Papers
Mon 13 Apr 2026
556 papers
- MindGames Arena Generalization Track: In2AI Solution with Delayed Per-Step Reward AttributionLLM agents and tool use → Reinforcement learning for LLM agents
- ClinQueryAgent: A Conversational Agent for Population Health ManagementLLM agents and tool use → Medical and scientific domain agents
- Sparse Autoencoder Decomposition of Clinical Sequence Model Representations: Feature Complexity, Task Specialisation, and Mortality PredictionMechanistic interpretability → Interpreting biomedical and science models
- RCSB PDB AI Help Desk: retrieval-augmented generation for protein structure deposition supportRetrieval-augmented generation → Medical and biomedical RAG
- Accelerating Reinforcement Learning for Wind Farm Control via Expert DemonstrationsDeep reinforcement learning methods → RL for energy, networks and operations
- SpikeMLLM: Spike-based Multimodal Large Language Models via Modality-Specific Temporal Scales and Temporal CompressionMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- LayerCache: Exploiting Layer-wise Velocity Heterogeneity for Efficient Flow Matching InferenceDiffusion models → Diffusion foundations and sampling
- DexWorldModel: Causal Latent World Modeling towards Automated Learning of Embodied TasksWorld models → Embodied and robot world models
- DSS: Dynamic Semantic Steering for Robust Concept Erasure in Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects
- Graph Propagated Projection Unlearning: A Unified Framework for Vision and Audio Discriminative ModelsLLM safety and security → Machine unlearning
- AgentForge: Execution-Grounded Multi-Agent LLM Framework for Autonomous Software EngineeringLLM agents and tool use → Software engineering coding agents
- LASA: Language-Agnostic Semantic Alignment at the Semantic Bottleneck for LLM SafetyLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- From Plan to Action: How Well Do Agents Follow the Plan?LLM agents and tool use → General LLM agent frameworks and benchmarks
- Retrieval-Augmented Generation Must Move Beyond Factual Grounding to Represent Diverse OpinionsRetrieval-augmented generation → RAG robustness and adaptive retrieval
- Towards Platonic Representation for Table Reasoning: A Foundation for Permutation-Invariant RetrievalLLM reasoning → Knowledge- and tool-augmented reasoning
- Aethon: A Reference-Based Replication Primitive for Constant-Time Instantiation of Stateful AI AgentsLLM agents and tool use → Software engineering coding agents
- Beyond Perception Errors: Semantic Fixation in Large Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- The A-R Behavioral Space: Execution-Level Profiling of Tool-Using Language Model Agents in Organizational DeploymentLLM agents and tool use → General LLM agent frameworks and benchmarks
- HTDC: Hesitation-Triggered Differential Calibration for Mitigating Hallucination in Large Vision-Language ModelsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- Spatial Atlas: Compute-Grounded Reasoning for Spatial-Aware Research Agent BenchmarksLLM reasoning → Spatial and embodied reasoning +1
- Think Before You Code: Dual Reasoning for the NLSafety-Utility Trade-Off in LLM Code GenerationLLM reasoning → Reasoning for agents, planning and code +1
- Robust Optimization for Mitigating Reward Hacking with Correlated ProxiesLLM alignment / RLHF / preference optimisation → Reward hacking and misspecification +1
- Narrative over Numbers: The Identifiable Victim Effect and its Amplification Under Alignment and Reasoning in Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
- Mathematics Teachers Interactions with a Multi-Agent System for Personalized Problem GenerationLLM agents and tool use → Educational agents and math problem solving
- LLM-Redactor: An Empirical Evaluation of Eight Techniques for Privacy-Preserving LLM RequestsLLM agents and tool use → Agent threats, guardrails and governance
- LoSA: Locality Aware Sparse Attention for Block-Wise Diffusion Language ModelsDiffusion models → Discrete and text diffusion
- REGREACT: Self-Correcting Multi-Agent Pipelines for Structured Regulatory Information ExtractionLLM agents and tool use → Web, search, and research agents
- Can we Watermark Low-Entropy LLM Outputs?LLM safety and security → Watermarking generated content and models
