
- The Memory Trust Gap: Capability-Dependent Failures in Persistent-Memory Agents
- SSAKG 2.0: An Open-Source Package for Structural Associative Sequence Memory and Context-Based Retrieval
- Cite or Decline: A Strict Course-Grounded Chatbot for STEM Lecture Videos
- Cross-Model Distillation of a Human-Pose Foundation Model from Unannotated Infant Video for Markerless 3D Pose Estimation
- Import What You Need: Learning When and How to Augment EHR Graphs with External Knowledge
- Architecting Conversational Data Systems for Stateless LLM APIs: The Hydration Proxy Pattern
- Candidate Generation and Definition-Guided Verification for Sentence-Level Depression Symptom Recognition
- Interpretable Symptom Vectors for Depression in a Large Language Model
- AVERT: Audio-Verified Adjudication for Spoken Dialogue State Tracking
- SliceBridge: Context-Consistent Repair of Corrupted Slice Intervals in T1-Weighted MRI
- Kirin: Animal Motion Generation from In-the-Wild Video
- Zeta-Lite: A Concurrent, Branchable In-Browser SQL Database for Agentic Memory
- Video2Reaction: Training Foundation Video Models to Predict Audience Reaction
- When Does Information Sharing Improve Decentralized Discovery? Aggregation, Independent Rescue, and Equilibrium Selection
- TalkFa: A Unified Benchmark for Farsi Dialogue Generation and Understanding
- Integrated Laser Scanning and Image-Based Topology Optimization Techniques for Detection and Quantification of Visible and Subsurface Structural Defects
- SPD: Single Pass Decoding for Generative Reranking
- Consistency as Regularization for Unsupervised Shadow Removal
- D-FROST: Decentralized Federated pRompt-tuning via Optimal tranSporT for Non-IID and Imbalanced Data
- Improved Automatic Target Recognition in Synthetic Aperture Sonar Imagery Using Large Deep Neural Networks
- How Do Prompt Variations Affect Energy Consumption in On-Device LLMs?
- DESA-TTA: Dynamic EMA and Source Anchoring for Test-Time Adaptation
- Disentangling Statistical Preemption from Entrenchment in Language Models' Avoidance of Overgeneralization
- Efficient Passive Acoustic Monitoring of Killer Whales Using a Two-Stage Detection and Ecotype Classification Cascade
- VakyArth: Evaluating Pragmatic Competence in LLMs across Indic Languages
- CoViT: Instance-Correspondence Contrastive Learning for Vision Transformer
- Ten Architectures, One Error: Shared Failure Modes in Hyperspectral Classification under Spatially Disjoint Evaluation
- Robust Bayesian Inference for Unnormalized Models with Mixed-Domain Data
- Allocate Before You Embed: Adaptive Visual Input Allocation for Video Embeddings
- Dictionary-Guided Mutation Operators for Automated HDL Repair
- Emergence of Fibrations, Compression, and Symmetry Breaking in Artificial Neural Networks
- Toward Explainable and Policy-Aware AI for Carbon Credit Price Prediction: A Research Framework for Emerging Carbon Markets
- Pooling and Drift in Delayed Bandits
- Swin Meets EfficientNet: Lightweight Architectures for GAN-Based Face Forensics
- SCULPT: Training Edge Vision Models for Post-Training Quantization Readiness
- Evidential Deep Learning for Multi-Modal Anti-UAV Detection
- When Can a Machine Trust a Statute? A Survival Certificate for Machine-Extracted Legal Logic
