Papers
Mon 10 Aug 2026
507 papers
- WatchPoint: Executable User Feedback for Real-World Agentic Web DevelopmentLLM agents and tool use → Software engineering coding agents
- Dynamic Deep Prompt Optimization for Defending Against Jailbreak Attacks on LLMsLLM safety and security → Jailbreaking
- GDLAM: Group-Disentangled Latent Action Model for Highly Disentangled Embodied PretrainingWorld models → Embodied and robot world models
- Vision-Language Models as copilots for Autonomous UAV Navigation: Analysis of Latency and Reliability in Degraded EnvironmentsLLM reasoning → Spatial and embodied reasoning +1
- Self-Evolving Skills via Surrogate-Guided Solve-and-ReproduceSynthetic data and self-improvement for LLMs → Self-evolving LLM agents
- Mamba-based Selective State Space Modeling Improves the Accuracy-Complexity Tradeoff of SmolVLA Vision-Language-Action ExpertsVision-language-action models → Generalist VLA models and benchmarks +1
- Deep Analog: Open-Set Film Emulation with Reference-Conditioned 3D LUTsMixture-of-experts → Vision mixture-of-experts
- Toward a Theory of Value in AI AlignmentLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Do Personalized Skills Help Coding Agents? An Empirical Study of Developer Interaction HistoriesLLM agents and tool use → Software engineering coding agents
- From Detection to Understanding: TAR and TAR-Bench for Multi-Task Traffic Anomaly ReasoningLLM reasoning → Chain-of-thought reasoning for driving
- Co-Evolution in Agentic Systems: Toward Self-Directed Evolution Beyond Human DesignLLM agents and tool use → General LLM agent frameworks and benchmarks
- TRACE-GS: On-Policy Trajectory Distillation with Privileged Geometric Conditioning for Sparse-View 3DGS RestorationDiffusion models → 3D, point cloud and scene generation
- From Prompt Injection to Web Exploitation: Revisiting Classic Vulnerabilities in LLM-Integrated ApplicationsLLM agents and tool use → Agent threats, guardrails and governance +1
- Withholding the Completing Chunk: Exact Release-Boundary Equivalence for Production Streaming GuardrailsLLM safety and security → Safety alignment, refusal and guardrails
- Chain of Spatial Thoughts: Modality-Agnostic Spatial Grounding for Vision Language ModelsLLM reasoning → Spatial and embodied reasoning +1
- Not a Monolith: Lab-Level Divergence in the Cooperative Equilibria of Chinese Frontier LLM AgentsLLM agents and tool use → Social simulation and multi-agent debate
- FACT: Failure-Aware Causal Training for World-Action ModelsWorld models → Embodied and robot world models
- Self-evolving Agentic Customer Support System at LinkedInLLM agents and tool use → General LLM agent frameworks and benchmarks +1
- Mind Viruses: Self-Propagating Ideas in Multi-Agent LLM SystemsLLM agents and tool use → Agent threats, guardrails and governance
- Mitigating Bus Bunching with Reinforcement Learning Enhanced by Semantic Stop EmbeddingDeep reinforcement learning methods → RL for autonomous driving and traffic
- Boundary-Seeking Policy Gradient for Safe Reinforcement LearningDeep reinforcement learning methods → Safe and constrained RL
- Post-Hoc Sparse Coding of Latent Communication Between Vision-Language Model AgentsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning +1
- TRACE: Trustworthy Retrieval-Augmented Conversational EngineRetrieval-augmented generation → RAG robustness and adaptive retrieval
- DoseBridge: Denoising Diffusion Bridge Model for Dose Prediction in Lung Intensity-Modulated Proton TherapyDiffusion models → Medical imaging and segmentation
- Intrinsic Structure: Spectral Identifiability for Mechanistic InterpretabilityMechanistic interpretability → Circuits and mechanistic analysis
- Generating Attacks for LLMs with GFlowNetsLLM safety and security → Prompt injection and agent security
- MarkNull: Model-Agnostic Watermark Removal in AI-Generated Images via On-Manifold Latent ManipulationLLM safety and security → Watermarking generated content and models
- MAD-HOI: Masked Autoregressive Diffusion for Generating Articulated Hand Object Interactions from TextDiffusion models → Diffusion and flow policies for robotics
- SBCO: Self-Supervised, Verifier-Grounded Harness Optimization For Planning AgentsSynthetic data and self-improvement for LLMs → Self-evolving LLM agents
- Multimodal Item Parameter Estimation using Simulated Response ProbabilitieMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- The CASE Framework: A Multi-Disciplinary Control Architecture for Governing Enterprise Agentic AILLM agents and tool use → Agent threats, guardrails and governance
- REATS: LLM Reasoning-based Ensemble Learning for Adaptive Time Series ForecastingLLM reasoning → Time series reasoning
- The Evaluation Protocol Determines the Result: An Independent Reproduction of LeWorldModel on TwoRoomWorld models → Embodied and robot world models
- Procedural Fairness Failures in RLHF from Preference AveragingLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- 4D-WAM: 4D Consistent World Modeling for Autonomous DrivingWorld models → World models for autonomous driving +1
- UserToolBench: A User-Profile-Hidden Benchmark for Personalized Decision Making in Tool-Use LLMsLLM agents and tool use → Tool learning and function calling
- FlowScout: From Execution Feedback to Reliable Tool-Using Agent WorkflowsLLM agents and tool use → Software engineering coding agents
- DOCSCHISEL: Adaptive Tool Documentation Optimization Framework for LLM AgentsLLM agents and tool use → Tool learning and function calling
- Perception Before Supervision: Self-Contained Visual Distillation from Counterfactual Blind SpotsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
