Papers
Mon 8 Jun 2026
549 papers
- Active Inference as Context Acquisition for AI AgentsLLM agents and tool use → Agent memory systems
- MAVEN: A Macro-Societal Value Evaluation Framework of Multimodal Content with Compact Aligned EvaluatorsLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Backdoor Learning in Language Models and Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- How to Dogfood Your AI Chat Agent: A Three-Layer Evaluation Framework with Goal-Directed NPC SimulationLLM agents and tool use → Social simulation and multi-agent debate
- The Effect of Text Chunk Size on Retrieval-Augmented Generation PerformanceRetrieval-augmented generation → Multimodal RAG
- The Scaffold Effect in Coding Agents: Harness Choice as a Hidden Variable in Coding-Agent EvaluationLLM agents and tool use → Software engineering coding agents
- Source-Aware Reranking for Retrieval-Augmented Generation: A Reliability Prior ApproachRetrieval-augmented generation → RAG robustness and adaptive retrieval
- ReasonRec: A Reasoning-Augmented Multimodal Agent for Unified RecommendationLLM agents and tool use → Agentic recommender systems
- XMedFusion: A Knowledge-Guided Multimodal Perception and Reasoning Framework for Autonomous Medical SystemsLLM reasoning → Clinical and biomedical applications
- Disentangling Hallucinations: Orthogonal Semantic Projection for Robust InterpretabilityMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- Divide-and-Denoise: A Game-Theoretic Method for Fairly Composing Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- My Chemical Harness: Evolutionary Molecular Design over Synthetic Pathways with Large Language Model AgentsLLM agents and tool use → Medical and scientific domain agents
- RealMath-Eval: Why SOTA Judges Struggle with Real Human ReasoningLLM reasoning → Mathematical reasoning
- SHAPO: Sharpness-Aware Policy Optimization for Safe ExplorationDeep reinforcement learning methods → Safe and constrained RL
- Alignment Defends LLMs from Property Inference AttacksLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks
- Less Context, Better Agents: Efficient Context Engineering for Long-Horizon Tool-Using LLM AgentsLLM agents and tool use → Financial trading and forecasting agents
- A Continuous-Time Markov Chain Framework for Insertion Language ModelsDiffusion models → Discrete and text diffusion
- Density Ridge Selective Prediction for LLM and VLM Hallucination Detection under Calibration Label ScarcityMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- Dropout-GRPO: Variational Stochasticity for Continuous Latent ReasoningLLM reasoning → Reinforcement learning for reasoning
- Making Time Editable in Video Diffusion TransformersDiffusion models → Video generation
- Flow Control: Steering Vision-Language-Action Models with Simple Real-Time InputsVision-language-action models → Generalist VLA models and benchmarks
- VArify: A Visual Analytics System for Verifying Knowledge Enhanced Large Language Model Responses in Food ScienceRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- τ-Rec: A Verifiable Benchmark for Agentic Recommender SystemsLLM agents and tool use → Agentic recommender systems
- From Senses to Decisions: The Information Flow of Auditory and Visual Perception in Multimodal LLMsMultimodal LLMs / vision-language models → Video understanding with MLLMs
- BiWM: Advancing Open-Source Interactive Video World Models with Bidirectional AutoregressionWorld models → Video-generation world models and simulators
- Discovering Interpretable Multi-Parameter Control Policies for Evolutionary Algorithms Using Deep Reinforcement LearningDeep reinforcement learning methods → RL for games and combinatorial optimization
- Pareto-Guided Teacher Alignment for Fair Personalized Text GenerationLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- What makes a harness a harness: necessary and sufficient conditions for an agent harnessLLM agents and tool use → Software engineering coding agents
- A Theory on Flow Matching with Neural NetworksDiffusion models → Flow matching, time series and science
- VFUSE: Virulent Feature Understanding with Sparse autoEncodersMechanistic interpretability → Interpreting biomedical and science models