- ZipTok3D: High-Fidelity 3D Tokenization with Compact Token Prefixes
- UAV Thermal Imagery for Inert Ordnance Screening: Multi Campaign Dataset Development,Object Detection, and Practical Recommendations
- SpeakPay: Domain-Adaptive LoRA Fine-Tuning of Whisper for Low-Resource Nepali Financial Speech Recognition
- HEAT: Faster Fully Homomorphic Inference via Approximations-Weights Co-Adaptation
- RecKAN: Kolmogorov-Arnold Networks with a Learnable Recursive Polynomial Basis
- From Visual Cues to Spoken Narration: Rethinking Audio Description
- Generative Diffusion Surrogates with Analytical Variance Schedule
- Tri-Band Channel Measurement-Enabled Multi-Layer Digital Twin for Terahertz Wireless Data Centers
- Median-of-Means as an Extremal Convex Estimator and a Nonconvex Route to the Trimmed Oracle
- Learning Evidence Sufficiency Boundaries for Selective Answering in Grounded Multi-Hop QA
- Meta-ethics and AI: exploring the novel meta-ethical questions in the era of AI
- FORGE: Forward-Only Test-Time Adaptation for Integer-Only Vision Models on Microcontrollers
- A Survey on Self-Improving Test-Time Intelligence: Feedback-Driven Adapting, Learning, and Scaling at Inference
- Random Forest-Informed Cellular Automaton for Large-Scale Wildfire Spread Modelling
- CliffRank: A Dual-Branch Framework for Activity-Cliff Ranking Prediction
- Ranked by the Matcher: A Reproducibility Audit of Knowledge Graph Extraction from Threat Reports
- Private Computation Space: Experience with Trusted Multi-Cluster Federated Learning for Agriculture
- Uncovering Understanding-Generation Synergy in Native Unified Multimodal Models: From Representation, Task to System
- Beyond Scores: Understanding LLM-as-a-Judge Mechanisms in Summarization Evaluation
- Adaptive Critical Token-Aware Retrieval for Repository-Level Code Generation
- UI-VISA: U-Net Initialized Vascular Image Segmentation Architecture
- Facet-0: A Robotic Foundation Model for Contact-Rich Precise Manipulation
- Mechanism Design for Alignment and Control
- StudentSim: Training LLM-based Student Simulators
- Designing Proactive Thought Partners for Writing
- The Structure of Quantization Damage in LLMs: Why the Next Bit Should Be Spent Globally
- A Benchmark for Vehicle Attribute Classification in Cross-Domain Surveillance Scenarios
- Simultaneous Pointwise Majorization for Mixed Tail Processes with Applications in Gaussian Chaos and Ergodic Diffusions
- Closing Cost-Quality Gap in Document VLMs: Difficulty-Aware Data Curation and Quality-Adjusted Deployment Economics
- Scaling Near-Optimal SFT-RL Annotation Budget Allocation from Small to Large LLMs
- From Production Traffic to Post-Training: Building a Self-Hosted LLM That Covers the Corporate Request Mix
- From Confusion to Clarity: Confusion-Aware Retrieval and Knowledge Injection for Text Classification
- A systematic Approach to constructing a Chance-and-Risk Matrix for Semiconductor Supply Chains
- Gradient-Update Mismatch: Rethinking Conflict-Free Training of Physics-Informed Neural Networks
- BS: Take the Hint - Interactive Multitracer PET/CT Lesion Segmentation with a Scribble-Conditioned ResEnc U-Net
- Can LLMs Discover Scientific Laws in Real and Parallel Worlds?