- Multimodal Model Diffing for Feature Discovery and ControlMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
- Learning How the World Evolves: Extrapolative Video World Models via Latent Dynamics ReasoningWorld models → Latent predictive world models +1
- DistMoE: Private-data Rehearsal-free Routing in Mixture-of-Experts for Distributed Instruction TuningMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
- Decoding-Level Taboo: A Diagnostic Stress Test for LLM RobustnessLLM safety and security → Safety alignment, refusal and guardrails
- Consilience for Verifier-Free Test-Time ScalingLLM reasoning → Test-time compute and efficient thinking
- Fusion Training for Mathematical Generalization in Large Language ModelsLLM reasoning → Mathematical reasoning
- BDH-CQ: In-Context Learning with Recurrent Latent ReasoningLLM reasoning → Test-time compute and efficient thinking
- SHE: Trajectory-driven Safety Harness Evolution for LLM AgentsLLM agents and tool use → Agent threats, guardrails and governance
- Energy-Structured Latent World Models with Neural Time Fields for Physically Constistent Open-World Motion PlanningWorld models → Latent predictive world models
- ArchAgent v2: A Case Study with the Data Prefetching ChampionshipLLM agents and tool use → Software engineering coding agents
- Sci-VBench: Evaluating Knowledge- and Reasoning-Intensive Video Generation in Science DomainsLLM reasoning → Multimodal reasoning
- Stealing Reasoning Traces from Proprietary LLM APIsLLM reasoning → Reasoning for agents, planning and code +1
- Agentic Harnesses: LLM-Driven Verification Layers for Robot AutonomyLLM agents and tool use → Agent threats, guardrails and governance
- The Greatness of Science Cannot Be Planned: Agentic Auto-Research is Fuzz TestingLLM agents and tool use → Web, search, and research agents
- RynnValue: Scaling Robotic Value Foundation Models with Temporal DistanceLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Mismatch Matters: On-Policy Distillation Beyond Token AgreementKnowledge distillation → On-policy and self-distillation for LLMs
- Distill Skills into Weights, Not Prompts: Abstract Skills as Privileged Signals for On-Policy Self-DistillationKnowledge distillation → On-policy and self-distillation for LLMs
- MedPixel: A Unified Pixel-Language Model for Medical Reasoning and SegmentationLLM reasoning → Clinical and biomedical applications
- Hierarchical Fast-Slow ReAct Agent for Zero-Shot Object-Goal NavigationLLM agents and tool use → Multimodal and embodied agents
- SWE-Bench ProMax: Benchmarking Agents on Large-Scale Multilingual Code RefactoringLLM agents and tool use → Software engineering coding agents
- SpecPath: Testing Coding Agents Across Contract-Equivalent Specification HistoriesLLM agents and tool use → Software engineering coding agents
- CARD: Controlled Agentic Reddit Discussions for Credit Card SimulationLLM agents and tool use → Social simulation and multi-agent debate
- ADOPD: Reference-Privileged On-Policy Distillation for MLLM-Based Industrial Anomaly DetectionKnowledge distillation → Detection and dense prediction distillation
- KGCaRe: Explainable Complex Conditional Question Answering using Automatic Knowledge Graph Construction and Context Retrieval with LLMsRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- PragMatch: Separating Pragmatic Incongruity from Cross-Modal Mismatch in Large Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- SLIM-0.5B: Learning Action-Grounded Predictive Latents for Robot ManipulationWorld models → Embodied and robot world models +1
- Efficient Real-World Online Reinforcement Learning for Robot Manipulation via Centralized Training and Critic DecompositionDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Disentangling Co-Occurring Retinal Pathologies with Saliency-Guided Sparse Expert RoutingMixture-of-experts → Medical and biomedical MoE
- SR-OPSD: Self-Referenced On-Policy Self-DistillationKnowledge distillation → On-policy and self-distillation for LLMs +1
- Rethinking Factor Sharing in Federated LoRA: A Rank-Aware Adaptive ApproachLLM reasoning → Test-time compute and efficient thinking
- ColluSkill: Adversarial Cross-Skill Composition for Evading Agent Skill ScannersLLM agents and tool use → Agent threats, guardrails and governance
- World Tokens: Enhancing Embodied Policies with Training-Time World ModelingWorld models → Embodied and robot world models +1
- Test-Time Scaling for CAD Generation via Verifier-Free Consensus SelectionLLM reasoning → Spatial and embodied reasoning
- Matryoshka Language Model SuitesEfficient LLM inference and serving → Speculative decoding
- Model Discovery Agent: LLM-assisted Bayesian experiment design for data-efficient discovery of mechanistic world modelsWorld models → World models for language agents +1
- Thinking With Tools, Not With Pixels: Tool Calls as Text Scaffolds for Visual ReasoningLLM reasoning → Multimodal reasoning +2
- Hallucination-Free GUI Grounding via Regression-Free Layout-Aware MatchingMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Listwise Cross-Encoder Fine-Tuning vs. Agentic Instruction Tuning for LLM Rerankers: A Systematic Study in Medical Procedure RerankingLLM agents and tool use → Medical and scientific domain agents
- Activation Probes Surface Code-Security Signals that the Model's Output MissesLLM agents and tool use → Software engineering coding agents
- DUET: A Diversity-Quality Duet of Distillation Experts for Two-Step Video GenerationDiffusion models → Video generation