- A Controlled Audit of Pretraining Contamination in Public Medical Vision-Language BenchmarksMultimodal LLMs / vision-language models → Medical vision-language models
- Bittensor Agent Arenas as a Trajectory Primitive: Distilling a Shopping Agent from ShoppingBench Subnet TracesLLM reasoning → Reasoning for agents, planning and code +1
- Deployment-Time Memorization in Foundation-Model AgentsLLM agents and tool use → Agent memory systems
- Inside the Latent Flow: Causal Deciphering of Attention Dynamics in Audio Separation Foundation ModelsDiffusion models → Audio, speech and music
- Business World ModelWorld models → World models for language agents
- Efficient-WAM: A 1B-Parameter World-Action Model with Low-Cost Future ImaginationWorld models → Embodied and robot world models
- Interpreting and Steering a Text-to-Speech Language Model with Sparse AutoencodersMechanistic interpretability → SAE features and their applications
- Optimality of FSQ Tokens for Continuous Diffusion for Categorical Data with Application to Text-to-SpeechDiffusion models → Discrete and text diffusion
- 3SPO: State-Score-Supervised Policy Optimization for LLM AgentsLLM agents and tool use → Reinforcement learning for LLM agents
- Uncertainty-Aware Motion Planning for Autonomous Driving in Mixed Traffic EnvironmentEnd-to-end autonomous driving → Reinforcement learning for driving
- Interactions Between Crosscoder Features: A Compact Proofs PerspectiveMechanistic interpretability → Sparse autoencoder training and evaluation
- Latent Spatial Memory for Video World ModelsWorld models → Video-generation world models and simulators
- MemoryVLA++: Temporal Modeling via Memory and Imagination in Vision-Language-Action ModelsVision-language-action models → Reasoning and chain-of-thought in VLA
- OmniGameArena: A Unified UE5 Benchmark for VLM Game Agents with Improvement DynamicsLLM agents and tool use → Reinforcement learning for LLM agents
- An Agency-Transferring Model-Free Policy Enhancement TechniqueDeep reinforcement learning methods → Deep RL algorithms and representations
- Rethinking the Divergence Regularization in LLM RLLLM reasoning → Reinforcement learning for reasoning
- PTL-Diffusion: Manifold-Aware Diffusion with Periodic Terminal LawsDiffusion models → Diffusion foundations and sampling
- iMaC: Translating Actions into Motion and Contact Images for Embodied World ModelsWorld models → Embodied and robot world models
- AHA-WAM:Asynchronous Horizon-Adaptive World-Action Modeling with Observation-Guided Context RoutingWorld models → Embodied and robot world models
- Echo-Memory: A Controlled Study of Memory in Action World ModelsWorld models → Video-generation world models and simulators
- Difference-Aware Retrieval Policies for Imitation LearningOffline RL and imitation learning from data → Robot manipulation imitation learning
- Your Model Already Knows: Attention-Guided Safety Filter for Vision-Language-Action ModelsVision-language-action models → Safety and adversarial attacks
- Multi-Turn Evaluation of Deep Research Agents Under Process-Level FeedbackLLM agents and tool use → Web, search, and research agents
- ProbeAct: Probe-Guided Training-Free Failure Recovery in Vision-Language-Action ModelsVision-language-action models → Failure recovery and robustness
- HDSL: A Hierarchical Domain-Specific Language for Structured 3D Indoor Scene Generation and Localized Editing with LLM AgentsLLM agents and tool use → Multimodal and embodied agents
- The Neutral Mask: How Alignment Training Provides Shallow Alignment while Leaving Partisan Structure Intact in a Large Language ModelLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- SearchSwarm: Towards Delegation Intelligence in Agentic LLMs for Long-Horizon Deep ResearchLLM agents and tool use → General LLM agent frameworks and benchmarks
- Beyond Probabilistic Similarity: Structural, Temporal, and Causal Limitations of Retrieval-Augmented Generation in the Legal DomainRetrieval-augmented generation → Legal and financial RAG
- Evaluating the Representation Space of Diffusion Models via Self-Supervised PrinciplesDiffusion models → Diffusion foundations and sampling
