Papers
Thu 14 May 2026
636 papers
- SimGuide: Typed Multi-Context User Representations for Preference-Conditioned Agent PlanningLLM agents and tool use → General LLM agent frameworks and benchmarks
- AINTMA: Agentic AI Architecture for Autonomous Test Management with Generative Intelligence, Secure Cloud Communication and Adaptive Quality AnalyticsLLM agents and tool use → Software engineering coding agents
- Semantic Cooperative Games for Contribution Attribution in LLM-Based Multi-Agent SystemsLLM agents and tool use → Reinforcement learning for LLM agents
- A Survey on the Verification of Reinforcement Learning PoliciesDeep reinforcement learning methods → Safe and constrained RL
- Trustworthy Multi-Agent Systems: Mitigating Semantic Drift with the Argent Signaling ProtocolLLM agents and tool use → Software engineering coding agents
- TwinRouterBench: Fast Static and Live Dynamic Evaluation for Realistic Agentic LLM RoutingLLM agents and tool use → General LLM agent frameworks and benchmarks
- KVCapsule: Efficient Sequential KV Cache Compression for Vision-Language Models with Asymmetric RedundancyLLM reasoning → Multimodal reasoning +2
- The End of Trust: How Agentic AI Breaks Security AssumptionsLLM agents and tool use → Social simulation and multi-agent debate
- QuantFPFlow: Quantum Amplitude Estimation for Fokker--Planck Policy Optimisation in Continuous Reinforcement LearningDeep reinforcement learning methods → Quantum reinforcement learning
- Video Reconstruction using Diffusion-based Image-to-Video Generation with Trajectory GuidanceDiffusion models → Diffusion and flow policies for robotics
- Residual Reinforcement Learning for Robot Teleoperation under Stochastic DelaysDeep reinforcement learning methods → Deep RL algorithms and representations
- EgoExo-WM: Unlocking Exo Video for Ego World ModelsWorld models → Embodied and robot world models
- Validated Hypotheses as a Lens for Human-Likeness Evaluation in AI AgentsLLM agents and tool use → Social simulation and multi-agent debate
- Retrieval-Augmented Large Language Models for Schema-Constrained Clinical Information ExtractionRetrieval-augmented generation → Medical and biomedical RAG
- Entity-Centric World Models: Interaction-Aware Masking for Causal Video PredictionWorld models → Latent predictive world models
- Toward World Modeling of Physiological Signals with Chaos-Theoretic Balancing and Latent DynamicsWorld models → Medical and surgical world models
- GRLO: Towards Generalizable Reinforcement Learning in Open-Ended Environments from ZeroLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF +1
- DrugSAGE:Self-evolving Agent Experience for Efficient State-of-the-Art Drug DiscoveryLLM agents and tool use → Medical and scientific domain agents +1
- Video Models Can Reason with Verifiable RewardsLLM reasoning → Multimodal reasoning +1
- Reasoning Models Don't Just Think Longer, They Move DifferentlyLLM reasoning → Test-time compute and efficient thinking
- From LLM-Generated Conjectures to Lean Formalizations: Automated Polynomial Inequality Proving via Sum-of-Squares CertificatesLLM reasoning → Mathematical reasoning
- Runtime-Structured Task Decomposition for Agentic Coding SystemsLLM agents and tool use → Software engineering coding agents
- Social-Mamba: Socially-Aware Trajectory Forecasting with State-Space ModelsState-space sequence models (S4, Mamba) → Video, motion and generative Mamba models
- DualKV: Shared-Prompt Flash Attention for Efficient RL Training with Large Rollouts and Long ContextsLLM reasoning → Multimodal reasoning
- Lagrangian Flow Matching: A Least-Action Framework for Principled Path DesignDiffusion models → Flow matching, time series and science
- φ-Balancing for Mixture-of-Experts TrainingMixture-of-experts → Expert routing strategies
- PanoWorld: Geometry-Consistent Panoramic Video World ModelingWorld models → Video-generation world models and simulators
- Is One Score Enough? Rethinking the Evaluation of Sequentially Evolving LLM MemoryLLM reasoning → Test-time compute and efficient thinking
- Ensemble Monitoring for AI Control: Diverse Signals Outweigh More ComputeLLM agents and tool use → Agent threats, guardrails and governance
- ChangeFlow -- Latent Rectified Flow for Change Detection in Remote SensingDiffusion models → Inverse problems and image restoration
- Diffusion Policy for Coordinated Control of a Nonholonomic Mobile Base and Dual Arms in Door Opening and PassingDiffusion models → Diffusion and flow policies for robotics
