Papers
Thu 9 Apr 2026
491 papers
- Beyond the Autoregressive Horizon: A Comprehensive Survey of Diffusion Models, World Modelling, and State Space Models for CodeWorld models → World models for language agents +1
- VineLM: Trie-Based Fine-Grained Control for Agentic WorkflowsLLM agents and tool use → Software engineering coding agents
- MedThink: Enhancing Diagnostic Accuracy in Small Models via Teacher-Guided Reasoning CorrectionLLM reasoning → Clinical and biomedical applications
- From Synthesis to Clinical Assistance: A Strategy-Aware Agent Framework for Autism Intervention based on Real Clinical DatasetLLM agents and tool use → Medical and scientific domain agents
- Graph Query Generation with Constraint-guided Large Language AgentsLLM agents and tool use → Web, search, and research agents
- B-PASTE: Beam-Aware Pattern-Guided Speculative Execution for Resource-Constrained LLM AgentsLLM reasoning → Reasoning for agents, planning and code +1
- On Tackling Complex Tasks with Reward Machines and Signal Temporal LogicsDeep reinforcement learning methods → Interpretable and logic-guided RL
- Functional Emotions or Situational Contexts? A Discriminating Test from the Mythos Preview System CardMechanistic interpretability → Activation steering methods
- SMART: When is it Actually Worth Expanding a Speculative Tree?Efficient LLM inference and serving → Speculative decoding
- LOLGORITHM: Funny Comment Generation Agent For Short VideosLLM agents and tool use → Multimodal and embodied agents
- HiFloat4 Format for Language Model Pre-training on Ascend NPUsMixture-of-experts → Efficient MoE training and inference systems
- Towards Responsible Multimodal Medical Reasoning via Context-Aligned Vision-Language ModelsLLM reasoning → Clinical and biomedical applications +1
- Building Better Environments for Autonomous Cyber DefenceDeep reinforcement learning methods → Adversarial robustness and RL in finance
- eBandit: Kernel-Driven Reinforcement Learning for Adaptive Video StreamingDeep reinforcement learning methods → RL for energy, networks and operations
- MedConceal: A Benchmark for Clinical Hidden-Concern Reasoning Under Partial ObservabilityLLM reasoning → Clinical and biomedical applications
- Morphology-Conditioned World Model for Cross-Embodiment Quadrupedal LocomotionWorld models → Embodied and robot world models
- SIC3D: Style Image Conditioned Text-to-3D Gaussian Splatting GenerationDiffusion models → 3D, point cloud and scene generation
- Optimal Multi-bit Generative Watermarking Schemes Under Worst-Case False-Alarm ConstraintsLLM safety and security → Watermarking generated content and models
- Cards Against LLMs: Benchmarking Humor Alignment in Large Language ModelsLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Communicate-Predict-Act: Evaluating Social Intelligence of AgentsLLM agents and tool use → Social simulation and multi-agent debate
- Task-Aware Bimanual Affordance Prediction via VLM-Guided Semantic-Geometric ReasoningLLM reasoning → Spatial and embodied reasoning
- Decomposing the Delta: What Do Models Actually Learn from Preference Pairs?LLM alignment / RLHF / preference optimisation → Process reward models for reasoning
- LMGenDrive: Bridging Multimodal Understanding and Generative World Modeling for End-to-End DrivingWorld models → World models for autonomous driving +1
- What Matters in Virtual Try-Off? Dual-UNet Diffusion Model For Garment ReconstructionDiffusion models → 3D, point cloud and scene generation
- Model Space Reasoning as Search in Feedback Space for Planning Domain GenerationLLM reasoning → Reasoning for agents, planning and code
- Every Response Counts: Quantifying Uncertainty of LLM-based Multi-Agent Systems through Tensor DecompositionLLM agents and tool use → General LLM agent frameworks and benchmarks
- Skip-Connected Policy Optimization for Implicit AdvantageLLM reasoning → Reinforcement learning for reasoning
- RAMP: Hybrid DRL for Online Learning of Numeric Action ModelsDeep reinforcement learning methods → Deep RL algorithms and representations
- GenPHRI: Agentic Generative Simulation for Physical Human-Robot InteractionLLM agents and tool use → Multimodal and embodied agents
- InsEdit: Towards Instruction-based Visual Editing via Data-Efficient Video Diffusion Models AdaptationDiffusion models → Video generation