- What, Where, and How: Probing Spatiotemporal Representations in Video Foundation Models
- Linear Reusable Neural Bases Architecture for Network Compression
- SDARE-Bench: Evaluating Large Language Models on Conversational Stigma Detection and Response in Dyadic and Group Dialogue
- Variable Selection for Feature-Based Newsvendor
- Can LLMs Design Video Coding Tools? A Case Study on Planar Mode
- Revisiting Cross-View Completion: Self-Supervised Pre-Training via Reconstruction Error Comparison
- Sierpi'nski--Knopp Wasserstein Distance for Persistence Diagrams and Applications to 2-Wasserstein Approximation
- EvoSCM: Scientific Belief Revision Through Causal Model Evolution and Experimentation
- Relational-Core Graph Analytics Querying graphs at SQL scale, and why the node/edge model is a performance tax, not a truer picture of connected data
- A Sensor-Adaptive Incremental Learning Framework for Artifact Detection in Satellite Precipitation Data
- Benchmarking Spatial, Spectral, and Self-Supervised Cues for Face Forgery Detection under Realistic Degradation
- Optimizing Byzantine Node Placement in Decentralized Federated Learning
- Rethinking Learnability in Offline Data-driven Optimization
- Defense-as-Skill: Evolving Runtime Guard Skill for Skill-Augmented Agents
- CameraEditor: Camera-Controlled Image Editing via Video-Prior Sequential Modeling
- RadMatch: Auditable Radiology Report Evaluation via Finding-Level Matching
- AutoConcept: Training-Free Concept-Guided Reranking for Metadata-Available Composed Image Retrieval
- Edge-Girth as a Structural Edge Feature for Graph Neural Networks
- Citing Less Critically: LLMs Reshape the Rhetoric and Reach of Scientific Citation
- Efficiently Estimating Optimal Hyperparameter Scaling Laws through Power-Law Entropy Search
- Learning Sparse Decision Trees via Transformer Variational Auto-Encoders
- Pix2Rep-v2: Data-Efficient Representation Learning for Dense Medical Imaging Applications
- Semantic-Guided Multimodal Preprocessing for Vision Transformer-Based Clear Cell Renal Cell Carcinoma Grading
- CATeye: Coupled Attribute-Topology Invariance Learning for Voucher Abuse Detection
- MegaStyle++: Scaling Image Style Space through Hierarchical Style Definition
- From Rollouts to Recipes: Self-Contained Post-Training for LLMs
- Predicting Subsurface Abnormalities Growth using Physics-Informed Neural Networks
- On the Reliability of Generative Augmentation: A Wasserstein-Based Theoretical and Empirical Study
- Neuro-Symbolic Geometric Abstraction (NeuSOGA): From Observations to Symbolic Mathematical Representations
- Contribution-Aware Bandwidth Allocation for Multimodal Split Learning
- Measuring consistency via ensemble margin and local prediction variability: Auditing decision systems in the presence of predictive multiplicity
- Scale-based Approach for Active Wildfire Segmentation on Satellite Imagery
- Multimodal RGB-Infrared Combination for UAV-Based Wildfire Segmentation: A Comparative Study on FLAME3
- When Tokenization is Secretly Output Supervision
- Polish ModernBERT: The Long and Short of Polish Language Understanding
- Behaviorally Effective LoRA Writes Are Sparse and Structured
- Diffusion Based Unpaired Data Learning for Inverse Problems
- How Correct Is Your Answer? A Semantic Correctness Framework for Open QA Evaluation
- Accurate Reconstruction of Gas Turbine Blade Geometry Using 3D/2D Rigid Registration and CT View Optimization
- PopPert: Population-level Joint-Distribution Modeling for Single-Cell Perturbation Prediction
- Separating Syntax from Language: A Mechanistic Account of Translation in Multilingual LLMs
- Exact Risk-Complexity Laws for Projective Boundaries in Scenario Optimization and Distribution-Free Certification
- Where the Verifier Fails: A Category-Level Audit of Reward Signals in RLVR
- SymFold: Synergizing Evolutionary and Structural Priors for Accurate Protein Inverse Folding
- CHARM: Character Hallucination for Multicultural Role Play Benchmark