- Belief Engine: Configurable and Inspectable Stance Dynamics in Multi-Agent LLM DeliberationLLM agents and tool use → Social simulation and multi-agent debate
- Minerva-Ego: Spatiotemporal Hints for Egocentric Video UnderstandingLLM reasoning → Spatial and embodied reasoning
- Hidden in Memory: Sleeper Memory Poisoning in LLM AgentsLLM agents and tool use → Agent threats, guardrails and governance
- From I/O to Code with Discovery AgentLLM agents and tool use → Software engineering coding agents
- Zero-Shot Goal Recognition with Large Language ModelsLLM reasoning → Reasoning for agents, planning and code
- COPRA: Conditional Parameter Adaptation with Reinforcement Learning for Video Anomaly DetectionMultimodal LLMs / vision-language models → Chart understanding and anomaly detection +1
- Context Pruning for Coding Agents via Multi-Rubric Latent ReasoningLLM reasoning → Test-time compute and efficient thinking +1
- Time-Varying Deep State Space Models for Sequences with Switching DynamicsState-space sequence models (S4, Mamba) → Core SSM architectures for language
- Solvita: Enhancing Large Language Models for Competitive Programming via Agentic EvolutionLLM agents and tool use → General LLM agent frameworks and benchmarks
- Deep Pre-Alignment for VLMsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- PhysBrain 1.0 Technical ReportVision-language-action models → Human-video and latent-action pretraining
- Training on Documents About Monitoring Leads to CoT ObfuscationLLM reasoning → Prompting and chain-of-thought reasoning
- ReactiveGWM: Steering NPC in Reactive Game World ModelsWorld models → Video-generation world models and simulators
- Assistance to Autonomy: A Systematic Literature Review of Agentic AI across the Software Development Life CycleLLM agents and tool use → Software engineering coding agents
- Reducing the Safety Tax in LLM Safety Alignment with On-Policy Self-DistillationLLM reasoning → Reasoning for agents, planning and code +2
- A3D: Agentic AI flow for autonomous Accelerator DesignLLM agents and tool use → Software engineering coding agents
- ATLAS: Agentic or Latent Visual Reasoning? One Word is Enough for BothLLM reasoning → Multimodal reasoning +1
- Aligning Latent Geometry for Spherical Flow Matching in Image GenerationDiffusion models → Flow matching, time series and science
- RAVEN: Real-time Autoregressive Video Extrapolation with Consistency-model GRPODiffusion models → Video generation
- Articraft: An Agentic System for Scalable Articulated 3D Asset GenerationLLM agents and tool use → Multimodal and embodied agents
- Quantitative Video World Model Evaluation for Geometric-ConsistencyWorld models → Video-generation world models and simulators
- Is Grep All You Need? How Agent Harnesses Reshape Agentic SearchLLM agents and tool use → Web, search, and research agents
- When Are Two Networks the Same? Tensor Similarity for Mechanistic InterpretabilityMechanistic interpretability → Circuits and mechanistic analysis
- Eradicating Negative Transfer in Multi-Physics Foundation Models via Sparse Mixture-of-Experts RoutingMixture-of-experts → MoE theory and gating functions
- SANA-WM: Efficient Minute-Scale World Modeling with Hybrid Linear Diffusion TransformerWorld models → Video-generation world models and simulators +1
- OpenDeepThink: Parallel Reasoning via Bradley-Terry AggregationLLM reasoning → Test-time compute and efficient thinking
- MetaBackdoor: Exploiting Positional Encoding as a Backdoor Attack Surface in LLMsLLM safety and security → Backdoor and data poisoning attacks
- Hand-in-the-Loop: Improving VLA Policies for Dexterous Manipulation via Seamless Hand-Arm InterventionVision-language-action models → Human-video and latent-action pretraining
- Self-Distilled Agentic Reinforcement LearningLLM agents and tool use → Reinforcement learning for LLM agents +1
- Causal Forcing++: Scalable Few-Step Autoregressive Diffusion Distillation for Real-Time Interactive Video GenerationDiffusion models → Video generation
- Forgetting That Sticks: Quantization-Permanent Unlearning via Circuit AttributionLLM safety and security → Machine unlearning
- APWA: A Distributed Architecture for Parallelizable Agentic WorkflowsLLM agents and tool use → Software engineering coding agents
- Natural Synthesis: Outperforming Reactive Synthesis Tools with Large Reasoning ModelsLLM reasoning → Reasoning benchmarks and evaluation