- 3D-VCD: Hallucination Mitigation in 3D-LLM Embodied Agents through Visual Contrastive DecodingMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- EXAONE 4.5 Technical ReportMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Retrieval Augmented Classification for Confidential DocumentsRetrieval-augmented generation → Privacy and security of RAG
- Sustained Impact of Agentic Personalisation in Marketing: A Longitudinal Case StudyLLM agents and tool use → Social simulation and multi-agent debate
- StructRL: Recovering Dynamic Programming Structure from Learning Dynamics in Distributional Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- SkillForge: Forging Domain-Specific, Self-Evolving Agent Skills in Cloud Technical SupportLLM agents and tool use → Agent skill learning and evolution +1
- MARINER: A 3E-Driven Benchmark for Fine-Grained Perception and Complex Reasoning in Open-Water EnvironmentsLLM reasoning → Multimodal reasoning +1
- When Numbers Speak: Aligning Textual Numerals and Visual Instances in Text-to-Video Diffusion ModelsDiffusion models → Video generation
- Act Wisely: Cultivating Meta-Cognitive Tool Use in Agentic Multimodal ModelsLLM agents and tool use → Reinforcement learning for LLM agents
- Seeing but Not Thinking: Routing Distraction in Multimodal Mixture-of-ExpertsMixture-of-experts → Multimodal MoE models
- OpenVLThinkerV2: A Generalist Multimodal Reasoning Model for Multi-domain Visual TasksLLM reasoning → Multimodal reasoning +1
- ParseBench: A Document Parsing Benchmark for AI AgentsLLM agents and tool use → Web, search, and research agents
- RewardFlow: Generate Images by Optimizing What You RewardDiffusion models → Diffusion and flow policies for robotics +1
- Fail2Drive: Benchmarking Closed-Loop Driving GeneralizationEnd-to-end autonomous driving → End-to-end system architecture
- Self-Improving 4D Perception via Self-DistillationKnowledge distillation → Detection and dense prediction distillation
- Demystifying OPD: Length Inflation and Stabilization Strategies for Large Language ModelsKnowledge distillation → On-policy and self-distillation for LLMs
- What Drives Representation Steering? A Mechanistic Case Study on Steering RefusalLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- MolmoWeb: Open Visual Web Agent and Open Data for the Open WebLLM agents and tool use → Web, search, and research agents
- FrameCrafter: Novel View Synthesis as Video CompletionDiffusion models → 3D, point cloud and scene generation
- PIArena: A Platform for Prompt Injection EvaluationLLM safety and security → Prompt injection and agent security
- SUPERNOVA: Eliciting General Reasoning in LLMs with Reinforcement Learning on Natural InstructionsLLM reasoning → Reinforcement learning for reasoning
- Faithful GRPO: Improving Visual Spatial Reasoning in Multimodal Language Models via Constrained Policy OptimizationLLM reasoning → Spatial and embodied reasoning +1
- TTVS: Boosting Self-Exploring Reinforcement Learning via Test-time Variational SynthesisLLM reasoning → Reinforcement learning for reasoning +1
- From Safety Risk to Design Principle: Peer-Preservation in Multi-Agent LLM Systems and Its Implications for Orchestrated Democratic Discourse AnalysisLLM agents and tool use → Social simulation and multi-agent debate
- CrashSight: A Phase-Aware, Infrastructure-Centric Video Benchmark for Traffic Crash Scene Understanding and ReasoningLLM reasoning → Chain-of-thought reasoning for driving
- Entropy-Gradient Grounding: Training-Free Evidence Retrieval in Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- KnowU-Bench: Towards Interactive, Proactive, and Personalized Mobile Agent EvaluationLLM agents and tool use → GUI and mobile agents
- KV Cache Offloading for Context-Intensive TasksEfficient LLM inference and serving → KV cache optimization
- Synthetic Data for any Differentiable TargetSynthetic data and self-improvement for LLMs → LLM synthetic data generation +1
- Your Agent Is Mine: Measuring Malicious Intermediary Attacks on the LLM Supply ChainLLM agents and tool use → Agent threats, guardrails and governance
- Verify Before You Commit: Towards Faithful Reasoning in LLM Agents via Self-AuditingLLM reasoning → Reasoning for agents, planning and code +1
- Phantasia: Context-Adaptive Backdoors in Vision Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- Awakening the Sleeping Agent: Lean-Specific Agentic Data Reactivates General Tool Use in Goedel ProverLLM agents and tool use → Educational agents and math problem solving
- SkillClaw: Let Skills Evolve Collectively with Agentic EvolverLLM agents and tool use → Agent skill learning and evolution