- Scalable Rao-Blackwellized Online Planning for High-Dimensional POMDPs
- Cheap Verifiers, Large Blind Spots: Measuring the Reliability Cost of Cost-Saving Cascades
- ExBind: A Controlled Diagnostic Benchmark for Visual-to-Executable Correspondence
- Probing Factual Knowledge Transfer with Training Data Interventions
- LEAP: Likelihood Elicitation and Aggregation for LLM-based Probabilistic Forecasting
- Bandits in Prod: Hyperparameter Optimization at Inference Time
- Automated Event Log Generation from Unstructured Text Using Finetuned LLMs
- Matched Queries for Curvature and Density at Branching Junctions
- MIDR: Enrichment-Augmented Indexing for Multimodal Document Retrieval
- A Composable Evaluation System for Reproducible Omni-Modal Foundation Model Evaluation
- One-Layer Transformer Provably Learns Multiclass One-Nearest Neighbor in Context
- GazeRefine: Expert Gaze as a Test-Time Prompt for Training-Free Medical Image Segmentation
- CMRVision: A Foundation Model for Cardiac MR Image Analysis
- MeshSplatBench: A Unified Benchmark for Triangle- and Mesh-Based Neural Rendering
- Relational Task Generation Language: A Declarative Specification Framework for Relational Deep Learning
- Agentic Multimodal Models for Environmental Hyperspectral Unmixing
- Analog-DB: An Agent-First Analog Integrated Circuit Database, From Blocks to Systems
- HiLRP: Toward One Trustworthy Explanation for Vision Transformer: Conservation-Valid Attribution via Attention Primitives
- Some Emotions Run Deeper: Layer-wise Probing and Causal Intervention in Large Language Models
- Seeing the World and the Self from Egocentric Video
- The Constitutional Coverage Trilemma in AI Governance
- From Base Rollouts to RL Reasoning: A Budgeted Search Perspective
- Position: Privacy Is a Claim, Not a Property of Synthetic Data
- Solving In-Table Prediction Problems by Deep Neural Networks with Performance Evaluation Using Synthetic Data
- Dual Process Motion Planning
- Measuring the Behavioral Fidelity of Long-Horizon Human Activity Simulations
- MeRoPE: Metric Rotary Position Embedding for Camera-Controlled Video Generation
- From Language to Behavior: Scaling Sequence Transformers for Industrial Recommendation Ranking with Rec-Native Designs
- MutMem-V2: Cryptographically Authorized Mutation in Persistent Agent Memory Portable Verification and Reproducible Evidence
- Multi-Head Self Attention is a Parameter Identification Mechanism
- Prompt-Robust Language Models: Which Training Strategies Work?
- Recent Developments in Transformer Inference Deployment on FPGA Platforms: A Survey
- Who Judges the Judges? A Chinese Safety QA Benchmark for Evaluating LLM Responses and Safety Judges
- Autonomous discovery of new structure-plausibility laws for explainable and rapid crystal diagnosis and screening
- Towards AI-Assisted Clinical Trial Matching: Practical Considerations, Multicenter Evaluation, and Real-World Deployment
- FinLifeBench: Exhaustive Life-Event History and Financial-State Reconstruction from Longitudinal Banking Dialogue
- CaRL-EM: Cost-Aware Reinforcement Learning for Entity Matching with LLMs
- Births are difficult to predict even with rich survey and full-population register data
- Athena: Vulnerability-Affected Library Identification via Knowledge Graph Completion
- LLMPEDIA: Browsing, Verifying, and Comparing the Parametric Encyclopedic Knowledge of LLMs
- Monocular Depth Estimation from a Single Image: Progress and Opportunities
- Pre-carved Niches: The Formation Dynamics of Modular Task Partitions in Early LLM Training
- Nonparametric inference for density-dependent McKean--Vlasov diffusions
- Superposed Latent Autoencoder
- Subword Segmental BabyLMs: Learning to Tokenise for Sample-Efficient Pretraining
- Dotting the Eye: An Intent-Driven Image Retouching Agent for Visual Focus Enhancement
- StainPresetNet: Stain Preset Network for Fast Multi-to-Multi Stain Normalization
- Revisiting Face Recognition for Monozygotic Twins: The Celeb Twins Test Set
- Does task decomposition improve automatic NLG evaluation?