- Rethinking Self-Evolving Agents: Do We Still Need Prescribed Optimization Pipelines?LLM agents and tool use → General LLM agent frameworks and benchmarks +1
- Satellite Trajectory Optimization via Proximal Policy Optimization for Space Debris AvoidanceDeep reinforcement learning methods → RL for robot navigation and UAV control
- Measuring the Wrong Thing: Internal Harmfulness Scores Anti-Rank Successful JailbreaksLLM safety and security → Jailbreaking
- Bayesian Symbolic Regression with Entropic Reinforcement LearningDeep reinforcement learning methods → Interpretable and logic-guided RL
- Marrying Optimal Transport and ODEs for Unified Continuous-Time 4D Reconstruction and TrackingDiffusion models → Flow matching, time series and science
- TSPORec: Token Selection via Preference Optimization for LLM-Based Sequential RecommendationLLM alignment / RLHF / preference optimisation → Preference alignment for recommenders and RAG
- FactorDrive: Adaptive Multi-Step Reasoning Driven by Planning-Critical Factors for End-to-End Autonomous DrivingLLM reasoning → Chain-of-thought reasoning for driving +2
- You Only Flow Once: Calibrated and Real-Time Radar Pose Estimation with Multi-Hypothesis Normalizing FlowsDiffusion models → 3D, point cloud and scene generation
- ElasticBack: Stealthy Conditional Backdoor in LLM-Agent Skills via Coupled Trigger-Rule OptimizationLLM agents and tool use → Agent threats, guardrails and governance +1
- The Politician, the Liar, and the Obedient Worker: Emerging Behavior of LLM Agents in Hierarchical GamesLLM agents and tool use → Social simulation and multi-agent debate
- SonicWeave: Chunk-Routed Mixture-of-Experts for Unified Audio Scene GenerationMixture-of-experts → Multimodal MoE models
- Se-DPO: Self-Evolving Token Credit for Direct Preference OptimizationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- From Runnable to Verifiable: An Independent Reproducibility Study of LLM/Agent-Driven Vulnerability Validation ArtifactsLLM agents and tool use → Agent threats, guardrails and governance
- Bidirectional Context Self-Distillation for Reinforcement Learning of Skill-Based LLM AgentsLLM agents and tool use → Reinforcement learning for LLM agents +1
- Pragmatic Attack Surface: Vulnerabilities of Implicit Context in Large Language ModelsLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- Dual-Adversarial Safety Alignment: Cultivating Intrinsic Threat Comprehension in LRMsLLM reasoning → Reasoning for agents, planning and code +2
- verdi: retrieval is not transfer for continual world model optimizationWorld models → World models for language agents
- Carnot: Interpretable, Interactive, and Optimized Execution of Deep Research QueriesLLM agents and tool use → Web, search, and research agents
- RangeFactory: Scalable Construction of Multi-Hop Cyber RangesLLM agents and tool use → Agent threats, guardrails and governance
- STAIR: Effective Incident Response Using an End-to-End Agentic Planning FrameworkLLM agents and tool use → Agent threats, guardrails and governance
- One Adapter Pair per Model: A Universal Activation Interface for Language ModelsMechanistic interpretability → Activation steering methods
All 507
- HarnessWAM: Bridging Prediction and Deliberation in World Action ModelsWorld models → Embodied and robot world models
- Rethink Before You Execute: Adaptive Execution for World Action ModelsWorld models → Embodied and robot world models
- Capability Is Not Propensity: Measuring Pressure-Robust Cooperative Behavior in Civic LLM AgentsLLM agents and tool use → Social simulation and multi-agent debate
- ActBench: Self-Evolving Benchmark of Behavioral Safety in Cowork AgentsLLM agents and tool use → Agent threats, guardrails and governance +1
- RecoverFly: A Failure-Aware Reinforcement Learning Post-Training Framework for Aerial Vision-Language NavigationVision-language-action models → Aerial and drone VLA +1
- Learning to Modulate, Not to Cycle: Soft Actor---Critic Recovers Inverter-Style Heat-Pump ControlDeep reinforcement learning methods → RL for energy, networks and operations
- Sekai2: From World Exploration to Interactive World ModelingWorld models → Video-generation world models and simulators
- VANE: Reliable Test-Time Training for Vision-Language-Action Models via Future Visual Representation PredictionVision-language-action models → Reinforcement learning and post-training
- WDL-OPD: Weak-Driven On-Policy Distillation via Mixture-Constrained Co-TrainingKnowledge distillation → On-policy and self-distillation for LLMs
- DiffSafeMerge: Mitigating Backdoor Inheritance in Diffusion Model MergingDiffusion models → Robustness, privacy and adversarial aspects +1
- Unveiling the Secret of AdaLN-Zero in Diffusion TransformerDiffusion models → Diffusion foundations and sampling
- Listen, See and Track: Spatio-Temporal Audio-Visual Sound Event Reasoning for Omni-Modal Language ModelsLLM reasoning → Audio-language model reasoning
- Reducing Pretraining-Generation Mismatch in Diffusion Language ModelsDiffusion models → Discrete and text diffusion
- KVDiagnosis: A Diagnostic Benchmark for KV-Cache Compression in Long-Context Language ModelsEfficient LLM inference and serving → KV cache optimization
- Skills in Weights, Memory in Code: Hybrid Learning for Memory-Dependent Robot ManipulationVision-language-action models → Reasoning and chain-of-thought in VLA
- Imaginative Generative AI: Crossing the Entropy Wall into Worlds Beyond ImitationDiffusion models → Diffusion foundations and sampling
- JEPA-WAM: Learning Vision-Language-Action Policies with Joint-Embedding World ModelingWorld models → Embodied and robot world models +1