- Don't Overthink It: Inter-Rollout Action Agreement as a Free Adaptive-Compute Signal for LLM AgentsLLM reasoning → Reasoning for agents, planning and code +1
- Scaling-Aware Data Selection for End-to-End Autonomous Driving SystemsEnd-to-end autonomous driving → End-to-end system architecture
- Bias-Constrained Diffusion Schedules for PDE Emulations: Reconstruction Error Minimization and Efficient Unrolled TrainingDiffusion models → Flow matching, time series and science
- InstAP: Instance-Aware Vision-Language Pre-Train for Spatial-Temporal UnderstandingMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Lost in the Hype: Revealing and Dissecting the Performance Degradation of Medical Multimodal Large Language Models in Image ClassificationMultimodal LLMs / vision-language models → Medical vision-language models
- DiV-INR: Extreme Low-Bitrate Diffusion Video Compression with INR ConditioningDiffusion models → Diffusion for compression and wireless
- ProMedical: Hierarchical Fine-Grained Criteria Modeling for Medical LLM Alignment via Explicit InjectionLLM alignment / RLHF / preference optimisation → Medical LLM alignment
- Fundus-R1: Training a Fundus-Reading MLLM with Knowledge-Aware Reasoning on Public DataLLM reasoning → Clinical and biomedical applications
- Weakly-Supervised Lung Nodule Segmentation via Training-Free Guidance of 3D Rectified FlowDiffusion models → Medical imaging and segmentation
- HistDiT: A Structure-Aware Latent Conditional Diffusion Model for High-Fidelity Virtual Staining in HistopathologyDiffusion models → Medical imaging and segmentation
- Securing Retrieval-Augmented Generation: A Taxonomy of Attacks, Defenses, and Future DirectionsRetrieval-augmented generation → Privacy and security of RAG
- DMax: Aggressive Parallel Decoding for dLLMsDiffusion models → Discrete and text diffusion +1
- SeLaR: Selective Latent Reasoning in Large Language ModelsLLM reasoning → Test-time compute and efficient thinking
- Towards Identification and Intervention of Safety-Critical Parameters in Large Language ModelsLLM safety and security → Safety alignment, refusal and guardrails
- Can Vision Language Models Judge Action Quality? An Empirical EvaluationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- VCAO: Verifier-Centered Agentic Orchestration for Strategic OS Vulnerability DiscoveryLLM agents and tool use → Agent threats, guardrails and governance
- When to Trust Tools? Adaptive Tool Trust Calibration For Tool-Integrated Math ReasoningLLM reasoning → Reasoning for agents, planning and code
- An Illusion of Unlearning? Assessing Machine Unlearning Through Internal RepresentationsLLM safety and security → Machine unlearning
- Orion-Lite: Distilling LLM Reasoning into Efficient Vision-Only Driving ModelsLLM reasoning → Chain-of-thought reasoning for driving +2
- Self-Debias: Self-correcting for Debiasing Large Language ModelsLLM reasoning → Test-time compute and efficient thinking
- oslash Source Models Leak What They Shouldn't nrightarrow: Unlearning Zero-Shot Transfer in Domain Adaptation Through Adversarial OptimizationLLM safety and security → Machine unlearning
- HiRO-Nav: Hybrid ReasOning Enables Efficient Embodied NavigationLLM reasoning → Spatial and embodied reasoning
- Grounding Clinical AI Competency in Human Cognition Through the Clinical World Model and Skill-Mix FrameworkWorld models → Medical and surgical world models
- Externalization in LLM Agents: A Unified Review of Memory, Skills, Protocols and Harness EngineeringLLM agents and tool use → General LLM agent frameworks and benchmarks
- MemCoT: Test-Time Scaling through Memory-Driven Chain-of-ThoughtLLM reasoning → Reasoning for agents, planning and code
- EditCaption: Human-Refined SFT and HAE-DPO for Image Editing Instruction SynthesisLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment +1
- Vision-Language Foundation Models for Comprehensive Automated Pavement Condition AssessmentMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- MedVR: Annotation-Free Medical Visual Reasoning via Agentic Reinforcement LearningLLM reasoning → Clinical and biomedical applications +2
- Equivariant Efficient Joint Discrete and Continuous MeanFlow for Molecular Graph GenerationDiffusion models → Flow matching, time series and science
- Aligning Agents via Planning: A Benchmark for Trajectory-Level Reward ModelingLLM agents and tool use → Reinforcement learning for LLM agents +1
- Value-Guidance MeanFlow for Offline Multi-Agent Reinforcement LearningOffline RL and imitation learning from data → Diffusion and flow policies for offline RL