- Different Changes Require Different Reasoning: Change-Type-Specialized Experts for Robust Change Captioning
- Overfitting Mitigation via Singular Value Decomposition in Minimum Bayes Risk Decoding
- Scaled Idempotence in Transformer Attention: Paired OV Geometry and Shared-Value Algebras
- When Does Online Adaptation Pay on the Edge? A Leakage-Free Evaluation of Warmup, Learning-Rate Selection, and Resource Trade-offs for Time-Series Forecasting
- DNC-IMM: Early Lane-Change Intention Recognition via Neural Calibration Based on Driving Context Information
- EDRAC: Benchmarking Arabic Dialect Reading Comprehension
- Replicating TRACE: A Practitioner's Guide to Its Threshold and Particle Budget
- Hints Help But Do They Teach? Evaluating Skills Transfer in Code Generation
- When Modality Gap Reduction Fails: Prediction-Level Hubness in CLIP
- Neural Symbollic Regression Using Deep Learning and Sparse Modelling
- IT-TextFusion: Iterative Text-Image Interaction with Text-Guided Residual Refinement for Degradation-Aware Image Fusion
- Modelpedia: A Catalog of Model Findings for the Meta-Science of AI
- StateSwap: Probing Support-Elimination Hidden States in Multiple-Choice Questions
- Post-hoc Alignment of LLM-judges to Human Judgment Distribution
- Let Confidence Change, Not the Prediction: Prediction-Preserving Repair for Post-hoc Calibration
- Artificial Rosetta Stone: Constrained Maximum A Posteriori (MAP) Reconstruction of Symbolic Raga Sequences via Order-k Markov Models
- Space Generative AI with Solar Energy Harvesting
- Lightweight Interpretable RGB-Guided Hyperspectral Super-Resolution under Real Cross-resolution Misalignment
- User Representation via Cross Multi-source Behavior Pre-training for Mobile Games
- SAGE: Subpopulation-Aware Generative Enhancement for Mitigating Spurious Correlations
- QILP-0: Constructing Observational Declarative Twins of Quantum Circuits
- ViTAMINS: An Empirical Study of Training Self-Supervised Vision Transformers with Synthetic Hard Negatives
- Causal Evidentiary Governance for High-Risk Machine Learning Systems
- MultiGait: A Multi-Sensor Multi-Perspective Multi-Session Biometric Inference Benchmark and its Dataset
- The Multiple Timescales of Gradient Descent on the Edge of Stability: A Perturbative Derivation of the Central Flow
- On Synthesis of Metric Interval Temporal Logics
- Web Price Extraction: State of the Art and an Adaptive Browserless Implementation
- Fi-ImageNet-1k: An OOD Benchmark From the Inside of the ImageNet-1k Validation Set
- PyDoseRT Proton: A GPU Pencil-Beam Engine with a Convolutional Residual-Correction Network for Fast Proton Dose Calculation
- Phrase-Localized Language-Contrastive Guidance: Training-Free Localized Accent Control for Code-Switching Text-to-Speech
- A Network Science Perspective on Evaluating Deep Graph Generative Models
- Low-Quality Face Recognition using Center Aligned Representations and Local Margin Constraints
- Figures as Programs: Recursive Generation of Editable Scientific Figures
- Right Frame, Wrong Rule: Cultural Cues Expose the Financial Knowledge Gap They Were Meant to Close
- Inspicio: Open-Vocabulary, LLM-Based Sense Retrieval for Historical Languages
- Does This Moment Justify the Recommendation? Counterfactual Behavior-Grounded Evidence Retrieval for Personalized Video Recommendation
- CQF-HMR: Continuous Quaternion Flows for Probabilistic 3D Human Mesh Recovery from a Single Image
- EvoGS: Modeling Deformation Evolution for Dynamic Gaussian Splatting
- On the Human and Computer Alignment of Attribute-Based Music Matches
- Semi-Supervised Virtual Staining via Morphology Preservation and Histopathological Realism Constraints