- CircuitReason-1k: Benchmarking Long-Horizon Visual-to-Symbolic Reasoning inElectrical CircuitsLLM reasoning → Reasoning for agents, planning and code
- Preserve More Details: Mitigating Content Drift in Real-World Image Super-ResolutionDiffusion models → Inverse problems and image restoration
- Test-Time Augmentation for LLMs: When Input Diversity Beats Output Diversity at Matched ComputeLLM reasoning → Test-time compute and efficient thinking
- Beyond Global Editing: Per-Instance Disentangled Subspaces for Training-Free Hallucination Mitigation in LVLMsLLM reasoning → Hallucination detection and mitigation +1
- Control-Oriented Scenario Tree Construction through Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
- DH-VLM: Dual-Horizon Cooperative Latent Reasoning for Autonomous DrivingLLM reasoning → Chain-of-thought reasoning for driving +1
- RAG-Audio: Retrieval-Augmented Generation for Faithful Brain-to-Audio ReconstructionRetrieval-augmented generation → Conversational and speech RAG
- CoRE: Consensus Rewards via Equilibrium for Test-Time Reinforcement LearningDeep reinforcement learning methods → RL training of language and agent models
- Diffusion Image Editing via Asynchronous Token DecodingDiffusion models → Image generation, text-to-image and editing
- Bootstrapping Vision-Language Model for Hysteroscopic Surgical Scene SegmentationMultimodal LLMs / vision-language models → Medical vision-language models
- WorldSimProbe: Diagnosing Simulator Faithfulness in Action-Conditioned World Models for Embodied ManipulationWorld models → Embodied and robot world models
- Beyond the Capability Boundary: Zeroth-Order Optimization for Self-Evolving LLM AgentsLLM agents and tool use → Reinforcement learning for LLM agents +1
- OpenCodeReview: Determinism over Non-Determinism for Cost-Effective Agent-Based Code ReviewLLM agents and tool use → Software engineering coding agents
- UniDFKD: A Unified Semantic Prior Framework for Architecture-Agnostic Data-Free Knowledge DistillationKnowledge distillation → General knowledge distillation methods
- ComboShoppingBench: Evaluating LLM Agents for Budget-Constrained Basket Shopping with CouponsLLM agents and tool use → Social simulation and multi-agent debate
- MMArch: Benchmarking Multimodal Reasoning Grounded in Architectural EvidenceLLM reasoning → Multimodal reasoning +1
- Software Engineering for and with GUI AgentLLM agents and tool use → GUI and mobile agents
- Entropy-based Code Adversarial Translation for Real-world Repository MigrationLLM agents and tool use → Software engineering coding agents
- SoftmaxGRPO: Learning to Reason using Softmax Advantage Group EstimationLLM reasoning → Reinforcement learning for reasoning
- Can Coding Agents Solve Repository-Level Issues with Rendered Code? An Exploratory Study of Visual RepresentationsLLM agents and tool use → Software engineering coding agents
- Did the Grid Erase the Event? EndoClock for Auditing Medical World-Model PipelinesWorld models → Medical and surgical world models
- Privileged Likelihood Is Not Automatically Value: Three Checks for Token Credit in On-Policy Self-DistillationKnowledge distillation → On-policy and self-distillation for LLMs
- Task-Oriented Formation Decision via Reinforcement Learning: Herding an Attacking SwarmDeep reinforcement learning methods → RL for robot navigation and UAV control
- Business Truth, not SQL Accuracy: A Rule-Gated 7B Analytics Agent Outperforms a Direct-Prompted 32B BaselineLLM agents and tool use → Web, search, and research agents
- SkillSentry: Reliable Skill Execution for LLM Agents via Runtime AssuranceLLM agents and tool use → Agent skill learning and evolution
- MoRSE: Task-Oriented Multi-Agent System with Mixture of Role-Subtask ExpertsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Emotion2Skill: Model-Internal Emotion Signals for Adaptive Skill Selection and EvolutionLLM agents and tool use → Social simulation and multi-agent debate
- In-Loop Model Adaptation with Coupled Latent-Noise Guidance for High-Fidelity Subject-Driven Text-to-Image GenerationDiffusion models → Image generation, text-to-image and editing
- DreOPD: Degraded-Reference Extrapolative On-Policy Distillation for Flow-matching ModelsDiffusion models → Diffusion and flow policies for robotics +1
- BAG: Budget-Aware Gating for Diffusion CachingDiffusion models → Diffusion foundations and sampling
- SafeSceneReason: A Multimodal Reasoning Benchmark Connecting Industrial Hazards with Accident KnowledgeLLM reasoning → Reasoning for agents, planning and code
- Privileged Solutions or Context-Induced Teacher Behavior? Dissecting On-Policy Self-DistillationKnowledge distillation → On-policy and self-distillation for LLMs
- Governing the KV Cache: Preventing Timing Side-Channel Leakage in Multi-Tenant LLM InferenceEfficient LLM inference and serving → KV cache optimization
- Beyond Solvability: Task Learnability as a Static Prior for LLM RL Post-TrainingLLM reasoning → Reinforcement learning for reasoning
- AkasicDB: Demonstrating Omni RAG with a Unified Vector-Graph-Relational DBMSRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- CRUISE: Vision-Language Model-Guided Uncertainty-Aware Cross-Modal Sensor Fusion for Robust Autonomous DrivingMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection +1
- Agentic Router: An Execution-Grounded Continual Learning Approach With MemoryLLM agents and tool use → General LLM agent frameworks and benchmarks
- Not All Visual Tokens Are Equally Safe to Remove:Consequence-Sensitive Visual Token CompressionEfficient LLM inference and serving → Visual token pruning in multimodal models