- Activation Steering for Aligned Open-ended Generation without Sacrificing CoherenceLLM safety and security → Safety alignment, refusal and guardrails +1
- ViVa: A Video-Generative Value Model for Robot Reinforcement LearningVision-language-action models → Reinforcement learning and post-training +1
- Dual Approaches to Stochastic Control via SPDEs and the Pathwise Hopf FormulaDeep reinforcement learning methods → RL theory and sample complexity
- Multimodal Reasoning with LLM for Encrypted Traffic Interpretation: A BenchmarkLLM reasoning → Chain-of-thought reasoning for driving
- Alloc-MoE: Budget-Aware Expert Activation Allocation for Efficient Mixture-of-Experts InferenceMixture-of-experts → Efficient MoE training and inference systems
All 491
- Beyond Stochastic Exploration: What Makes Training Data Valuable for Agentic SearchLLM reasoning → Knowledge- and tool-augmented reasoning +1
- LegoDiffusion: Micro-Serving Text-to-Image Diffusion WorkflowsDiffusion models → Diffusion foundations and sampling
- Uni-ViGU: Towards Unified Video Generation and Understanding via A Diffusion-Based Video GeneratorDiffusion models → Video generation
- Small Vision-Language Models are Smart Compressors for Long Video UnderstandingMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Bias Redistribution in Visual Machine Unlearning: Does Forgetting One Group Harm Another?LLM safety and security → Machine unlearning
- OV-Stitcher: A Global Context-Aware Framework for Training-Free Open-Vocabulary Semantic SegmentationMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Test-Oriented Programming: rethinking coding for the GenAI eraLLM reasoning → Reasoning for agents, planning and code
- DiffVC: A Non-autoregressive Framework Based on Diffusion Model for Video CaptioningDiffusion models → Video generation
- From Binary Groundedness to Support Relations: Towards a Reader-Centred Taxonomy for Comprehension of AI OutputRetrieval-augmented generation → Hallucination detection in RAG
- AtlasOCR: Building the First Open-Source Darija OCR Model with Vision Language ModelsMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- Multimodal Latent Reasoning via Predictive EmbeddingsLLM reasoning → Multimodal reasoning +1
- ImplicitMemBench: Measuring Unconscious Behavioral Adaptation in Large Language ModelsLLM agents and tool use → Agent memory systems
- ABMAMBA: Multimodal Large Language Model with Aligned Hierarchical Bidirectional Scan for Efficient Video CaptioningMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Guiding a Diffusion Model by Swapping Its TokensDiffusion models → Diffusion foundations and sampling
- Guaranteeing Knowledge Integration with Joint Decoding for Retrieval-Augmented GenerationRetrieval-augmented generation → RAG robustness and adaptive retrieval
- Beyond Mamba: Enhancing State-space Models with Deformable Dilated Convolutions for Multi-scale Traffic Object DetectionState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
- PrivFedTalk: Privacy-Aware Federated Diffusion with Identity-Stable Adapters for Personalized Talking-Head GenerationDiffusion models → Robustness, privacy and adversarial aspects
- PriPG-RL: Privileged Planner-Guided Reinforcement Learning for Partially Observable Systems with Anytime-Feasible MPCDeep reinforcement learning methods → RL theory and sample complexity
- Open-Ended Instruction Realization with LLM-Enabled Multi-Planner Scheduling in Autonomous VehiclesEnd-to-end autonomous driving → Large language models for driving
- Wiring the 'Why': A Unified Taxonomy and Survey of Abductive Reasoning in LLMsLLM reasoning → Reasoning benchmarks and evaluation
- Bridging Time and Space: Decoupled Spatio-Temporal Alignment for Video GroundingMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Preference Redirection via Attention Concentration: An Attack on Computer Use AgentsLLM agents and tool use → Agent threats, guardrails and governance
- Rethinking Entropy Allocation in LLM-based ASR: Understanding the Dynamics between Speech Encoders and LLMsLLM reasoning → Audio-language model reasoning
- HEX: Humanoid-Aligned Experts for Cross-Embodiment Whole-Body ManipulationVision-language-action models → Tactile, force-aware and humanoid VLA
- MotionScape: A Motion-Stratified UAV Video Benchmark for World Modeling and Future Video GenerationWorld models → World models for navigation