- ORBIT: Guided Agentic Orchestration for Autonomous C-to-Rust TranspilationLLM agents and tool use → Software engineering coding agents
- Empirical Evaluation of PDF Parsing and Chunking for Financial Question Answering with RAGRetrieval-augmented generation → Legal and financial RAG
- Think Through Uncertainty: Improving Long-Form Generation Factuality via Reasoning CalibrationLLM reasoning → Test-time compute and efficient thinking
- VISTA: Validation-Informed Trajectory Adaptation via Self-DistillationKnowledge distillation → On-policy and self-distillation for LLMs
- SIR-Bench: Evaluating Investigation Depth in Security Incident Response AgentsLLM agents and tool use → Agent threats, guardrails and governance
- When Does Visual Token Pruning Improve Calibration? The Role of Evidence Coverage in MLLMsMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- Memory as Metabolism: A Design for Companion Knowledge SystemsRetrieval-augmented generation → Agentic RAG, agents and memory
- Benchmarking Deflection and Hallucination in Large Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- TriFit: Trimodal Fusion with Protein Dynamics for Mutation Fitness PredictionMixture-of-experts → Medical and biomedical MoE
- Identity as Attractor: Geometric Evidence for Persistent Agent Architecture in LLM Activation SpaceLLM agents and tool use → General LLM agent frameworks and benchmarks
- Sample Complexity of Autoregressive Reasoning: Chain-of-Thought vs. End-to-EndLLM reasoning → Prompting and chain-of-thought reasoning
- TIPSv2: Advancing Vision-Language Pretraining with Enhanced Patch-Text AlignmentMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Self-Distillation Zero: Self-Revision Turns Binary Rewards into Dense SupervisionKnowledge distillation → On-policy and self-distillation for LLMs
- Filtered Reasoning Score: Evaluating Reasoning Quality on a Model's Most-Confident TracesLLM reasoning → Reasoning benchmarks and evaluation
- The Long-Horizon Task Mirage? Diagnosing Where and Why Agentic Systems BreakLLM agents and tool use → General LLM agent frameworks and benchmarks
- When Drawing Is Not Enough: Exploring Spontaneous Speech with Sketch for Intent Alignment in Multimodal LLMsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- AnyPoC: Universal Proof-of-Concept Test Generation for Scalable LLM-Based Bug DetectionLLM agents and tool use → Software engineering coding agents
- AutoSurrogate: An LLM-Driven Multi-Agent Framework for Autonomous Construction of Deep Learning Surrogate Models in Subsurface FlowLLM agents and tool use → Web, search, and research agents
- GoodPoint: Learning Constructive Scientific Paper Feedback from Author ResponsesLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Self-Monitoring Benefits from Structural Integration: Lessons from Metacognition in Continuous-Time Multi-Timescale AgentsDeep reinforcement learning methods → Deep RL algorithms and representations
- MedConcept: Unsupervised Concept Discovery for Interpretability in Medical VLMsMultimodal LLMs / vision-language models → Medical vision-language models
- MVAdapt: Zero-Shot Multi-Vehicle Adaptation for End-to-End Autonomous DrivingEnd-to-end autonomous driving → End-to-end system architecture
- Solving Physics Olympiad via Reinforcement Learning on Physics SimulatorsLLM reasoning → Spatial and embodied reasoning +1
- Disentangled Point Diffusion for Precise Object PlacementOffline RL and imitation learning from data → Robot manipulation imitation learning
- A Mechanistic Analysis of Looped Reasoning Language ModelsLLM reasoning → Test-time compute and efficient thinking
- ClawGuard: A Runtime Security Framework for Tool-Augmented LLM Agents Against Indirect Prompt InjectionLLM agents and tool use → Agent threats, guardrails and governance +1
- LMMs Meet Object-Centric Vision: Understanding, Segmentation, Editing and GenerationLLM reasoning → Multimodal reasoning +1
- ClawGUI: A Unified Framework for Training, Evaluating, and Deploying GUI AgentsLLM agents and tool use → GUI and mobile agents
- General365: Benchmarking General Reasoning in Large Language Models Across Diverse and Challenging TasksLLM reasoning → Mathematical reasoning
- λA: A Typed Lambda Calculus for LLM Agent CompositionLLM agents and tool use → Software engineering coding agents