- From Relevance to Execution Utility: Reward-Aware Dynamic Execution Gating for Skill-Based LLM AgentsLLM agents and tool use → Agent skill learning and evolution
- CIDER: A Dataset of Contextual Disclosure Boundaries for Privacy Preference AlignmentLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Right Answer, Wrong Heat: Explanation-Aware Evaluation and Thermal-Grounded Feedback for MLLMs on Infrared ImagesMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- How Roadside Units Enhance Intersection Safety? Cooperative Autonomous Driving System Design and A Proof of ConceptEnd-to-end autonomous driving → Cooperative and V2X driving
- An Agentic Generative Large Language Model for Treatment Planning of Colorectal CancerLLM agents and tool use → Medical and scientific domain agents
- CodecArena: Codec Quality Assessment via Visual Reinforcement LearningDeep reinforcement learning methods → RL with diffusion and flow models
- SpeedTuning: Speeding Up Policy Execution with Lightweight Reinforcement LearningDeep reinforcement learning methods → RL for robot locomotion and manipulation
- When Latents Forget Pixels: Restoring Fidelity in Diffusion Transformer Super-ResolutionDiffusion models → Inverse problems and image restoration
- MARA: Flow-Matching-Guided Multi-Agent Resource Allocation for Computational Resource Efficient LearningDiffusion models → Diffusion and flow policies for robotics
- Social Gym and SPaRTan: Benchmarking and Improving LLM Social Reasoning via Multi-Agent Game TournamentsLLM reasoning → Reasoning for agents, planning and code +1
- Trajectory Divergence Horizon Decision for Reliable Dual-Arm Surgical Subtask ManipulationVision-language-action models → Generalist VLA models and benchmarks
- RISE-RL: Rubric-Informed Selective Exploration for Open-Ended Reinforcement LearningLLM alignment / RLHF / preference optimisation → Reward hacking and misspecification +1
- Visual Distortion Detection in UGC Images Using Large Multimodal ModelsMultimodal LLMs / vision-language models → Image editing and quality assessment
- Motif 3: Technical ReportMixture-of-experts → MoE large language models
- UnsDrive: Towards Robust End-to-End Autonomous Driving in Unstructured ScenesEnd-to-end autonomous driving → Generative simulation for driving
- Evo-Bench: Can Language Models Improve Agent Harness?LLM agents and tool use → Software engineering coding agents
- Latent World Models with Monotone Planning Costs for Image-Goal NavigationWorld models → World models for navigation
- A Unified Issue Resolution Benchmark for Requirement Clarification, Planning, and Code Generation for Coding AgentsLLM agents and tool use → Software engineering coding agents
- Pseudo2CodeQA: A Benchmark for LLM-Based Structured Algorithmic Reasoning in Code GenerationLLM reasoning → Reasoning for agents, planning and code
- Tree-of-Experience: Hierarchical Experience Management for Self-Evolving AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks +1
- PolicyKG: An Agentic LLM Pipeline for Translating Institutional Policies into SHACL Knowledge GraphsLLM agents and tool use → Agent threats, guardrails and governance
- PreGress: Ranking-Native Pre-training and Prompting for Graph Node RankingRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- Dynamic Distribution-Aware Uncertainty Tracking in Vision-Language Representation LearningMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- Mind the Hook: Source-Level Auditing of Privacy Defenses in Retrieval-Augmented GenerationRetrieval-augmented generation → Privacy and security of RAG
- DeepFreqMark: End-To-End Learnable Frequency-Domain Watermarking with Spherical Attack Simulation for Latent Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects +1
- Muscle Memory for Agents: Compile not Merely RetrieveLLM agents and tool use → Agent memory systems
- Twin Rollouts: Noise-Coupled Counterfactual Branching in Interactive Video World ModelsWorld models → Embodied and robot world models
- Label-Free Parkinson's Disease Screening from Face and Voice through Mechanistic InterpretabilityMechanistic interpretability → Interpreting biomedical and science models
- How Can Rhetoric Reward-Hack AI Reviewers? Dissecting Rhetorical Sensitivity in AI-Based Peer ReviewLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- GALA: Graph-Augmented LLM Agents for Root Cause Analysis and Incident Response in MicroservicesLLM agents and tool use → Software engineering coding agents
- Offline Policy Evaluation as a decision support tool for designing Adaptive Experiments
- ENAS: An Efficient Hardware-Aware Neural Architecture Search Framework for TinyML on Resource-Constrained Microcontrollers
- Identifying Intelligent Processes via Online Sequential Testing
- Topology-Aware Parameter-Efficient Adaptation for Cross-Dataset Retinal Vessel Segmentation
- End-to-End Visual Odometry with RNNs and Attention
- Modality-Gated Deep Adapters: Adding a Modality to a Frozen Embedding Model with Exact Preservation
- Unanimity Without Persuasion: A Single Round of Debate Erases the Disagreement That Verification Needs
- Beyond the Raw Waveform: Fusing Visual Representations of EDA for Stress Detection
- Space as an Interventional Invariant: Cross-Modal Predictive Geometry for Stratified Cities and Em-Spaced Intelligence
- Decoding Mixture Perception through Computational Modeling of Component Interactions
- Compiling VGDL into Causal Models
- AI Scientist Mission Control (AIMC): Visual Analytics for Human Oversight of Autonomous Scientific Discovery
- Sycophants in the Courtroom: Are LLMs Fragile to Juridical Authority and Evolving Legal Standards?