- LogAct: Enabling Agentic Reliability via Shared LogsLLM agents and tool use → Software engineering coding agents
- Predicting the Benefit of Retrieval Augmentation in Open-Domain Question AnsweringRetrieval-augmented generation → RAG robustness and adaptive retrieval
- A Decomposition Perspective to Long-context Reasoning for LLMsLLM reasoning → Test-time compute and efficient thinking
- How Far Are Large Multimodal Models from Human-Level Spatial Action? A Benchmark for Goal-Oriented Embodied Navigation in Urban AirspaceMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Lighting-grounded Video Generation with Renderer-based Agent ReasoningDiffusion models → Video generation
- Rethinking Data Mixing from the Perspective of Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
- Is your algorithm unlearning or untraining?LLM safety and security → Machine unlearning
- TOOLCAD: Exploring Tool-Using Large Language Models in Text-to-CAD Generation with Reinforcement LearningLLM agents and tool use → Multimodal and embodied agents
- WorldMAP: Bootstrapping Vision-Language Navigation Trajectory Prediction with Generative World ModelsWorld models → World models for navigation +2
- Rethinking Residual Errors in Compensation-based LLM QuantizationLLM reasoning → Test-time compute and efficient thinking
- Incremental Residual Reinforcement Learning Toward Real-World Learning for Social NavigationDeep reinforcement learning methods → RL for robot navigation and UAV control
- On-Policy Distillation of Language Models for Autonomous Vehicle Motion PlanningEnd-to-end autonomous driving → Reasoning VLA and VLM driving policies +1
- Robust Length Prediction: A Perspective from Heavy-Tailed Prompt-Conditioned DistributionsEfficient LLM inference and serving → Serving systems and request scheduling
- Same Outcomes, Different Journeys: A Trace-Level Framework for Comparing Human and GUI-Agent Behavior in Production Search SystemsLLM agents and tool use → GUI and mobile agents
- EigentSearch-Q+: Enhancing Deep Research Agents with Structured Reasoning ToolsLLM agents and tool use → Web, search, and research agents
- SAT: Balancing Reasoning Accuracy and Efficiency with Stepwise Adaptive ThinkingLLM reasoning → Test-time compute and efficient thinking
- Mitigating Entangled Steering in Large Vision-Language Models for Hallucination ReductionMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- Dynamic Attentional Context Scoping: Agent-Triggered Focus Sessions for Isolated Per-Agent Steering in Multi-Agent LLM OrchestrationLLM agents and tool use → General LLM agent frameworks and benchmarks
- AnomalyAgent: Agentic Industrial Anomaly Synthesis via Tool-Augmented Reinforcement LearningLLM agents and tool use → Software engineering coding agents
- Visual Perceptual to Conceptual First-Order Rule Learning NetworksLLM reasoning → Multimodal reasoning
- Linear Representations of Hierarchical Concepts in Language ModelsMechanistic interpretability → Knowledge and representations inside LLMs
- An Agentic Evaluation Architecture for Historical Bias Detection in Educational TextbooksLLM agents and tool use → Social simulation and multi-agent debate
- FlowGuard: Towards Lightweight In-Generation Safety Detection for Diffusion Models via Linear Latent DecodingDiffusion models → Robustness, privacy and adversarial aspects
- Learning over Forward-Invariant Policy Classes: Reinforcement Learning without Safety ConcernsDeep reinforcement learning methods → Safe and constrained RL
- Task-Adaptive Retrieval over Agentic Multi-Modal Web Histories via Learned Graph MemoryLLM agents and tool use → Agent memory systems
- Networking-Aware Energy Efficiency in Agentic AI Inference: A SurveyLLM agents and tool use → Agentic AI for wireless networks
- ReRec: Reasoning-Augmented LLM-based Recommendation Assistant via Reinforcement Fine-tuningLLM reasoning → LLM reasoning for recommendation
- We Need Strong Preconditions For Using Simulations In PolicyLLM agents and tool use → Social simulation and multi-agent debate
- Silencing the Guardrails: Inference-Time Jailbreaking via Dynamic Contextual Representation AblationLLM safety and security → Jailbreaking
- Are GUI Agents Focused Enough? Automated Distraction via Semantic-level UI Element InjectionLLM agents and tool use → Agent threats, guardrails and governance +2
- Loop, Think, & Generalize: Implicit Reasoning in Recurrent-Depth TransformersLLM reasoning → Reasoning benchmarks and evaluation