- StarVLA-α: Reducing Complexity in Vision-Language-Action SystemsVision-language-action models → Generalist VLA models and benchmarks
- Agentic Aggregation for Parallel Scaling of Long-Horizon Agentic TasksLLM reasoning → Reasoning for agents, planning and code +1
- Grounded World Model for Semantically Generalizable PlanningWorld models → Embodied and robot world models
- LangFlow: Continuous Diffusion Rivals Discrete in Language ModelingDiffusion models → Discrete and text diffusion
- Collaborative Multi-Agent Scripts Generation for Enhancing Imperfect-Information Reasoning in Murder Mystery GamesLLM reasoning → Reasoning for agents, planning and code +2
- SCORP: Scene-Consistent Multi-agent Diffusion Planning with Stable Online Reinforcement Post-Training for Cooperative DrivingEnd-to-end autonomous driving → Imitation-learning end-to-end planners
- On the Robustness of Watermarking for Autoregressive Image GenerationLLM safety and security → Watermarking generated content and models
- A Mamba-Based Multimodal Network for Multiscale Blast-Induced Rapid Structural Damage AssessmentState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
- Agentic Driving Coach: Robustness and Determinism of Agentic AI-Powered Human-in-the-Loop Cyber-Physical SystemsEnd-to-end autonomous driving → Large language models for driving +1
- LARY: A Latent Action Representation Yielding Benchmark for Generalizable Vision-to-Action AlignmentVision-language-action models → Human-video and latent-action pretraining
- EA-Agent: A Structured Multi-Step Reasoning Agent for Entity AlignmentLLM reasoning → Knowledge- and tool-augmented reasoning +1
- Dual-Control Frequency-Aware Diffusion Model for Depth-Dependent Optical Microrobot Microscopy Image GenerationDiffusion models → Inverse problems and image restoration
- Playing Along: Learning a Double-Agent Defender for Belief Steering via Theory of MindLLM agents and tool use → General LLM agent frameworks and benchmarks
- Why Do Large Language Models Generate Harmful Content?LLM safety and security → Safety alignment, refusal and guardrails
- Towards Autonomous Mechanistic Reasoning in Virtual CellsLLM reasoning → Clinical and biomedical applications
- RPA-Check: A Multi-Stage Automated Framework for Evaluating Dynamic LLM-based Role-Playing AgentsLLM agents and tool use → Social simulation and multi-agent debate
- CArtBench: Evaluating Vision-Language Models on Chinese Art Understanding, Interpretation, and AuthenticityMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Back to Basics: Let Conversational Agents Remember with Just Retrieval and GenerationDeep reinforcement learning methods → RL training of language and agent models
- POINTS-Long: Adaptive Dual-Mode Visual Reasoning in MLLMsLLM reasoning → Multimodal reasoning +1
- RationalRewards: Reasoning Rewards Scale Visual Generation Both Training and Test TimeLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
- Context Kubernetes: Declarative Orchestration of Enterprise Knowledge for Agentic AI SystemsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Self-Evolving LLM Memory Extraction Across Heterogeneous TasksSynthetic data and self-improvement for LLMs → Self-rewarding alignment and self-training
- Geoparsing: Diagram Parsing for Plane and Solid Geometry with a Unified Formal LanguageLLM reasoning → Spatial and embodied reasoning +1
- MLLM-as-a-Judge Exhibits Model Preference BiasMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- A Triadic Suffix Tokenization Scheme for Numerical ReasoningLLM reasoning → Mathematical reasoning
- Finetune Like You Pretrain: Boosting Zero-shot Adversarial Robustness in Vision-language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- DA-PTQ: Drift-Aware Post-Training Quantization for Efficient Vision-Language-Action ModelsVision-language-action models → Efficient VLA inference and adaptation
- UniToolCall: Unifying Tool-Use Representation, Data, and Evaluation for LLM AgentsLLM agents and tool use → Tool learning and function calling
- FM-Agent: Scaling Formal Methods to Large Systems via LLM-Based Hoare-Style ReasoningLLM reasoning → Reasoning for agents, planning and code +1
- Relax: An Asynchronous Reinforcement Learning Engine for Omni-Modal Post-Training at ScaleDeep reinforcement learning methods → RL training of language and agent models