- Hate Speech Classification In Roman Urdu: A Comparative Study On Parameter Efficient Fine-Tuning And Prompt Engineering
- Entropy-Constrained Adaptive Stochastic Quantization
- On Cross-Validation for Hyperparameter Optimization of Deep Learning Image Classifiers
- Periocular Soft Biometrics: A Survey and Applications to Multimedia Forensics and Disinformation Detection
- Xemo-Talker: Unlock Emotions Explicitly for Audio-Driven Talking Portrait Synthesis
- Black-Box Knowledge Transfer across Distinct Feature Sets
- Decodable but Not Accessible: Auditing Distance-Based Reliability Estimation on Disentangled Skin-Lesion Representations
- GeoUniPR: A Geometry-Consistent Unified Framework for Cross-Modal Place Recognition
- Neuroevolution Arena: Nested Ecological Evaluation of Update-and-Inheritance Regimes across Neural Architectures
- UniMod: Enhancing Multi-Modal Medical Diagnosis through Cross-Modality and Within-Modality Alignment
- Is This Your Final Answer? Cross-Contextual Consistency as a Measure of LLM Credibility
- COMPACT: Spectral Adjustment Scores from a Complete and Irreducible Causal Criterion
- Logit-Boundary Geometric Belief Interfaces and Sparse Sheaf-Enclave Protocols: A Self-Contained Substrate for Secure Network Electronic Health Record (EHR) Interoperability
- Cracks in the Foundation: Seemingly Minor Architectural Choices Impact Long Context Extension
- Site Is Decodable Before Pretraining: Negative Controls for Probing Frozen Brain-MRI Foundation Models
- MRIComp4Flow: Compression of 3D Brain MRI for Training Multi-Modal Generative Models
- Comprendia: AI-Augmented Code Comprehension
- SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks
- Power law graph attention: exact generalization of scaled dot-product attention, empirical collapse at inference
- Stochastic Emulation of a Fully Coupled Preindustrial E3SMv3 Simulation
- Locally Deployable Small Language Models for Emergency Department Decision Support: A Systematic Benchmark of Fine-Tuning Strategies
- BreastMammo and DenseMammo: Benchmarks for Mammography Domain Generalization
- Toward Human Rights Benchmarking for LLMs: A Pilot Methodology
- Interpreting Language Model Hidden States at Scale
- TAF-MED: Multi-Turn Safety Refusal Collapse in LLMs Under Declared Self-Treatment Intent
- CRHT: A Continuous Regression Hybrid Transformer for Vessel Trajectory Prediction with Online Cluster Sampling
- Off-Axis, On Purpose: Where a Transformer Computes Concepts and Why it Does So
- STCAD: Scalable Trajectory Clustering and Anomaly Detection on Terabyte-Scale AIS Data
- DualSpectralCF: Training-Free Sign-Aware Spectral Collaborative Filtering
- A Graph Neural Network--Guided Genetic Algorithm for Physical Internet Supply Chain Optimization under Cost Uncertainty
- Sequential Modality Dropout for Robust Multi-Modal Sequential Recommendation
- Beyond Detection: Evaluating Defensive LLMs Against AI-Generated Social Engineering in Live Turn-by-Turn Interaction
- Beyond Decision Boundaries: Relational Geometry Attacks on Contrastive Embedding Manifolds
- A matched-integrator evaluation of Hamiltonian neural networks on pendulum and Kepler dynamics
- The Kuramoto Neural Operator: Learning to Solve PDEs via Coupled Oscillator Dynamics
- Unsupervised Detection of Groundwater Storage Anomalies in Ghana Using GRACE Satellite Data
- Similarity Gates Approve Reversals: A Validity Audit of Embedding-Cosine Thresholds in Agent Systems
- Decodable But Not Detachable: Training Data Granularity Determines Parametric Modularity in Large Language Models
- Evaluation-Conditioned Training: Teaching Models to Generalize to Stronger Oversight Regimes
- Edge Phoneme Recognition for Children's Speech through Age-Aware Training
- A Convolutional Layer Activation Dimensionality Reduction for Out-of-Distribution and Adversarial Attack Detection Methods
- ELMER: Evolutionary Language Model that Explores and Refines
- More Accurate, Less Human: Gestalt Grouping in Vision Models
- The Deliberative Deficit: An Empirical Critique of LLMs in Democratic Discourse
- The sharp SAT/UNSAT phase transition in random ellipsoid fitting
- From Prediction to Incrementality: Causal Optimization for Large-Scale Targeting and Recommendation
- Human versus Computer Vision
- Motion Artifact-Aware Self-Supervised Representation Learning for 3D Brain MRI Motion Artifact Reduction
- Optimal Inference with Black-box Predictions
- SeFoRA: Sketch-Aggregated Federated Low-Rank Adaptation with Heterogeneous Client Ranks
- The Parser Already Knows: Lightweight Bias Correction in Constrained Decoding
- P3CA: Encoder-Agnostic Interpretation of Vision Foundation Model Embeddings via Spatial Probing
- ChronoSSM: Training for Temporally Aware Representations in Autoregressive State Space Models
- PERCEPT: A Corpus for POS Tagging and Analysis of Persian-English Code-Mixing
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- LEGO: Leveled Language Gaussian Splatting
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- From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch
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- DSLE: A Learning Environment for Dark Souls Boss Encounters
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- Space-Creating versus Dead Possession: An Off-Ball Possession-Quality Index for Broadcast Football
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- CEAA: A Cognitive Embodied Agents Architecture for Interactive Computing Systems
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- From Diagnosis to Correction: Benchmarking and Improving Real-World Table Parsing
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- Multi-Agent AI Safety as an Institutional Design Problem
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- C2A: Coupling Spatial Evidence with Clinical Priors via Co-occurrence Aware Class Attention for Multi-Label Chest X-Ray Classification
- ReliableNet: A Chance-Constrained Approach to Trustworthy Classification in Deep Learning
- Structured Phonological Representations for Audio-Articulatory rtMRI Speech Classification
- Cultivar: A Contrastive and Locale-Oriented Translation Benchmark for Investigating Contamination and Localisation Robustness
- REFRAMED: Towards Realistic Audio Description Generation for Movies