- Open-Ended Video Game Glitch Detection with Agentic Reasoning and Temporal GroundingLLM agents and tool use → Multimodal and embodied agents
- Tool Retrieval Bridge: Aligning Vague Instructions with Retriever Preferences via Bridge ModelLLM agents and tool use → Tool learning and function calling
- AsyncTLS: Efficient Generative LLM Inference with Asynchronous Two-level Sparse AttentionEfficient LLM inference and serving → KV cache optimization
- AgriChain Visually Grounded Expert Verified Reasoning for Interpretable Agricultural Vision Language ModelsLLM reasoning → Clinical and biomedical applications +1
- HAWK: Head Importance-Aware Visual Token Pruning in Multimodal ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- Latent Anomaly Knowledge Excavation: Unveiling Sparse Sensitive Neurons in Vision-Language ModelsMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- TEMPER: Testing Emotional Perturbation in Quantitative ReasoningLLM reasoning → Audio-language model reasoning
- Lightweight LLM Agent Memory with Small Language ModelsLLM agents and tool use → Agent memory systems
- SEARL: Joint Optimization of Policy and Tool Graph Memory for Self-Evolving AgentsLLM agents and tool use → Reinforcement learning for LLM agents +1
- ORACLE-SWE: Quantifying the Contribution of Oracle Information Signals on SWE AgentsLLM agents and tool use → Software engineering coding agents
- Automotive Engineering-Centric Agentic AI Workflow FrameworkLLM agents and tool use → Multimodal and embodied agents
- Structured Distillation of Web Agent Capabilities Enables GeneralizationLLM agents and tool use → Web, search, and research agents
- RemoteAgent: Bridging Vague Human Intents and Earth Observation with RL-based Agentic MLLMsLLM agents and tool use → Multimodal and embodied agents
- DailyArt: Discovering Articulation from Single Static Images via Latent DynamicsWorld models → Embodied and robot world models
- The Art of (Mis)alignment: How Fine-Tuning Methods Effectively Misalign and Realign LLMs in Post-TrainingLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- Symbiotic-MoE: Unlocking the Synergy between Generation and UnderstandingMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
- The Cartesian Cut in Agentic AILLM agents and tool use → General LLM agent frameworks and benchmarks
- CivBench: Progress-Based Evaluation for LLMs' Strategic Decision-Making in Civilization VLLM agents and tool use → Reinforcement learning for LLM agents
- TrajGuard: Streaming Hidden-state Trajectory Detection for Decoding-time Jailbreak DefenseLLM safety and security → Jailbreaking
- Towards Knowledgeable Deep Research: Framework and BenchmarkLLM agents and tool use → Web, search, and research agents
- Breaking the KV Cache Bottleneck: Fan Duality Model Achieves O(1) Decode Memory with Superior Associative RecallEfficient LLM inference and serving → KV cache optimization
- CausalVAE as a Plug-in for World Models: Towards Reliable Counterfactual DynamicsWorld models → World models for language agents
- Tree-of-Evidence: Efficient "System 2" Search for Faithful Multimodal GroundingMultimodal LLMs / vision-language models → Medical vision-language models
- Multi-Agent Orchestration for High-Throughput Materials Screening on a Leadership-Class SystemLLM agents and tool use → Web, search, and research agents
- Reset-Free Reinforcement Learning for Real-World Agile Driving: An Empirical StudyEnd-to-end autonomous driving → Reinforcement learning for driving +1
- From Debate to Decision: Conformal Social Choice for Safe Multi-Agent DeliberationLLM reasoning → Reasoning for agents, planning and code +1
- Intelligent Three Level Learning Architecture for Autonomous UAV Swarms in Search and Rescue
- Interval Certifications for Multilayered Perceptrons via Lattice Traversal
- Imperfect Visual Verification for Code Edition : A Case Study on TikZ
- Large Language Models as Optimizers: A Survey of Direct vs. Tool-Augmented Approaches and Their Performance Frontiers
- A Relative-Computability Theory of Self-Improving Agents
- BioELX: Context-Aware Cross-lingual Biomedical Entity Linking without Task-Specific Supervision
- Soro: A Lightweight Foundation Model and Chatbot for Tajik
- OralAgent: Integrating Reasoning, Tools, and Knowledge for Interactive Dental Image Analysis
- Enhancing LLM Medical Coding with Structured External Knowledge
- Unlocking Fine-Grained and Within-Utterance Speaking Style Control in Prompt-Based Text-to-Speech Models
- Can LoRA Fusion Support Cross-Domain Tasks in Cloud-Edge Collaboration?