- Proxy Reward Internalization and Mechanistic Exploitation: A Learned Precursor to Reward Hacking and Its GeneralizationLLM alignment / RLHF / preference optimisation → Reward hacking and misspecification
- IS-CoT: Breaking the Long-form Generation Collapse via Interleaved Structural ThinkingLLM reasoning → Prompting and chain-of-thought reasoning
- Learning to Attack and Defend: Adaptive Red Teaming of Language Models via GRPOLLM reasoning → Reinforcement learning for reasoning +1
- Cranio-Diff: Diffusion-based Cross-domain Craniofacial Reconstruction with 2D X-ray Skull Guidance and Structural Identity ConstraintsDiffusion models → 3D, point cloud and scene generation
- Observability for Delegated Execution in Agentic AI SystemsLLM agents and tool use → Agent threats, guardrails and governance
- (Auto)formalization is supposed to be easy: Trellis process semantics for spelling out rigorous proofsLLM agents and tool use → Educational agents and math problem solving
- SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World TasksLLM reasoning → Spatial and embodied reasoning +2
- When Built-in Thinking Helps and Hurts: Constraint-Level Error Shifts in Instruction FollowingLLM reasoning → Mathematical reasoning
- End-to-End Context Compression at ScaleEfficient LLM inference and serving → Prompt and context compression
- Where Does the Answer Come From? Benchmarking View-Level Visual Evidence Identification in Multi-View MLLMs for Autonomous DrivingLLM reasoning → Multimodal reasoning +2
- Agentic Persona Generation with Critique-Refinement: An Industrial EvaluationLLM agents and tool use → Social simulation and multi-agent debate
- Gradient-Guided Reward Optimization for Inference-time AlignmentLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- ReCoVLA: VLM-Guided Reward Compilation for Failure Recovery in Vision-Language-Action PoliciesVision-language-action models → Failure recovery and robustness
- DexPIE: Stable Dexterous Policy Improvement from Real-World ExperienceOffline RL and imitation learning from data → Robot manipulation imitation learning
- AgentServeSim: Serving-System Simulation and Policy Search for LLM Agent ProgramsLLM agents and tool use → Software engineering coding agents
- TUDSR: Twice Upsampling-Diffusion for Higher Super-ResolutionDiffusion models → Inverse problems and image restoration
- Closure-Validated Circuit Discovery in Attention Heads: Co-activation Proposes, Ablation DisposesMechanistic interpretability → Circuits and mechanistic analysis
- Optical Reasoning: Rethinking Images as an Expressive Reasoning Medium Beyond TextLLM reasoning → Multimodal reasoning +1
- TABVERSE: Benchmarking Cross-Format Table Understanding in LLMs and VLMsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- CT-VAM: A Cerebello-Thalamic-Inspired Vision-Action Model for Efficient Visuomotor ControlVision-language-action models → Efficient VLA inference and adaptation
- Safe-RULE: Safe Reinforcement UnLEarningLLM safety and security → Machine unlearning +1
- AI Scientists Are Only as Good as Their Evidence: A Stratified Ablation of Proprietary Data and Reasoning Skills in Drug-Asset ValuationLLM reasoning → Knowledge- and tool-augmented reasoning
- SecureClaw: Clawing Back Control of LLM AgentsLLM agents and tool use → Agent threats, guardrails and governance
- Model Poisoning Against Federated Model Adaptation with Chain of Bit-FlipsLLM safety and security → Federated unlearning and poisoning
- From Rigid to Dynamic: Entropy-Guided Adaptive Inference for Long-Context LLMsEfficient LLM inference and serving → KV cache optimization
- Prisma-World: Camera-Controllable Multi-Agent Video World ModelWorld models → Video-generation world models and simulators
- Deterministic Integrity Gates for LLM-Assisted Clinical Manuscript Preparation: An Auditable Biomedical Informatics ArchitectureLLM agents and tool use → Web, search, and research agents
- Targeting World Models to Compromise Robot Learning PipelinesWorld models → World model security and GUI agents +1
- Self-Harness: Harnesses That Improve ThemselvesLLM agents and tool use → Software engineering coding agents