- MoNo: Multiscale Optimal Transport Neural Operator for Solving PDEs on General Geometries
- Second-Order Muon Done Right: A Principled Marriage of Spectral Geometry and Curvature
- Defining Decentralization: An Ontological Perspective
- HandSplatter: Automated Digital Goniometry from Neural Rendering
- LookAgain: Closed-Loop GUI Grounding with Visually Grounded Reflection
- PET/CT Radiogenomic Mutation Prediction in Non-Small Cell Lung Cancer Using Multi-Label Learning
- How Do Large Language Models Judge Social Attraction? Evidence from Theory-Grounded Persona Ratings Across Multiple LLMs and Humans
- Input convex neural networks as surrogates in mathematical optimisation
- VeriForge: Mitigating Latent Knowledge Gaps in Narrative Drafting via Mixed-Initiative Scaffolding
- Evaluating Generative Time-Series Models on Data with Point Masses
- Diffuse the object, keep its label: curating detector training data from a few unlabeled photographs via VLM-built 3D vegetation scenes
- Recurrent Neural Networks Beyond Time: Learning from Multiple Ordered Projections
- Confusion-Geometry Rebalancing for Long-Tailed Adversarial Training
- FedOrbit: Adaptive Personalized Federated Learning for Non-IID LEO Satellite Constellations
- Adaptive Semantic Capacity Allocation for Parallel Generative Recommendation
- Deep Learning Imputation of Missing Radius of Maximum Winds (Rmax) Values in Tropical Cyclone Best-Track Data
- MPISuperRes-PnP: A Super-Resolution Zero-Shot Plug-and-Play Reconstruction Algorithm for Magnetic Particle Imaging
- CIFA: Contextual-Intersectional Fairness Auditing for Hidden Subgroup Discovery in Face Analysis
- Open Evaluation Agent: Efficient and Promptable Evaluation of Visual Generative Models
- Removing Infrastructure Barriers in Human-Robot Collaboration Through Wireless Reconfigurable Cells
- EgoHieraLoc: A Cortically Inspired Hierarchical Segmentation-Guided Framework for Egocentric Visual Query Localization
- Predictive safety filter enhanced curriculum learning control for efficient vehicle dynamics controller
- Avalon-ToM-Bench: Evaluating Fine-Grained Theory of Mind via Asymmetric Game Mechanics
- NeuroRefiner: Morphology-Aware Multi-Agent Refinement for 3D Fluorescence Microscopy Neuron Segmentation
- LoRA-based Adaptation Alone Is Not Enough: Understanding the Limits of Foundation Models for Face Presentation Attack Detection
- Unsupervised Domain Adaptation for Multitask Image Analysis in Realistic Context with Extreme Label Shift; Application to the CTAO first Large Sized Telescope
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- Structure-Enhanced Features and Quality-Aware Dynamic Anchor Scoring for Robust Lane Detection
- A Hybrid Neural-Microfacet BRDF Model for Real-Time Rendering
- ResemBrick: Brick Reconstruction from Photographs with Perceptual Fidelity and Buildability
- LEED: Local Embedding Evolution Distance for over-smoothing estimation and virtual node selection in GNN
- From Sweep to Seam: Interleaved Cross-Block Post-Training Quantization
- Illusion or Integrity? Geometrical Consistency Metric for AIGC Video Quality Evaluation
- MADBench: A Benchmark for Modality-Aware Audio Deepfake Detection
- TeaMatch: Teachable Cross-Modal Representation Learning for 2D-3D Matching
- MDB-Link: Hierarchical Schema Linking for Multi-Database Text-to-SQL
- ICM Out! Better Tournament Strategy from Computed Continuations, vs. Solvers and LLMs
- GenTrack3: Hybrid Stochastic-Deterministic Online Multi-Object Tracking with Cluster-Aware Association
- CoRCi: Cross-Reconstruction of Coherent Interests Modeling in Cross-Domain Sequential Recommendation
- MSP-Net: Manifold-Guided Spectral Prompt Network for Hyperspectral Object Tracking
- VideoVIBE: A Video-Grounded Diagnostic Benchmark for One-Shot Interactive Website Generation
- Hyperbolic Multimodal Continual Learning
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- From Semantic Grounding to Decision Optimization: A Unified Framework for Long-Horizon UAV Vision-Language Navigation
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- TCS-BENCH: Benchmarking State-of-the-Art Generative AI Theoretical Computer Science Research Ability
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- From Prompt to Harness: Coderlet from Scratch
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- FaLCon: Facet-Anchored Retrieval with Late Consensus for Sim2Real Text-Based Person Anomaly Search
- MixFormer: Linear Transformer with Mixture of Memory Experts
- Flow-based conditional cardiac anatomy generation for virtual cohorts
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- Depth-adaptive Inference of Looped Language Models via Continuous Depth Batching
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- How Simple Can It Get? From Interpretable Equations to Readable Rules for Financial Decision Making
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- Foundation Models are Implicit Deepfake Detectors
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- CableDex: Cable Length Estimation on Industrial Reels Using a Handheld Device
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- Alpha as an Efficiency Signal: Visibility-Routed RGBA Image-to-Video Generation
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- LLM-Guided Heuristic Design from Simulation Traces: A Case Study in Dynamic Production and AGV Scheduling
- Revisiting the Current Frame: Physical-Trace-Guided Network Output Correction for Video Restoration
- Hallucinations and Constraints : Regulating surgical workflow recognition beyond accuracy
- MaxModShift: Model Privacy via Designed Shifts
- GeoPhysAdapter: Scale-Matched Geophysical Adaptation for Cross-Domain Landslide Mapping with Vision Foundation Models
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- ASPaeroFlow: Decomposition Heuristics for Joint Air Traffic Flow & Capacity Management
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- CADEngBench: It Looks Like CAD, but Does It Work? Evaluating Parametric Design, Assembly Reasoning, and Physics Simulation
- Accurate but Natural? Diagnosing Grammatical and Idiomatic Gaps in Japanese EFL Writing
- DAVE: A Decoupled Audio-Visual Enhancement Framework for Real-World Speech Separation
- VeinCast: Physics-Guided Dynamic Field Graphs with Graph-Conditioned Fusion for Global Medium-Range Weather Forecasting