- Prior-Guided Implicit Neural Representations for Single-Subject Diffusion MRI Super-Resolution
- The zbMATH Open Knowledge Graph: Tracing Centuries of Mathematical Research
- Few-Shot Out of Domain Intent Detection with Covariance Corrected Mahalanobis Distance
- Candidate-Expanding Routing with Permutation-Stabilized Experts for Mixed-Format Medical VQA
- PersianAnonymizer: Evaluating LLM-Labeled Training for Efficient NER-based Anonymization in Persian
- PredErase: Training-Free Object-and-Effect Removal with Predictive Latent Guidance
- CERF: Communication-Efficient and Retraining-Free Collaborative Perception
- Embedded Conditional Independence Tests for Large Language Model Generated Text with an Application to German Parliament Speeches
- A Dataset for Modeling Iterative Problem-Solving
- Beyond the Image Plane: World-Grounded Queries for Multi-Object Tracking
- On-the-Fly3R: Towards Robust Online 3D Reconstruction with Feed-Forward 3R Models for Large-Scale UAV Scenarios
- VerNav: Verifier-First Low-Latency Vision-and-Language Navigation
- RPCBench: A Benchmark for Proactive Premise Critique in LLM-based Recommendation
- A multicenter benchmark and clinically structured metric for coronary CTA report generation
- When Metropolis and Hastings Meet Bradley and Terry: Exact MCMC From Preference Voting
- In-Context Neurofeedback: Can LLMs Control Their Internal Representations through Privileged Access?
- HELIOS: From midnight to noon, continuous outdoor urban scene relighting
- Direct Optimization of a 3D Finite-Source Reflector via Neural-Network Parameterization
- Vision-Language-Guided Pseudo-Labels for Unsupervised Domain Adaptation in Semantic Segmentation for Waste Sorting
- Poisson-Gamma Dynamical Systems with Time-varying Transition Dynamics
- CARE: Contrastive Anchor-based Rubric Evolution for Large Language Model Post-Training
- iPINN for Broadband CARS Phase Retrieval: A Framework for Function Approximation and Inverse Modeling Problems in Nonlinear Spectroscopy
- FractalNet-Based Heterogeneous Federated Learning for Orbital Edge Intelligence in Satellite Mega-Constellations: A Wildfire Case Study
- Sharp Mixed Spectral Barron Regularity of Coulombic Many-Electron Wave Functions
- Stochastic Optimization of Tree Tensor Networks
- MemoryWalker: Stop Training Agents on Contexts They Never Saw
- Verifiable Disaster Storylines and Causal Knowledge Graphs: A Citation-Grounded Pipeline from Heterogeneous Humanitarian Sources
- Does Fault Localization Beat a Fresh Attempt? A Placebo-Controlled Study of Test-Guided Code Repair
- ADGNet: Asymmetric Dual-text Guided Network for Infrared Small Target Detection
- A Checklist to assess the energy and carbon impacts of ML/AI applications in Earth System Modeling
- An Intelligent Decision Support System for Emotion Monitoring using Microscopic Fixational Dynamics
- Staged Linguistic Seeding: Grounded Query Expansion for Verified-Unit QA in AI Contact Centers
- Residual Kalman Dynamics for Event-Based UAV Forecasting
- Probabilistic Model Checking of Autoregressive Neural Sequence Models
- Replacing Training with Memory: Listwise Selection for Text-to-SQL
- TWIX: a Two-Stage Approach for End-To-End Named Entity Recognition and Relation Extraction
- FLaG: Frequency-Domain Latent-attention Gated Pooling for Token Aggregation
- HarnessEvolve: Learning from Reference Trajectories for Reliable Agent Self-Evolution
- Polished but Unresolved: Identifying Late-Stage Pressure States in Long-Horizon Tool-Use Agents
- AnalysisBank: An Expert Analysis Pattern Library for Financial Report Generation
- Can Scene Text Recognition Read Rare Compositions?