- Memory Beyond Recall: A Dual-Process Cognitive Memory System for Self-Evolving LLM AgentsLLM agents and tool use → Agent memory systems +1
- Escaping the KL Agreement Trap in On-Policy DistillationKnowledge distillation → On-policy and self-distillation for LLMs
- H2HMem: A Multimodal Memory Benchmark for Agents in Human-Human InteractionsLLM agents and tool use → Agent memory systems
- AbstRAG: Learning to Abstract for Retrieval ProblemsRetrieval-augmented generation → RAG pipeline design and evaluation
- ω-EVA: Envision, Verify, and Act with Latent Interactive World ModelsWorld models → Embodied and robot world models
- Breaking the Tokenizer Barrier: On-Policy Distillation across Model FamiliesKnowledge distillation → On-policy and self-distillation for LLMs
- AliyunConsoleAgent: Training Web Agents in Real-World Cloud Environments via Distillation and Reinforcement LearningLLM agents and tool use → Web, search, and research agents +1
- SIFT: Selective-Index For Fast Compute of RAG Prefill by Exploiting Attention InvarianceRetrieval-augmented generation → Generation and context integration
- MUDIDI: A Two-Stage Framework for Multilingual Dictionary Digitization with Language ModelsMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- Graph Mamba Operator: A Latent Simulator for Interacting Particle SystemsState-space sequence models (S4, Mamba) → Video, motion and generative Mamba models
- WeaveBench: A Long-Horizon, Real-World Benchmark for Computer-Use Agents with Hybrid InterfacesLLM agents and tool use → GUI and mobile agents
- What Should a Skill Remember? Quality--Cost Trade-offs in Cost-Aware Skill Rewriting for Language Model AgentsLLM agents and tool use → Agent skill learning and evolution
All 549
- RunAgent SuperBrowser: A Theory of Autonomous Web Navigation Grounded in Human Browsing BehaviourLLM agents and tool use → Web, search, and research agents
- PriFT: Prior-Support Guided Supervised Fine-TuningDeep reinforcement learning methods → RL training of language and agent models
- CapRL++: Unified Reinforcement Learning with Verifiable Rewards for Dense Image and Video CaptioningMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Distilling Safe LLM Systems via Soft Prompts for On Device SettingsLLM safety and security → Safety alignment, refusal and guardrails
- ReGIL: Retrieval-Guided Imitation Learning from a Single DemonstrationOffline RL and imitation learning from data → Robot manipulation imitation learning
- Reasoning Arena: Trace Tournaments When Verifiable Rewards Fall ShortLLM reasoning → Reinforcement learning for reasoning
- Echo-DM: Ultrasound Marker Removal via Conditional Latent Diffusion and Region-Aware FusionDiffusion models → Medical imaging and segmentation
- Capability-Aligned Hierarchical Learning for Tool-Augmented LLMsLLM agents and tool use → Tool learning and function calling
- PhysScene: A Scene Graph Dataset for Scientific Visual Reasoning in Physics ExperimentsLLM reasoning → Spatial and embodied reasoning
- Is Text All You Need? Text as a Universal Information Bottleneck for Speech LLMsLLM reasoning → Audio-language model reasoning
- Zero-Shot Semantic Re-Identification for Autonomous Driving: A VLM Baseline StudyEnd-to-end autonomous driving → VLMs for autonomous driving
- PBSD: Privileged Bayesian Self-Distillation for Long-Horizon Credit AssignmentLLM reasoning → Reinforcement learning for reasoning +3
- Leveraging Structural Constraints for Diffusion-based Neural TSP SolversDiffusion models → Diffusion foundations and sampling
- Multi-Hop Knowledge Composition is Bound by Pretraining ExposureLLM reasoning → Knowledge- and tool-augmented reasoning
- TORL-VLA: Tactile Guided Online Reinforcement Learning for Contact-Rich ManipulationVision-language-action models → Tactile, force-aware and humanoid VLA
- Anything2Skill: Compiling External Knowledge into Reusable Skills for AgentsRetrieval-augmented generation → Agentic RAG, agents and memory
- Brain-Prompt Injection: A Route-Safety Audit for BCI-LLM AgentsLLM agents and tool use → Agent threats, guardrails and governance +1
- KPGrasp: Scalable Keypoint Flow Matching for Dexterous Grasp GenerationDiffusion models → Diffusion and flow policies for robotics