- GLocFM: A Geometry-Aware Foundation Model for 3D Indoor Wireless Localization
- Is the ACL Responsible NLP Checklist a Box-Ticking Exercise? A Large-Scale Analysis of EMNLP 2025
- P3: Joint Program-and-Proof Planning for Verified Code Generation
- Verifiably grounded machine interpretation of lunar geology
- GRASP: Granularity-Aware Region Alignment and Semantic Prototype Learning for Fine-Grained Cross-Modal Understanding in Drone Views
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- Task-Adaptive 3D Cross-Field MRI Translation via Field-Conditioned Content-Style Pretraining
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- FEAST: Federated Shared-Space Training for Resource-Heterogeneous Clients
- An Explainable GNN Framework for Component-Level Anomaly Diagnosis
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- Omni2LoRA: Coherence-Preserving Parametric Memory for Efficient Omni Language Models
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- PatchHead: Learning Spatial Patch Evidence for Generalizable AI-Generated Image Detection
- Reading Cognition as Decisions Unfold in Words: A Factorized Inverse Decision Model
- FedTVD: Balancing Data Quality and Quantity for Robust Federated Learning
- Online Learning of Scale Parameters in Score-Driven Filters
- UNMASK: Discovering and Causally Verifying Spurious Shortcuts in Text Classifiers
- FedA2L: Adaptive layer-wise learning rate adjustment in decentralized federated learning
- Signature-Guided Capacity Occupancy for Dense Expert Merging
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- CPDA: Class-Conditional Path Distribution Alignment for Unsupervised Time-Series Domain Adaptation
- Structure-Preserving Uncertainty Propagation in First-Order Proof Search
- EmoS: A Theory-Grounded Framework for Evaluating and Aligning Emotional Intelligence in Spoken Language Models
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- RAGMesh with FaME-G2E: Long-Form Text-Driven 3D Face Generation and Editing
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- A Time-Frequency Dual-Domain Multi-Scale Convolutional Neural Network for Bearing Fault Diagnosis under Strong Noise
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- Tabular Numeric Stretch Transformation
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- UNSPECIFIC: General Constraint Synthesis for Breaking Copy-and-Paste Shortcut in LLM Instruction Following
- TRACE: TRajectory Attribution for Automated Context Engineering
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- RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection
- Multi-Submap Implicit Neural SLAM with Local-to-Global Loop Closure for Large-Scale Scene Reconstruction
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- View-Adaptive Renderer for View-Consistent 2D-to-3D Generation
- Different Feedback, Different Updates: Selective Self-Learning from User Interactions for Large Language Models
- LexKairos: Benchmarking Legal Temporal Capabilities in LLMs
- Multitask Scanning Probe Microscopy
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- Real Data Closes Synthetic-to-Real Gap in Optical Chemical Structure Recognition
- RAVEN: Frozen Random Graph Reservoirs with Physics-Informed Interaction Fingerprints for Protein-Ligand Binding Affinity Prediction
- SI-Edit: Toward Sketch-Instruction Guided Local Image Editing with Pixel-Level Precision
- Who Bridges Safety? Identifying and Targeting Cross-Lingual Shared Safety Pathways
- The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora
- TLDChoiceNet: Quantitatively Choosing a Transfer Learning Dataset
- A Multi-Scale Temporal Framework with Dynamic Fusion for EEG-Based Emotion Recognition
- Learning human joint torques from pixels
- F2STNet: Fair and Federated Spectral-Temporal Modeling for Graph Forecasting
- When Confidence Fails: Overconfidence in LLMs under Uncertainty and Missing Clinical Information
- Personalized Federated Learning via Variance-Aware Nonparametric Empirical Bayes
- Two-Step MV-DeepONet: Probabilistic Operator Learning for Uncertainty Propagation Driven by Random Input Fields
- Model the Edit, Not the Image: Visual Autoregressive Editing from a Source-Centric Perspective
- Diagnosing as Cardiologists Do: ECG Agents with Doctor-Grounded Priors for Clinical Reasoning Across Diseases and Populations
- Triple Expert Learning from Noisy Labels for Semi-Supervised Vision Foundation Model Adaptation
- Security and Privacy Taxonomy Generation from Mobile App Reviews
- GeoAI-based post-segmentation quality validation of building footprints via spatial feature engineering
- Diversity Matters: Distributional Feature Coverage Sample Selection for Data-Efficient Backdoor Attacks
- Measuring the Tokenization Premium: A Cost Audit for Underserved Language Communities
- Bridging the Gap Between Semantics and Reconstruction:Unifying Sign Language Translation and Production
- Don't Scroll Back: Missing-Evidence Memory for Streaming Dialogue Summarization
- DualCert: A Solver for the Traveling Salesman Problem with Constraint-Coupled Learning
- Decision-Focused Learning in Network Interdiction Games
- MusicLayout: Explicit Structural Planning for Controllable Text-to-Music Generation
- HOPPER: Learnable Hop Extraction for Linearized Graph Sequence Models
- Closing the loop in learning with missing data
- Context Is Not Authority: Structured Runtime Governance for Financial Market Agents
- ELICITED: EHR-grounded Longitudinal Interactive Conversations for Information-seeking Triage Evaluation and Decision-making
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- How People Evaluate AI-, Expert-, and Peer-Style Financial Advice
- SignLlama: Enhancing Gloss-free Sign Language Translation by Prioritizing Visual Features for LLMs
- A Tight Lower Bound for Smooth Nonconvex Stochastic Optimization with Bounded Gradient Noise
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- How Far Do Foundation Models Transfer to Infant Signals? A Cross-Dataset Transfer Audit with a Unified Need Ontology
- SoftMCC: An MCC-Brier Calibration Bridge for Threshold-Free Model Selection under Class Imbalance
- Detecting Clear Contact Lenses for Iris Recognition: A Two-Stage Mask-Guided Attention Approach
- CoRe-UIE: Rethinking Coexisting and Region-wise Degradation for Underwater Image Enhancement