- RingMoClaw: An Experience-Inspired Multi-Agent Framework for Self-Evolving Research in Remote Sensing
- Ctrl-F-Resist. Practices, Challenges, and Technical Needs of Civil Society Organizations Monitoring the Far-Right Online
- Towards a Reliable and Practical Eval Pipeline
- TEIDAN: A Multilingual Multiparty Dialogue Corpus
- No Pixel Left Behind: Filling Gaps in Anime Colorization
- SFAD: Speculative Factuality-Aware Decoding
- MADS: A Multiview Acoustic Descriptor Set Beyond Standard Spectral Summaries
- Subspace Levenberg Marquardt Algorithms in Training Neural Networks
- StudyBench: Can Self-Evolution Squeeze Textbooks for Olympiad Capability?
- When Features Become Instances: Inverted Contrastive Learning for Unsupervised Feature Selection
- VOIM: Training-Free Open-Vocabulary 3D Instance Mapping for RGB-D and Monocular SLAM
- Semi-Supervised Classification with Informative Missing Labels in Weibull Mixture Models
- Deep Skew-t Mixture Models
- Learning What to Practice: Diagnosis-Guided Self-Evolution for Language Models
- Frozen Cores Need Task Signal: Fisher-Whitened Cross-Covariance for Low-Resource LLM Adaptation
- A Unified Mechanistic Analysis of Knowledge- and Safety-Based Refusals
- Compile, Don't Memorize: A Context Compilation Architecture (CCA) for In-Context Learning
- Joint Training Is Not Enough: Conditioned Cross-Granularity Training for Multimodal Document Understanding
- How Do Language Models Choose Between Context and Memory?
- Measuring Optimal Transport in Transformer Depth
- Can Large Language Models Forecast What Researchers Study Next?
- Feed-Forward Multi-view Multi-person Reconstruction with Contrastive Human-Aware 3D Representation
- Mind the Rift: Cross-Scale Coupling Mismatch for AI-Generated Video Detection
- Online Self-Weighted Fine-Tuning
- Design and Implementation of a Kalman Filter-Infused Algorithm for Tilt Estimation
- SOVER: Formal Certification of Optimization Reformulations via LLM-Assisted SMT Verification
- Heard but Not Heeded: Paralinguistic Information Encoding and Loss in Audio-Language Models
- MaskCode: Mask Transformer for Feedback-Assisted Coding With Linear Block Codes
- Efficient and Robust Absolute Pose Estimation via Gravity-Prior-Driven Transformation Decoupling and Pose Refinement
- Prediction-Assisted Pricing and Admission for LLM APIs with Stochastic Token Consumption
- Differentially Private Paired Table-Image Multimodal Synthesis
- A Certificate-Producing Cascade for Equational Implication: The SAIR EQT2 Stage 2 Solver
- FTU-Seek: Foundation Model-Guided Hard-Negative Learning for Sparse Functional Tissue Unit Segmentation
- Value Over Language Model: Detecting Original Contribution in Writing
- MUGEN: Generating Unlearnable Graph Examples for Multiple Learning Tasks
- Verdict Instability of OOD Scores under Reference Resampling
- A Study of Hidden-State Optimization Order in Predictive Coding Networks
- Visual Framing for News Stance Detection via Image Generation
- DGNet: Dual-knowledge Guided Network for Infrared Small Target Detection
- Triple-Bottom-Line Sustainability of Language Models for Edge AI: A Comparison Between SLMs and Quantized LLMs
- Drift-Aware LLM Routing with Sparse Contexts and Shared Budgets
- Do Satellites See Commuters? A Critical Benchmark of Vision Foundation Models
- Physically Plausible Video Generation via Visual-Semantic Chain-of-Events Conditioning
- SciTrue: Reliable Scientific Claim Validation with Frontier and Open Language Models at the NTCIR SciClaimEval Task
- EEG-AS: Instance-Level Foundation Model Selection for EEG Foundation Models via Behavior Reconstruction
- DK-GBMKKM: Dynamic Kernel-Space Granular-Ball Multiple Kernel k-Means Clustering
- DramaChain Bench: An End-to-End Benchmark for Short-Drama Generation