- Toward Compiler World Models: Learning Latent Dynamics for Efficient Tensor Program SearchWorld models → World models for language agents
- FF-JEPA: Long-Horizon Planning in World Models with Latent PlannersWorld models → Latent predictive world models
- SG-OPD: Sign-Gated On-Policy Distillation via Sign-Consistency Gating and Phased Teacher SamplingKnowledge distillation → On-policy and self-distillation for LLMs +1
- Reason Twice: Segmentation via Candidate Discovery and Comparative ReasoningLLM reasoning → Multimodal reasoning
- Visual Para-Thinker++: A Single-Policy Multi-Agent Framework for Visual ReasoningLLM reasoning → Multimodal reasoning +1
- Trajectory Geometry of Transformer Representations Across LayersMechanistic interpretability → Circuits and mechanistic analysis
- EditSSC: Toward Editable Semantic Occupancy Scenes with Unconditional Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
- Back to the Familiar Future: Failure Recovery for VLA Policies via Pre-Imagined Milestone SelectionVision-language-action models → Failure recovery and robustness
- BSTabDiff: Block-Subunit Diffusion Priors for High-Dimensional Tabular Data GenerationDiffusion models → Flow matching, time series and science
- TruthSplit: Operationalizing Conditional Validity in Arguments Through Multi-Perspective ReasoningLLM reasoning → Reasoning for agents, planning and code
- LiteVSR: Lightweight Adaptation of Frozen Diffusion Transformers for Video Super-ResolutionDiffusion models → Inverse problems and image restoration
- Temporal-Aware Reasoning Optimization for Video Temporal GroundingLLM reasoning → Multimodal reasoning +1
- Self-Paced Curriculum Reinforcement Learning for Autonomous Superbike Racing in SimulationDeep reinforcement learning methods → RL for autonomous driving and traffic
- End-to-End Training for Discrete Token LLM based TTS SystemDiffusion models → Audio, speech and music
- MotionWAM: Towards Foundation World Action Models for Real-Time Humanoid Loco-ManipulationWorld models → Humanoid and legged locomotion world models
- The Injection Paradox: Brand-Level Suppression in Safety-Trained LLM Recommendations via RAG Context InjectionLLM safety and security → Safety alignment, refusal and guardrails
- MASS: Deep Research for Social Sciences with Memory-Augmented Social SimulationLLM agents and tool use → Social simulation and multi-agent debate
- Symbolic and Abstractive Reasoning with Complex Visual QueriesLLM reasoning → Multimodal reasoning +1
- Pretrained, Frozen, Still Leaking: Auditing Cross-Encoder Attribute Transfer in EEG Foundation ModelsLLM safety and security → Machine unlearning
- Understanding How Enterprises Adopt the Model Context Protocol for LLM-Driven Software EngineeringLLM agents and tool use → Tool learning and function calling
- Culturally-Adapted Red-Teaming Across East and Southeast Asian Contexts: A Methodological and Comparative AnalysisLLM safety and security → Safety alignment, refusal and guardrails
- Unified Energy for Invariant and Independent Decoding in Diffusion Language ModelsDiffusion models → Discrete and text diffusion
- Ultra Flash: Scaling Real-Time Streaming Video Generation to High ResolutionsDiffusion models → Video generation
- Decoding Pedestrian Crossing Intention from Egocentric Vision via Vision Language ModelsMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection
- FlashTTS: Fast Streaming TTS with MTP Acceleration and X-pred Mean Flow DistillationDiffusion models → Audio, speech and music
- Claw-R1: A Step-Level Data Middleware System for Agentic Reinforcement LearningLLM agents and tool use → Reinforcement learning for LLM agents
- Vision Language Model Helps Private Information De-Identification in Vision DataMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- Late-Layer Fusion is Enough: Dual-Path Vision Token Routing for Multimodal Large Language Models under Visual SaturationMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- Unveiling Privacy Risks in Multi-modal Large Language Models: Task-specific Vulnerabilities and Mitigation ChallengesMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- A Regret Minimization Framework on Preference Learning in Large Language ModelsLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Autonomous Incident Resolution at Hyperscale: An Agentic AI Architecture for Network OperationsLLM agents and tool use → Agent threats, guardrails and governance