- Eliciting Medical Reasoning with Knowledge-enhanced Data Synthesis: A Semi-Supervised Reinforcement Learning ApproachLLM reasoning → Clinical and biomedical applications +1
- RLSpoofer: A Lightweight Evaluator for LLM Watermark Spoofing ResilienceLLM safety and security → Watermarking generated content and models
- Time is Not a Label: Continuous Phase Rotation for Temporal Knowledge Graphs and Agentic MemoryLLM agents and tool use → Agent memory systems
- A collaborative agent with two lightweight synergistic models for autonomous crystal materials researchLLM agents and tool use → Medical and scientific domain agents
- Problem Reductions at Scale: Agentic Integration of Computationally Hard ProblemsLLM agents and tool use → Software engineering coding agents
- Beyond Attention Scores: SVD-Based Vision Token Pruning for Efficient Vision-Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- Continuous Adversarial Flow ModelsDiffusion models → Flow matching, time series and science
- From Translation to Superset: Benchmark-Driven Evolution of a Production AI Agent from Rust to PythonLLM agents and tool use → Software engineering coding agents
- The Price of Ignorance: Information-Free Quotation for Data Retention in Machine UnlearningLLM safety and security → Machine unlearning
- METER: Evaluating Multi-Level Contextual Causal Reasoning in Large Language ModelsLLM reasoning → Causal reasoning in LLMs
- Attention-Weighted Value Projection for KV-Cache CompressionEfficient LLM inference and serving → KV cache optimization
- Revisiting Compositionality in Dual-Encoder Vision-Language Models: The Role of InferenceMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
All 556
- Anthropogenic Regional Adaptation in Multimodal Vision-Language ModelMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- CAGenMol: Condition-Aware Diffusion Language Model for Goal-Directed Molecular GenerationDiffusion models → Flow matching, time series and science
- OOM-RL: Out-of-Money Reinforcement Learning Market-Driven Alignment for LLM-Based Multi-Agent SystemsLLM agents and tool use → Financial trading and forecasting agents +1
- Learning How Much to Think: Difficulty-Aware Dynamic MoEs for Graph Node ClassificationMixture-of-experts → MoE for time series and graphs
- Degradation-Aware and Structure-Preserving Diffusion for Real-World Image Super-ResolutionDiffusion models → Inverse problems and image restoration
- From Attribution to Action: A Human-Centered Application of Activation SteeringMechanistic interpretability → Activation steering methods
- Three Roles, One Model: Role Orchestration at Inference Time to Close the Performance Gap Between Small and Large AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- To Learn or Not to Learn: A Litmus Test for Using Reinforcement Learning in ControlDeep reinforcement learning methods → Deep RL algorithms and representations
- Escaping the Context Bottleneck: Active Context Curation for LLM Agents via Reinforcement LearningLLM agents and tool use → Agent memory systems
- Think Before you Write: QA-Guided Reasoning for Character Descriptions in BooksLLM reasoning → Reasoning benchmarks and evaluation
- Hardening x402: PII-Safe Agentic Payments via Pre-Execution Metadata FilteringLLM agents and tool use → Agent threats, guardrails and governance
- Bridging What the Model Thinks and How It Speaks: Expressive Speech Generation via Self-Aware Intent-Realization AlignmentLLM reasoning → Audio-language model reasoning
- Beyond RAG for Cyber Threat Intelligence: A Systematic Evaluation of Graph-Based and Agentic RetrievalLLM agents and tool use → Agent threats, guardrails and governance
- Retrieval as Generation: A Unified Framework with Self-Triggered Information PlanningRetrieval-augmented generation → RAG pipeline design and evaluation
- One Scale at a Time: Scale-Autoregressive Modeling for Fluid Flow DistributionsDiffusion models → Flow matching, time series and science
- Lost in Adaptation: Layer-Selective Recovery of Temporal Reasoning in Video-Language ModelsLLM reasoning → Multimodal reasoning
- ComSim: Building Scalable Real-World Robot Data Generation via Compositional SimulationWorld models → Embodied and robot world models
- From Agent Loops to Structured Graphs:A Scheduler-Theoretic Framework for LLM Agent ExecutionLLM agents and tool use → Software engineering coding agents