- MemEye: A Visual-Centric Evaluation Framework for Multimodal Agent MemoryLLM agents and tool use → Multimodal and embodied agents
- CLOVER: Closed-Loop Value Estimation and Ranking for End-to-End Autonomous Driving PlanningEnd-to-end autonomous driving → Imitation-learning end-to-end planners
- Learning from Language Feedback via Variational Policy DistillationKnowledge distillation → On-policy and self-distillation for LLMs
- Why Neighborhoods Matter: Traversal Context and Provenance in Agentic GraphRAGRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG +1
- From Text to Voice: A Reproducible and Verifiable Framework for Evaluating Tool Calling LLM AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Improving Multi-turn Dialogue Consistency with Self-Recall ThinkingLLM reasoning → Reasoning for agents, planning and code
- Dual-Dimensional Consistency: Balancing Budget and Quality in Adaptive Inference-Time ScalingLLM reasoning → Test-time compute and efficient thinking
- Veritas: Grounding LLM Agents for Reliable Vulnerability Reasoning over Stripped BinariesLLM reasoning → Reasoning for agents, planning and code +1
- Concurrency without Model Changes: Future-based Asynchronous Function Calling for LLMsLLM agents and tool use → Software engineering coding agents
- On the Cultural Anachronism and Temporal Reasoning in Vision Language ModelsLLM reasoning → Multimodal reasoning +1
- DiffusionOPD: A Unified Perspective of On-Policy Distillation in Diffusion ModelsDiffusion models → Diffusion and flow policies for robotics +1
- LATERN: Test-Time Context-Aware Explainable Video Anomaly DetectionLLM reasoning → Chain-of-thought reasoning for driving +1
- An Interpretable Latency Model for Speculative Decoding in LLM ServingEfficient LLM inference and serving → Speculative decoding
- SpeakerLLM: A Speaker-Specialized Audio-LLM for Speaker Understanding and Verification ReasoningLLM reasoning → Audio-language model reasoning
- Case-Based Calibration of Adaptive Reasoning and Execution for LLM Tool UseLLM reasoning → Reasoning for agents, planning and code +1
- Orchard: An Open-Source Agentic Modeling FrameworkLLM agents and tool use → General LLM agent frameworks and benchmarks
- WARD: Adversarially Robust Defense of Web Agents Against Prompt InjectionsLLM agents and tool use → Agent threats, guardrails and governance +1
- Multi-Agentic Approach for History Matching of Oil ReservoirsLLM agents and tool use → Multimodal and embodied agents
- From Scenes to Elements: Multi-Granularity Evidence Retrieval for Verifiable Multimodal RAGRetrieval-augmented generation → Multimodal RAG
- COTCAgent: Preventive Consultation via Probabilistic Chain-of-Thought CompletionLLM reasoning → Clinical and biomedical applications
- Boosting Reinforcement Learning with Verifiable Rewards via Randomly Selected Few-Shot GuidanceLLM reasoning → Reinforcement learning for reasoning
- Compositional Video Generation via Inference-Time GuidanceDiffusion models → Video generation
- Second-Order Actor-Critic Methods for Discounted MDPs via Policy Hessian DecompositionDeep reinforcement learning methods → RL theory and sample complexity
- Performance-Driven Policy Optimization for Speculative Decoding with Adaptive WindowingEfficient LLM inference and serving → Speculative decoding
- GraphFlow: An Architecture for Formally Verifiable Visual Workflows Enabling Reliable Agentic AI AutomationLLM agents and tool use → Software engineering coding agents
- MHSA: A Lightweight Framework for Mitigating Hallucinations via Steered Attention in LVLMsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- Evo-Depth: A Lightweight Depth-Enhanced Vision-Language-Action ModelVision-language-action models → 3D and spatial-aware VLA
- ACE-LoRA: Adaptive Orthogonal Decoupling for Continual Image EditingDiffusion models → Image generation, text-to-image and editing
- Octopus: History-Free Gradient Orthogonalization for Continual Learning in Multimodal Large Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Slot-MPC: Goal-Conditioned Model Predictive Control with Object-Centric RepresentationsWorld models → Latent predictive world models
- Toward Securing AI Agents Like Operating SystemsLLM agents and tool use → Agent threats, guardrails and governance
- Chain-of-Procedure: Hierarchical Visual-Language Reasoning for Procedural QALLM reasoning → Multimodal reasoning +1
- Representative Attention For Vision TransformersEfficient LLM inference and serving → Visual token pruning in multimodal models