- ComplexConstraints and Beyond: Expert Rubrics for RLVRLLM agents and tool use → Reinforcement learning for LLM agents
- Counterfactual Transport Flows for Offline Conservative Trajectory RefinementOffline RL and imitation learning from data → Offline RL algorithms +1
- HDRAgent: An Agentic Framework for Multi-Exposure HDR ImagingLLM agents and tool use → Multimodal and embodied agents
- Driving Video Retrieval for Complex Queries with Structured GroundingEnd-to-end autonomous driving → VLMs for autonomous driving
- Graph2Idea:Retrieval-Augmented Scientific Idea Generation with Graph-Structured ContextsRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- Addressing Market Regime Changes and Heavy-Tailed Returns in Portfolio Optimization via Bayesian VAR and Elliptical Black-LittermanDeep reinforcement learning methods → Adversarial robustness and RL in finance
- HoliDubber: Holistic Video Dubbing for Complex Acoustic Scenes via Text-Guided Audio SynthesisDiffusion models → Audio, speech and music
- Stabilizing On-Policy Distillation for MLLM Reasoning with Global NormalizationLLM reasoning → Reinforcement learning for reasoning +1
- Context-Fractured Decomposition Attacks on Tool-Using LLM Agents: Exploiting Artifact Provenance GapsLLM agents and tool use → Agent threats, guardrails and governance +1
- Beyond FLOPs: Benchmarking Real Inference Acceleration of LLM Pruning under a GEMM-Centric TaxonomyEfficient LLM inference and serving → Early exit and edge inference
- FlashMemory-DeepSeek-V4: Lightning Index Ultra-Long Context via Lookahead Sparse AttentionEfficient LLM inference and serving → KV cache optimization
- The Hidden Bias of Process Reward Models:PRISM for Rewarding the Right ReasoningLLM reasoning → Reinforcement learning for reasoning +1
- Z-Reward: Beyond Scalar Rewards by Internalizing Reasoning into Score DistributionsLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
- A Unifying Lens on Reward Uncertainty in RLHFLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- REFLECT: Intervention-Supported Error Attribution for Silent Failures in LLM Agent TracesLLM agents and tool use → Software engineering coding agents
- See More, Think Deeper: Query-Expanded Visual Evidence and Answer-Clue Guided Reflection for Long Video UnderstandingLLM reasoning → Multimodal reasoning
- Fairness-Aware and Latency-Controllable Scheduling for Chunked-Prefill LLM ServingEfficient LLM inference and serving → Serving systems and request scheduling
- Stage-1 Controls the Entropy Regime, Not the OutcomeMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +2
- INFUSER: Influence-Guided Self-Evolution Improves ReasoningLLM reasoning → Reasoning for agents, planning and code
- BareWave: Waveform-Native Flow-Matching Text-to-SpeechDiffusion models → Audio, speech and music
- DynaCF: Mitigating Shortcut Learning in Reward Models via Dynamic Counterfactual SensitivityLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Personalization Meets Safety:Mechanisms,Risks,and Mitigations in Personalized LLMsMixture-of-experts → Expert routing strategies
- A Multi-Agent System for Motor Design Optimization via an FEA-AI Hybrid ApproachLLM agents and tool use → Multimodal and embodied agents
- CRANE: Knowledge Editing for Reasoning MLLMsLLM reasoning → Knowledge- and tool-augmented reasoning +1
- Bridging the Agent-World Gap: Text World Models for LLM-based AgentsWorld models → World models for language agents +1
- TRIAGE: Dialectical Reasoning for Explainable Risk Prediction on Irregularly Sampled Medical Time Series with LLMsLLM reasoning → Clinical and biomedical applications
- ATM: Action-Consistency Transfer Matrix for Diagnosing and Improving Latent World ModelsWorld models → Latent predictive world models
- TLDR: Compressing Audio Tokens for Efficient Autoregressive Text-to-SpeechEfficient LLM inference and serving → Audio and omni-modal token compression