- Disciplined Bilevel Programming
- REVISE: Validity-Guided Recovery for Online Revisions in Agent Workflows
- TUTTI: Toward generalizable audio-to-score transcription via fully synthesized data
- Beyond Landmark Extraction: A Framework for Robust Geometric Feature Construction in Structured Image Classification
- Breaking the Structural Identity: Personalized Federated LoRA Fine-tuning under Rank Heterogeneity
- Restrict, Don't Retrain: Inference-Time VLM Guidance for Zero-Shot Aerial Segmentation
- Inverse Rendering for Modeling with Line Primitives
- Towards Effective Structured Context Modeling for Conversational Recommender Systems via Dual-node Monte Carlo Tree Search
- An efficient EM algorithm for both element-wise and structural missingness in matrix-variate normal mixture models
- BeamRMX: Radiation-Pattern-Driven Learning for Generalizable Beam Radio Map Prediction and Beam Management
- Panda Diplomacy: Foundation Model Pre-training across Particle Imaging Detectors for High Energy and Nuclear Physics
- Investigating Assistant Bias in LLM User Simulators Using a Role Vector
- Topological Steering
- BrainDiff: Longitudinal Report Generation for Multimodal Brain MRI
- Quit While You're Ahead: Quit for Efficient Candidate Generation in Machine Translation Reranking
- Real-Time Neuromorphic Spectrum Intelligence Simulator
- Socrates went Nuclear: Comparing Interaction Strategies for AI systems in a Learning Context using Brain Sensing
- Enoki: Efficient Multi-Level Hallucination Detection
- Predicting Program Exit Code with LLMs and Programming Language Semantics
- Same Request, Different Boundary: Evaluating Cybersecurity Assistance across Conversational Contexts
- GeoPAR: Large-Scale Multi-Agent Combinatorial Optimization with Geometry-Guided Parallel Autoregressive Learning
- Consistency Without Alignment: Item-Sensitive Language Models Indistinguishable From Random
- A Mathematical Framework for Legacy, Governance, and Decision Integrity in Enterprise AI
- VoiceLongMemEval: Do Assistants Remember How You Sounded?
- EEG-VID: Task-Guided Latent Predictive Pretraining for EEG Decoding and Assistive Target Selection
- Aligned but Flattened: Analyzing the Trade-off between Cultural Alignment and Diversity in LLMs
- Potential-Guided Particle Steering for Negation-Constrained Dexterous Grasping
- Manifold-Aware General Coded Computing for Straggler-Resilient Distributed Computing
- EM^2Mem: Event-Centric Multimodal Memory for Large Language Models
- Runtime-Independent Persistent Agents: Preserving Identity, Memory, and Code Across Models, Harnesses, and Servers
- GenONet: A Generative operator Network for High-Resolution Precipitation Nowcasting
- DeSyR: A Decoupled Symbolic Recovery Framework with PINN-Guided Structure Search and Physics-Informed Coefficient Refinement
- Why Multi-Layer Message Passing Works: Completeness Theory for Graph Neural Network Interatomic Potentials
- GenScale: A Benchmark for Relative Object Scale in Image Generation and Editing
- Soft-Argmax for the Projective Plane via the Veronese Embedding
- The Safeguard Worked. Is the LLM System Safer?
- Learning Task-Specific Antibody Representations via Function-Aware Masking
- The Interlingua Hypothesis: LLMs Translate via a Latent Task-agnostic Feature Space
- When the Algorithm Becomes the Brand Crisis: A Sociotechnical Theory of Distributed Responsibility and Accountable Transparency
- CoVer: Conflict-Aware Claim Verification
- VATO: A Vortex-Force-Aware Transformer Operator for Unsteady Separated Aerofoil Flows
- RecalibrateGPT: AI Fatigue Resilient Conversational Interfaces
- ViTAL-X: Video-Text Alignment with Cross-Modal Temporal Edits
- Wave Function Backpropagation with Explicit Temporal-Interval Dynamics