- From Sycophantic Consensus to Pluralistic Repair: Why AI Alignment Must Surface DisagreementLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- SteerSeg: Attention Steering for Reasoning Video SegmentationLLM reasoning → Multimodal reasoning
- MemLens: Benchmarking Multimodal Long-Term Memory in Large Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
All 636
- Critic-Driven Voronoi-Quantization for Distilling Deep RL Policies to Explainable ModelsDeep reinforcement learning methods → Deep RL algorithms and representations
- SEDiT: Mask-Free Video Subtitle Erasure via One-step Diffusion TransformerDiffusion models → Inverse problems and image restoration
- Your CLIP has 164 dimensions of noise: Exploring the embeddings covariance eigenspectrum of contrastively pretrained vision-language transformersMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Beyond Individual Intelligence: Surveying Collaboration, Failure Attribution, and Self-Evolution in LLM-based Multi-Agent SystemsLLM agents and tool use → General LLM agent frameworks and benchmarks
- HeatKV: Head-tuned KV-cache Compression for Visual Autoregressive ModelingEfficient LLM inference and serving → Fast autoregressive visual generation
- Fast Adversarial Attacks with Gradient PredictionLLM safety and security → Jailbreaking
- Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-ThoughtLLM reasoning → Reasoning for agents, planning and code +1
- Do Coding Agents Understand Least-Privilege Authorization?LLM agents and tool use → Agent threats, guardrails and governance
- A Deterministic Agentic Workflow for HS Tariff Classification: Multi-Dimensional Rule Reasoning with Interpretable DecisionsLLM reasoning → Reasoning for agents, planning and code +1
- IFPV: An Integrated Multi-Agent Framework for Generative Operational Planning and High-Fidelity Plan VerificationLLM agents and tool use → General LLM agent frameworks and benchmarks
- Exploring Vision-Language Models for Online Signature Verification: A Zero-Shot Capability StudyLLM reasoning → Multimodal reasoning +1
- XFP: Quality-Targeted Adaptive Codebook Quantization with Sparse Outlier Separation for LLM InferenceMixture-of-experts → MoE large language models
- Learning Direct Control Policies with Flow Matching for Autonomous DrivingDiffusion models → Diffusion and flow policies for robotics +1
- Agentic AI and Human-in-the-Loop Interventions: Field Experimental Evidence from Alibaba's Customer Service OperationsLLM agents and tool use → General LLM agent frameworks and benchmarks
- The Velocity Deficit: Initial Energy Injection for Flow MatchingDiffusion models → Flow matching, time series and science
- CMRL: Collision-Aware and Memory-Enhanced Reinforcement Learning for UAV Navigation in Multi-Scale Obstacle EnvironmentsDeep reinforcement learning methods → RL for robot navigation and UAV control
- Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth InvestigationMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- Known By Their Actions: Fingerprinting LLM Browser Agents via UI TracesLLM agents and tool use → Agent threats, guardrails and governance
- Peng's Q(λ) for Conservative Value Estimation in Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
- XDomainBench: Diagnosing Reasoning Collapse in High-Dimensional Scientific Knowledge CompositionLLM reasoning → Knowledge- and tool-augmented reasoning
- Cognitive-Uncertainty Guided Knowledge Distillation for Accurate Classification of Student MisconceptionsKnowledge distillation → General knowledge distillation methods
- EVA: Editing for Versatile Alignment against JailbreaksMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +2
- Non-linear Interventions on Large Language ModelsMechanistic interpretability → Activation steering methods
- Video2GUI: Synthesizing Large-Scale Interaction Trajectories for Generalized GUI Agent PretrainingMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- EARL: Towards a Unified Analysis-Guided Reinforcement Learning Framework for Egocentric Interaction Reasoning and Pixel GroundingLLM reasoning → Spatial and embodied reasoning +1
- Addressing Terminal Constraints in Data-Driven Demand Response SchedulingDeep reinforcement learning methods → RL for energy, networks and operations
- Video-Zero: Self-Evolution Video UnderstandingLLM reasoning → Multimodal reasoning
- Agentifying Patient Dynamics within LLMs through Interacting with Clinical World ModelWorld models → Medical and surgical world models