- Scaling by Diversified Experience for Vision-Language-Action ModelsVision-language-action models → Generalist VLA models and benchmarks
- Document-Authored Control-Signal Impersonation: A Low-Cost Indirect Prompt Attack on RAG Safety BoundariesRetrieval-augmented generation → Privacy and security of RAG
- The Token Not Taken: Sampling, State, and the Stochasticity of AI AgentsLLM agents and tool use → Agent memory systems
- SpaceVLN: A Zero-Shot Vision-and-Language Navigation Agent with Online Spatial Cognitive Memory and ReasoningLLM agents and tool use → Multimodal and embodied agents
- Heterophily-Aware Adaptive Knowledge Distillation for Hypergraph Neural NetworksKnowledge distillation → Graph neural network distillation
- RTL-BenchLS: A Large-Scale Benchmark for RTL Reasoning and Generation with Large Language ModelsLLM reasoning → Reasoning for agents, planning and code
- Diverse Thinking Schemata Elicit Better Reasoning in Large Language ModelsLLM reasoning → Test-time compute and efficient thinking
- An Effective Router for Vision-Language Model SelectionMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- C3ache: Accelerating World Action Models with Cross Inference Chunk CacheWorld models → Embodied and robot world models +1
- Hardening Agent Benchmarks with Adversarial Hacker-Fixer LoopsLLM agents and tool use → Software engineering coding agents +1
- ChinaHeritaQA: A Culturally-Grounded Visual Question Answering Dataset for World Heritage Sites in ChinaLLM reasoning → Multimodal reasoning +1
- Rethinking 3D Shape Generation: Diffusion over SuperquadricsDiffusion models → 3D, point cloud and scene generation
- Self-Consistent Generative Paths via Admissible Random Variational TransportDiffusion models → Flow matching, time series and science
- AlloSpatial: Agentic Harness Framework for Spatial Reasoning in Foundation ModelsLLM reasoning → Spatial and embodied reasoning +1
- NutriMLLM: Multimodal Large Language Models for Dietary Micronutrient AnalysisMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Multilingual Sentiment Aware Text Summarization A Reinforcement Learning Approach for Consistency MaintenanceLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Generalized Rank-based Evaluation for Knowledge Graph Completion: Perspectives, Framework, and AnalysesRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- Oversight Has a Capacity: Calibrating Agent Guards to a Subjective, Fatiguing HumanLLM agents and tool use → Agent threats, guardrails and governance
- Failure-Aware Refinement of Vision-Language Model for Lithography Defect DetectionMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- FAME: Forecastability-Aware Mixture of Experts for Heterogeneous Time Series ForecastingMixture-of-experts → MoE for time series and graphs
- Are Reasoning Vision-Language Models Robust to Semantic Visual Distractions?LLM reasoning → Multimodal reasoning +1
- Cheap Reward Hacking DetectionLLM alignment / RLHF / preference optimisation → Reward hacking and misspecification
- Diffuse AI Control on Fuzzy TasksLLM safety and security → Prompt injection and agent security
- EvalDetectBench: A Benchmark for Measuring Evaluation Awareness in Frontier Language Models
- A collective capability boundary in frontier large language models on guideline-conformant and case-specific oncology decision-making
- FrenchNews-7: Benchmarking Cross-Publisher French News Editorial Desk Classification
- Enhancing LLMs with Context-Specific Knowledge for Mitigating Misinformation in SMEs: A RAG-based Modeling and Analysis
- Multi-Objective Structured Pruning of LLMs for Latency and Model Size Optimization
- CRAWO: Custom Resources for Adaptive Workload Orchestration
- Logic-Guided Data Extraction with Answer Set Programming and Large Language Models
- CCBENCH: Assessing LLM Cultural Competence via Implicitly Signaled Norms using Health Queries
- The Jagged Global Economy: Frontier AI Unevenly Exposes National Economies
- AI tools in Arab University English classrooms: Looking back and forward
- SafeGEO: Understanding Generative Engine Optimization Risks in Recommendation Agents