- Evaluating Large Language Models in a Complex Hidden Role Game
- Keeping an Eye on AI: A Framework for Effective Human Oversight of AI Systems
- Heterogeneous Graph Importance Scoring and Clustering with Automated LLM-based Interpretation
- Mitigating the reconstruction-detection trade-off in VAE-based unsupervised anomaly detection
- PRISM-CTG: A Foundation Model for Cardiotocography Analysis with Multi-View SSL
- Static Program Slicing Using Language Models With Dataflow-Aware Pretraining and Constrained Decoding
- Dual Triangle Attention: Effective Bidirectional Attention Without Positional Embeddings
- Multi-Label Phase Diagram Prediction in Complex Alloys via Physics-Informed Graph Attention Networks
- GRACE: A Dynamic Coreset Selection Framework for Large Language Model Optimization
- Improving DNS Exfiltration Detection via Transformer Pretraining
- ExecTune: Effective Steering of Black-Box LLMs with Guide Models
- STaR-DRO: Stateful Tsallis Reweighting for Group-Robust Structured Prediction
- Unsupervised Local Plasticity in a Multi-Frequency VisNet Hierarchy
- Data-Driven Automated Identification of Optimal Feature-Representative Images in Infrared Thermography Using Statistical and Morphological Metrics
- SenBen: Sensitive Scene Graphs for Explainable Content Moderation
- Loom: A Scalable Analytical Neural Computer Architecture
- R2G: A Multi-View Circuit Graph Benchmark Suite from RTL to GDSII
- Structural Evaluation Metrics for SVG Generation via Leave-One-Out Analysis
- Smartwatch-Based Sitting Time Estimation in Real-World Office Settings
- Policy-Aware Design of Large-Scale Factorial Experiments
- Scrapyard AI
- Alleviating Community Fear in Disasters via Multi-Agent Actor-Critic Reinforcement Learning
- p1: Better Prompt Optimization with Fewer Prompts
- Tracing the Chain: Deep Learning for Stepping-Stone Intrusion Detection
- MeshOn: Intersection-Free Mesh-to-Mesh Composition
- Lessons Without Borders? Evaluating Cultural Alignment of LLMs Using Multilingual Story Moral Generation
- MT-OSC: Path for LLMs that Get Lost in Multi-Turn Conversation
- PSIRNet: Deep Learning-based Free-breathing Rapid Acquisition Late Enhancement Imaging
- Adaptive Simulation Experiment for LLM Policy Optimization
- CERBERUS: A Three-Headed Decoder for Vertical Cloud Profiles
- Revisiting Anisotropy in Language Transformers: The Geometry of Learning Dynamics
- Weak Adversarial Neural Pushforward Method for the Wigner Transport Equation
- InstrAct: Towards Action-Centric Understanding in Instructional Videos
- State Space Models are Effective Sign Language Learners: Exploiting Phonological Compositionality for Vocabulary-Scale Recognition
- Artifacts as Memory Beyond the Agent Boundary
- Accurate and Reliable Uncertainty Estimates for Deterministic Predictions Extensions to Under and Overpredictions
- IKKA: Inversion Classification via Critical Anomalies for Robust Visual Servoing
- LLMs Underperform Graph-Based Parsers on Supervised Relation Extraction for Complex Graphs
- Adversarial Sensor Errors for Safe and Robust Wind Turbine Fleet Control
- A Little Rank Goes a Long Way: Random Scaffolds with LoRA Adapters Are All You Need
- AniGen: Unified S3 Fields for Animatable 3D Asset Generation
- Active Learning for Generalizable Detonation Performance Prediction of Energetic Materials
- Deterministic Adam-Inspired Methods with Accelerated Convergence Rate
- LPLCv2: An Expanded Dataset for Fine-Grained License Plate Legibility Classification
- RansomTrack: A Hybrid Behavioral Analysis Framework for Ransomware Detection
- Wireless Communication Enhanced Value Decomposition for Multi-Agent Reinforcement Learning
- AI Driven Soccer Analysis Using Computer Vision
- Demystifying the Silence of Correctness Bugs in PyTorch Compiler
- Accelerating Transformer-Based Monocular SLAM via Geometric Utility Scoring
- Deep Learning-Based Tracking and Lineage Reconstruction of Ligament Breakup
- Parameterized Complexity Of Representing Models Of MSO Formulas
- Efficient RL Training for LLMs with Experience Replay
- RS-OVC: Open-Vocabulary Counting for Remote-Sensing Data
- QoS-QoE Translation with Large Language Model
- Unified Multimodal Uncertain Inference
- EvoLen: Evolution-Guided Tokenization for DNA Language Model
- EfficientSign: An Attention-Enhanced Lightweight Architecture for Indian Sign Language Recognition