- IntentVLA: Short-Horizon Intent Modeling for Aliased Robot ManipulationVision-language-action models → Reasoning and chain-of-thought in VLA
- SceneFunRI: Reasoning the Invisible for Task-Driven Functional Object LocalizationLLM reasoning → Spatial and embodied reasoning
- SR-Platform: An Agentic Pipeline for Natural Language-Driven Robot Simulation Environment SynthesisLLM agents and tool use → Multimodal and embodied agents
- EponaV2: Driving World Model with Comprehensive Future ReasoningWorld models → World models for autonomous driving +2
- The Rate-Distortion-Polysemanticity Tradeoff in SAEsMechanistic interpretability → SAE features and their applications
- ReMIA: a Powerful and Efficient Alternative to Membership Inference Attacks against Synthetic Data GeneratorsLLM safety and security → Membership inference attacks
- π-Bench: Evaluating Proactive Personal Assistant Agents in Long-Horizon WorkflowsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Agentic AI in Industry: Adoption Level and Deployment BarriersLLM agents and tool use → Software engineering coding agents
- Agentic Design of Compositional Descriptors via Autoresearch for Materials Science ApplicationsLLM agents and tool use → Medical and scientific domain agents
- Falkor-IRAC: Graph-Constrained Generation for Verified Legal Reasoning in Indian Judicial AILLM reasoning → Reasoning for agents, planning and code
- Teaching Large Language Models When Not to Know: Learning Temporal Critique for Ex-Ante ReasoningLLM reasoning → Test-time compute and efficient thinking
- MultiEmo-Bench: Multi-label Visual Emotion Analysis for Multi-modal Large Language ModelsMultimodal LLMs / vision-language models → Multimodal emotion understanding
- Documentation-Guided Agentic Codebase Migration from C to RustLLM agents and tool use → Software engineering coding agents
- DRL-STAF: A Deep Reinforcement Learning Framework for State-Aware Forecasting of Complex Multivariate Hidden Markov ProcessesDeep reinforcement learning methods → Deep RL algorithms and representations
- Do We Really Need External Tools to Mitigate Hallucinations? SIRA: Shared-Prefix Internal Reconstruction of AttributionMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- SliceGraph: Mapping Process Isomers in Multi-Run Chain-of-Thought ReasoningLLM reasoning → Prompting and chain-of-thought reasoning
- In-IDE Toolkit for Developers of AI-Based FeaturesLLM agents and tool use → Software engineering coding agents
- MambaRain: Multi-Scale Mamba-Attention Framework for 0-3 Hour Precipitation NowcastingState-space sequence models (S4, Mamba) → Time series forecasting with SSMs
- Fast Rates for Inverse Reinforcement LearningOffline RL and imitation learning from data → Inverse reinforcement learning +1
- DSSP: Diffusion State Space Policy with Full-History EncodingOffline RL and imitation learning from data → Robot manipulation imitation learning
- VMU-Diff: A Coarse-to-fine Multi-source Data Fusion Framework for Precipitation NowcastingDiffusion models → Flow matching, time series and science
- Angel or Demon: Investigating the Plasticity Interventions' Impact on Backdoor Threats in Deep Reinforcement LearningDeep reinforcement learning methods → Adversarial robustness and RL in finance
- Uncertainty Quantification for Large Language Diffusion ModelsDiffusion models → Discrete and text diffusion
- Remember Your Trace: Memory-Guided Long-Horizon Agentic Framework for Consistent and Hierarchical Repository-Level Code DocumentationLLM agents and tool use → Software engineering coding agents
- Resolving Action Bottleneck: Agentic Reinforcement Learning Informed by Token-Level EnergyLLM reasoning → Reinforcement learning for reasoning +1
- Learning from Failures: Correction-Oriented Policy Optimization with Verifiable RewardsLLM reasoning → Reinforcement learning for reasoning
- Cattle Trade: A Multi-Agent Benchmark for LLM Bluffing, Bidding, and BargainingLLM reasoning → Reasoning for agents, planning and code +1
- Exploring Geographic Relative Space in Large Language Models through Activation PatchingMechanistic interpretability → Knowledge and representations inside LLMs
- Language Generation as Optimal Control: Closed-Loop Diffusion in Latent Control SpaceDiffusion models → Discrete and text diffusion
- Mitigating Mask Prior Drift and Positional Attention Collapse in Large Diffusion Vision-Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- Lang2MLIP: End-to-End Language-to-Machine Learning Interatomic Potential Development with Autonomous Agentic WorkflowsLLM agents and tool use → Medical and scientific domain agents