- DBpedia-Enriched Company Representation for B2B Lead Recommendation
- Generating in the Limit with Infinitely Many Hallucinations
- Invisible to humans, visible to machines: a preregistered audit of Unicode fidelity across four biomedical bibliographic APIs
- Heterogeneous 2D/1D Signal Representation Fusion for Underwater Acoustic Modulation Recognition Under Distribution Shift
- Input-schema identifiability limits in physics-informed surrogates for mechanics-governed flow
- Distributed Model Predictive Control with Adaptive Safety Zones for Multi-Fleet Drone Operations
- EmoInstruct-TTS: Dual-Path Instruction-Guided Emotional Speech Synthesis
- Computational Identifiability
- A Guide to Estimating Conditional Average Treatment Effects in Competing Risks Settings
- Momentum-Guided Semantic Forecasting (MoFore) for Self-Supervised Video Representation Learning
- Avoiding Exponential Blow-Up in Distributive Lattice Submodular Minimization
- Bayesian Optimization for Learning Nonlinear MPC in Autonomous Agent Navigation
- Scribby: A Multi-Level LLM Framework for Semantic Video Analysis
- GeoRoPE: Ground-Aware Rotary Adaptation for Remote Sensing Foundation Models
- Temporally Consistent and Controllable Video Generation of 2D Cine CMR via Latent Space Motion Modeling
- Spatial Priors via Space Filling Curves for Small and Limited Data Vision Transformers
- History of the Muddy Children Puzzle
- Bernstein-Schur Kernels: Random Features by Sketched Modulation and Radial Randomization
- AugRelNet: Relation-Augmented Dynamics for Structure Discovery and Forecasting from Limited Data
- MASK: Multi-Agent Semantic K-Scheduling for Risk-Sensitive 6G Robotics
- Physics-informed generative AI for semiconductor manufacturing: Enforcing hard physical constraints in generative models by construction
- POPSICLE: Benchmark Datasets for Segmentation and Localization in CryoET
- Multi-Level Analyzation of Imbalance to Resolve Non-IID-Ness in Federated Learning
- When Design Rules Break: Benchmark Composition Determines Whether Label Informativeness Predicts GNN Aggregator Choice
- Linguistically Augmented Audio Speech Data (LinguAS)
- YUBI: Yielding Universal Bidigital Interface for Bimanual Dexterous Manipulation at Scale
- DUET -- Dual User Embedding Transformers for Offsite Conversion Prediction
- Regimes: An Auditable, Held-Out-Gated Improvement Loop Demonstrated on LongMemEval with ActiveGraph
- Hyperbolic Neural Population Geometry Benefits Computation
- Minimalist Genetic Programming
- ANCHOR: Autoregressive Non-intrusive Chunk-Ordered Refinement for Joint Multi-Resolution Speech Quality Modeling
- What Demonstration Curation Metrics Do to Your Policy
- Spatiotemporal Graph Transformer for 3D Neighborhood Interaction and Quality Prediction in Metal Additive Manufacturing
- Dual-Branch Gated Fusion for Open-Set Audio Deepfake Source Tracing
- Fast Exact Nearest-Neighbor Learning for High-Frequency Financial Time Series
- A Source Domain is All You Need: Source-Only Cross-OS Transfer Learning for APT Anomaly Detection via Semantic Alignment and Optimal Transport
- Automated Pronunciation Evaluation for Korean Toddler Speech using Speech Diarization and Self-Supervised Learning
- Intrinsic Riemannian Cross-covariance for Manifold-valued Random Objects
- Exploration of Foundation Model-Based Robots in Patient and Elderly Care
- An Improved Generative Adversarial Network for Micro-Resistivity Imaging Logging Restoration
- Integral Field Unit Spectroscopy with One Fiber
- Fisher-Guided Progressive Parameter Selection for Adaptive Fine-Tuning
- MMClima: A Framework for Multimodal Climate Science Data and Evaluation
- Decision-Calibrated Conformal Uncertainty for Pacing Decisions in Streaming Advertising
- Trainability of IQP Quantum Circuit Born Machines Under Gaussian Initialization
- A Large Scale Open-Source Image and Video Dataset for Robust Wildfire Detection and Classification
- Beyond Locality: Feature-Boundary Auditing for OS-Integrated AI
- Learning Entropy and Spatial Adaptation Dynamics of Multilayer Perceptrons for Structural Point Extraction
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