- An Algorithm for Fast Assembling Large-Scale Defect-Free Atom Arrays
- Geometry-Induced Long-Range Correlations in Recurrent Neural Network Quantum States
- PRAGMA: Revolut Foundation Model
- High-dimensional inference for the γ-ray sky with differentiable programming
- Creator Incentives in Recommender Systems: A Cooperative Game-Theoretic Approach for Stable and Fair Collaboration in Multi-Agent Bandits
- On Semiotic-Grounded Interpretive Evaluation of Generative Art
- VOLTA: The Surprising Ineffectiveness of Auxiliary Losses for Calibrated Deep Learning
- LEGO: Latent-space Exploration for Geometry-aware Optimization of Humanoid Kinematic Design
- Evidential Transformation Network: Turning Pretrained Models into Evidential Models for Post-hoc Uncertainty Estimation
- WildDet3D: Scaling Promptable 3D Detection in the Wild
- Spectral-transport stability and benign overfitting for minimum norm interpolation
- Practical Bayesian Inference for Speech SNNs: Uncertainty and Loss-Landscape Smoothing
- From Selection to Scheduling: Federated Geometry-Aware Correction Makes Exemplar Replay Work Better under Continual Dynamic Heterogeneity
- ViSAGE @ NTIRE 2026 Challenge on Video Saliency Prediction
- ETCH-X: Robustify Expressive Body Fitting to Clothed Humans with Composable Datasets
- GaussiAnimate: Rig Animatable Categories with Level of Dynamics
- SIM1: Physics-Aligned Simulator as Zero-Shot Data Scaler in Deformable Worlds
- E-3DPSM: A State Machine for Event-Based Egocentric 3D Human Pose Estimation
- Scal3R: Scalable Test-Time Training for Large-Scale 3D Reconstruction
- AVGen-Bench: A Task-Driven Benchmark for Multi-Granular Evaluation of Text-to-Audio-Video Generation
- Meta-learning In-Context Enables Training-Free Cross Subject Brain Decoding
- PSI: Shared State as the Missing Layer for Coherent AI-Generated Instruments in Personal AI Agents
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- SAT: Selective Aggregation Transformer for Image Super-Resolution
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- Kathleen: Oscillator-Based Byte-Level Text Classification Without Tokenization or Attention
- AtomEval: Validity-Aware Atomic Evaluation of Adversarial Claim Rewriting in Fact Verification
- DSCA: Dynamic Subspace Concept Alignment for Lifelong VLM Editing
- Are we still able to recognize pearls? Machine-driven peer review and the risk to creativity: An explainable RAG-XAI detection framework with markers extraction
- ImVideoEdit: Image-learning Video Editing via 2D Spatial Difference Attention Blocks
- MONETA: Multimodal Industry Classification through Geographic Information with Multi Agent Systems
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- HCRE: LLM-based Hierarchical Classification for Cross-Document Relation Extraction with a Prediction-then-Verification Strategy
- Shortcut Learning in Glomerular AI: Adversarial Penalties Hurt, Entropy Helps
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- Data Selection for Multi-turn Dialogue Instruction Tuning
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- Contextualising (Im)plausible Events Triggers Figurative Language
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- ReconPhys: Reconstruct Appearance and Physical Attributes from Single Video
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- Ensembles at Any Cost? Accuracy-Energy Trade-offs in Recommender Systems
- Hidden Biases in Conditioning Autoregressive Models
- QaRL: Rollout-Aligned Quantization-Aware RL for Fast and Stable Training under Training--Inference Mismatch
- Information-Theoretic Requirements for Gradient-Based Task Affinity Estimation in Multi-Task Learning
- SPARD: Self-Paced Curriculum for RL Alignment via Integrating Reward Dynamics and Data Utility
- Why Are We Lonely? Leveraging LLMs to Measure and Understand Loneliness in Caregivers and Non-caregivers
- Filling the Gaps: Selective Knowledge Augmentation for LLM Recommenders
- LPM 1.0: Video-based Character Performance Model
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- Automatic Generation of Executable BPMN Models from Medical Guidelines
- Agentivism: a learning theory for the age of artificial intelligence
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- The Weaponization of Computer Vision: Tracing Military-Surveillance Ties through Conference Sponsorship
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