- HEART: Exploiting Head Heterogeneity in Sparse Attention for Video DiffusionDiffusion models → Video generation
- When Robots Do the Chores: A Benchmark and Agent for Long-Horizon Household Task ExecutionLLM reasoning → Spatial and embodied reasoning +1
- Not All RAGs Are Created Equal: A Component-Wise Empirical Study for Software Engineering TasksRetrieval-augmented generation → RAG for code
- Fully Dynamic Rebalancing in Dockless Bike-Sharing Systems via Deep Reinforcement LearningDeep reinforcement learning methods → RL for energy, networks and operations
- GroupMemBench: Benchmarking LLM Agent Memory in Multi-Party ConversationsLLM agents and tool use → Agent memory systems
- ROAD: Adaptive Data Mixing for Offline-to-Online Reinforcement Learning via Bi-Level OptimizationOffline RL and imitation learning from data → Offline RL algorithms
- Contestable Multi-Agent Debate with Arena-based Argumentative Computation for Multimedia VerificationLLM agents and tool use → Social simulation and multi-agent debate
- Deepchecks: Evaluating Retrieval-Augmented Generation (RAG)Retrieval-augmented generation → RAG pipeline design and evaluation
- Head Forcing: Long Autoregressive Video Generation via Head HeterogeneityDiffusion models → Video generation +1
- LEMON: Learning Executable Multi-Agent Orchestration via Counterfactual Reinforcement LearningLLM agents and tool use → General LLM agent frameworks and benchmarks
- When Retrieval Hurts Code Completion: A Diagnostic Study of Stale Repository ContextRetrieval-augmented generation → RAG for code
- Does RAG Know When Retrieval Is Wrong? Diagnosing Context Compliance under Knowledge ConflictRetrieval-augmented generation → RAG robustness and adaptive retrieval
- From Table to Cell: Attention for Better Reasoning with TABALIGNLLM reasoning → Knowledge- and tool-augmented reasoning
- From Schema to Signal: Retrieval-Augmented Modeling for Relational Data AnalyticsRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- ClickRemoval: An Interactive Open-Source Tool for Object Removal in Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
- Exploiting LLM Agent Supply Chains via Payload-less SkillsLLM agents and tool use → Agent threats, guardrails and governance
- OmniDrop: Layer-wise Token Pruning for Omni-modal LLMs via Query-GuidanceEfficient LLM inference and serving → Audio and omni-modal token compression
- Stateful Reasoning via Insight ReplayLLM reasoning → Prompting and chain-of-thought reasoning
- LiSA: Lifelong Safety Adaptation via Conservative Policy InductionLLM safety and security → Prompt injection and agent security
- Stop Overthinking: Unlocking Efficient Listwise Reranking with Minimal ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning
- Think When Needed: Adaptive Reasoning-Driven Multimodal Embeddings with a Dual-LoRA ArchitectureLLM reasoning → Multimodal reasoning +1
- Prompting Policies for Multi-step Reasoning and Tool-Use in Black-box LLMs with Iterative Distillation of ExperienceLLM reasoning → Prompting and chain-of-thought reasoning
- BEAM: Binary Expert Activation Masking for Dynamic Routing in MoEMixture-of-experts → Efficient MoE training and inference systems
- FuzzAgent: Multi-Agent System for Evolutionary Library FuzzingLLM agents and tool use → Software engineering coding agents
- Collaborative Yet Personalized Policy Training: Single-Timescale Federated Actor-CriticDeep reinforcement learning methods → RL for energy, networks and operations
- MemLineage: Lineage-Guided Enforcement for LLM Agent MemoryLLM agents and tool use → Agent threats, guardrails and governance
- The Great Pretender: A Stochasticity Problem in LLM JailbreakLLM safety and security → Jailbreaking
- A Unified Knowledge Embedded Reinforcement Learning-based Framework for Generalized Capacitated Vehicle Routing ProblemsDeep reinforcement learning methods → RL for games and combinatorial optimization
- SWE-Chain: Benchmarking Coding Agents on Chained Release-Level Package UpgradesLLM agents and tool use → Software engineering coding agents
- Knowledge Beyond Language: Bridging the Gap in Multilingual Machine Unlearning EvaluationLLM safety and security → Machine unlearning
- DermAgent: A Self-Reflective Agentic System for Dermatological Image Analysis with Multi-Tool Reasoning and Traceable Decision-MakingLLM reasoning → Clinical and biomedical applications
- Agentic Recommender System with Hierarchical Belief-State MemoryLLM agents and tool use → Agentic recommender systems
- ChronoAgentic: A Code-based Multi-Agent World Simulator for Physically Grounded Simulation ConstructionWorld models → Video-generation world models and simulators
- Learning to Build the Environment: Self-Evolving Reasoning RL via Verifiable Environment SynthesisLLM reasoning → Reinforcement learning for reasoning +1
- Nexus : An Agentic Framework for Time Series ForecastingLLM agents and tool use → Financial trading and forecasting agents
- Model Forensics in AI-Native Wireless Networks: Taxonomy, Applications, and Case StudyLLM safety and security → Watermarking generated content and models
- Darwin Family: MRI-Trust-Weighted Evolutionary Merging for Training-Free Scaling of Language-Model ReasoningLLM reasoning → Test-time compute and efficient thinking
- Delta Forcing: Trust Region Steering for Interactive Autoregressive Video GenerationWorld models → Video-generation world models and simulators
- NodeSynth: Socially Aligned Synthetic Data for AI EvaluationSynthetic data and self-improvement for LLMs → LLM synthetic data generation
- Data-Augmented Game Starts for Accelerating Self-Play Exploration in Imperfect Information GamesDeep reinforcement learning methods → RL for games and combinatorial optimization
- Where Should Diffusion Enter a Language Model? Geometry-Guided Hidden-State ReplacementDiffusion models → Discrete and text diffusion
- Reinforcement Learning with Semantic Rewards Enables Low-Resource Language Expansion without Alignment TaxLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- RQ-MoE: Residual Quantization via Mixture of Experts for Efficient Input-Dependent Vector CompressionMixture-of-experts → MoE large language models
- Uncovering the Representation Geometry of Minimal Cores in Overcomplete Reasoning TracesLLM reasoning → Test-time compute and efficient thinking
- Herculean: An Agentic Benchmark for Financial IntelligenceLLM agents and tool use → Financial trading and forecasting agents
- Distributionally Robust Multi-Task Reinforcement Learning via Adaptive Task SamplingDeep reinforcement learning methods → Deep RL algorithms and representations
- Exemplar Partitioning for Mechanistic InterpretabilityLLM safety and security → Machine unlearning +1
- Learning with Semantic Priors: Stabilizing Point-Supervised Infrared Small Target Detection via Hierarchical Knowledge DistillationKnowledge distillation → Detection and dense prediction distillation
- CrystalReasoner: Reasoning and RL for Property-Conditioned Crystal Structure GenerationLLM reasoning → Clinical and biomedical applications
- AnyBand-Diff: A Unified Remote Sensing Image Generation and Band Repair Framework with Spectral PriorsDiffusion models → Inverse problems and image restoration
- IG-Diff: Complex Night Scene Restoration with Illumination-Guided Diffusion ModelDiffusion models → Inverse problems and image restoration
- Guided Diffusion Sampling for Precipitation Forecast InterventionsDiffusion models → Flow matching, time series and science
- Making OpenAPI Documentation Agent-Ready: Detecting Documentation and REST Smells with a Multi-Agent LLM SystemLLM agents and tool use → Software engineering coding agents
- Beyond Binary: Reframing GUI Critique as Continuous Semantic AlignmentLLM reasoning → Multimodal reasoning +1
- CoRDS: Coreset-based Representative and Diverse Selection for Streaming Video UnderstandingMultimodal LLMs / vision-language models → Video understanding with MLLMs
- ICED: Concept-level Machine Unlearning via Interpretable Concept DecompositionMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- Towards Recursive Self-Evolving Agentic Literature RetrievalLLM agents and tool use → Web, search, and research agents +1
- Factorization-Error-Free Discrete Diffusion Language Model via Speculative DecodingDiffusion models → Discrete and text diffusion +1
- Matrix-Space Reinforcement Learning for Reusing Local Transition GeometryDeep reinforcement learning methods → Deep RL algorithms and representations
- Policy Optimization in Hybrid Discrete-Continuous Action Spaces via Mixed GradientsDeep reinforcement learning methods → RL theory and sample complexity
- Minimal-Intervention KV Retention via Set-Conditioned DiversityEfficient LLM inference and serving → KV cache optimization
- To See is Not to Learn: Protecting Multimodal Data from Unauthorized Fine-Tuning of Large Vision-Language ModelMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- Web Agents Should Adopt the Plan-Then-Execute ParadigmLLM agents and tool use → Web, search, and research agents
- MetaMoE: Diversity-Aware Proxy Selection for Privacy-Preserving Mixture-of-Experts UnificationMixture-of-experts → Expert routing strategies
- Watermarking Game-Playing Agents in Perfect-Information Extensive-Form GamesLLM agents and tool use → Agent threats, guardrails and governance +1
- KVPO: ODE-Native GRPO for Autoregressive Video Alignment via KV Semantic ExplorationLLM reasoning → Reinforcement learning for reasoning +1
- Training-Free Generative Sampling via Moment-Matched Score SmoothingDiffusion models → Diffusion foundations and sampling
- CreFlow: Corrective Reflow for Sparse-Reward Embodied Video Diffusion RLDiffusion models → Diffusion and flow policies for robotics +1
- Auditing Agent Harness SafetyLLM agents and tool use → Agent threats, guardrails and governance
- Diagnosing and Correcting Concept Omission in Multimodal Diffusion TransformersDiffusion models → Robustness, privacy and adversarial aspects
- Image Restoration via Diffusion Models with Dynamic ResolutionDiffusion models → Inverse problems and image restoration
- Agentic AI Ecosystems in Higher Education: A Perspective on AI Agents to Emerging Inclusive, Agentic Multi-Agent AI Framework for Learning, Teaching and Institutional IntelligenceLLM agents and tool use → Educational agents and math problem solving
- Hypergraph Enterprise Agentic Reasoner over Heterogeneous Business SystemsLLM reasoning → Reasoning for agents, planning and code +1
- Not All Timesteps Matter Equally: Selective Alignment Knowledge Distillation for Spiking Neural NetworksKnowledge distillation → Distillation for spiking neural networks
- EnergyLens: Predictive Energy-Aware Exploration for Multi-GPU LLM Inference OptimizationMixture-of-experts → Efficient MoE training and inference systems
- Latency-Quality Routing for Functionally Equivalent Tools in LLM AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- GenCircuit-RL: Reinforcement Learning from Hierarchical Verification for Genetic Circuit DesignDeep reinforcement learning methods → RL training of language and agent models
- SimPersona: Learning Discrete Buyer Personas from Raw Clickstreams for Grounded E-Commerce AgentsLLM agents and tool use → Social simulation and multi-agent debate
- Orbital AI Computing: Carbon Tradeoffs Across Satellite Scale
- Learning Discrete Riemannian Metrics for Physical Fields with Cochain-Frame Equivarianc
- TabletCraft: Bridging a 4,000-Year Cultural Gap with Bidirectional Akkadian NMT and Cuneiform Rendering
- Dropping the Anchor: Statistical Context Summarization for Distributed Systems via Pulsar Attention
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- Generative Deep Learning for Computational Destaining and Restaining of Unregistered Digital Pathology Images
- Action-Conditioned Risk Gating for Safety-Critical Control under Partial Observability
- Artificial Intelligence-Assistant Cardiotocography: Unified Model for Signal Reconstruction, Fetal Heart Rate Analysis, and Variability Assessment
- Paraphrasing Attack Resilience of Various AI-Generated Text Detection Methods
- Implicit spatial-frequency fusion of hyperspectral and lidar data via kolmogorov-arnold networks
- Good to Go: The LOOP Skill Engine That Hits 99% Success and Slashes Token Usage by 99% via One-Shot Recording and Deterministic Replay
- Active Learners as Efficient PRP Rerankers
- Quantum Advantage in Multi Agent Reinforcement Learning
- AudioMosaic: Contrastive Masked Audio Representation Learning
- Self-Regulated Learning in Essay Writing: Consistency of Strategies and Impact on Outcomes
- DT-Transformer: A Foundation Model for Disease Trajectory Prediction on a Real-world Health System
- Wavelet-Based Observables for Koopman Analysis: An Extended Dynamic Mode Decomposition Framework
- Automatic Landmark-Based Segmentation of Human Subcortical Structures in MRI
- Diagnosing Training Inference Mismatch in LLM Reinforcement Learning via a Zero-Mismatch Reference
- Fusion-fission forecasts when AI will shift to undesirable behavior
- PreFT: Prefill-only finetuning for efficient inference
- MetaAgent-X : Breaking the Ceiling of Automatic Multi-Agent Systems via End-to-End Reinforcement Learning
- ASH: Agents that Self-Hone in Long-Horizon Worlds
- Towards Fine-Grained and Verifiable Concept Bottleneck Models