- What Do Vision-Language Models Encode for Personalized Image Aesthetics Assessment?Multimodal LLMs / vision-language models → Image editing and quality assessment
- Learning from Contrasts: Synthesizing Reasoning Paths from Diverse Search TrajectoriesLLM reasoning → Test-time compute and efficient thinking
- The Missing Knowledge Layer in Cognitive Architectures for AI AgentsLLM agents and tool use → Agent memory systems
- WM-DAgger: Enabling Efficient Data Aggregation for Imitation Learning with World ModelsWorld models → Embodied and robot world models +1
- Any 3D Scene is Worth 1K Tokens: 3D-Grounded Representation for Scene Generation at ScaleDiffusion models → 3D, point cloud and scene generation
- CLASP: Closed-loop Asynchronous Spatial Perception for Open-vocabulary Desktop Object GraspingMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Learning Discrete Diffusion of Graphs via Free-Energy Gradient FlowsDiffusion models → Diffusion foundations and sampling
- The Salami Slicing Threat: Exploiting Cumulative Risks in LLM SystemsLLM safety and security → Jailbreaking
- PaperScope: A Multi-Modal Multi-Document Benchmark for Agentic Deep Research Across Massive Scientific PapersMultimodal LLMs / vision-language models → Document understanding and multimodal RAG +1
- BankerToolBench: Evaluating AI Agents in End-to-End Investment Banking WorkflowsLLM agents and tool use → Financial trading and forecasting agents
- 3D-Anchored Lookahead Planning for Persistent Robotic Scene Memory via World-Model-Based MCTSWorld models → Embodied and robot world models
- Enhancing Multimodal Large Language Models for Ancient Chinese Character Evolution Analysis via Glyph-Driven Fine-TuningMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Polyglot Teachers: Evaluating Language Models for Multilingual Synthetic Data GenerationSynthetic data and self-improvement for LLMs → LLM synthetic data generation
- Transactional Attention: Semantic Sponsorship for KV-Cache RetentionEfficient LLM inference and serving → KV cache optimization
- THEIA: Learning Complete Kleene Three-Valued Logic in a Pure-Neural Modular ArchitectureMechanistic interpretability → Steering and interpreting LLM reasoning
- Multimodal Large Language Model-Enabled Video Translation: A Role-Oriented SurveyLLM reasoning → Audio-language model reasoning +1
- Evaluating LLM Agents on Automated Software Analysis TasksLLM agents and tool use → Software engineering coding agents
- Mobile GUI Agent Privacy Personalization with Trajectory Induced Preference OptimizationLLM agents and tool use → GUI and mobile agents +1
- Dialectic-Med: Mitigating Diagnostic Hallucinations via Counterfactual Adversarial Multi-Agent DebateMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs +1
- Script-a-Video: Deep Structured Audio-visual Captions via Factorized Streams and Relational GroundingMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Decoupled Similarity for Task-Aware Token Pruning in Large Vision-Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- Sign Language Recognition in the Age of LLMsLLM reasoning → Multimodal reasoning +1
- HiEdit: Lifelong Model Editing with Hierarchical Reinforcement LearningDeep reinforcement learning methods → RL with diffusion and flow models
- Exploring Knowledge Conflicts for Faithful LLM Reasoning: Benchmark and MethodLLM reasoning → Reasoning benchmarks and evaluation +1
- Designing Adaptive Digital Nudging Systems with LLM-Driven ReasoningLLM reasoning → Reasoning for agents, planning and code
- CocoaBench: Evaluating Unified Digital Agents in the WildLLM agents and tool use → General LLM agent frameworks and benchmarks
- MedP-CLIP: Medical CLIP with Region-Aware Prompt IntegrationMultimodal LLMs / vision-language models → Medical vision-language models
- TRACE: An Experiential Framework for Coherent Multi-hop Knowledge Graph Question AnsweringLLM reasoning → Knowledge- and tool-augmented reasoning
- MathAgent: Adversarial Evolution of Constraint Graphs for Mathematical Reasoning Data SynthesisLLM reasoning → Mathematical reasoning
- Probabilistic Prediction of Neural Dynamics via Autoregressive Flow MatchingDiffusion models → Flow matching, time series and science
- Do Thought Streams Matter? Evaluating Reasoning in Gemini Vision-Language Models for Video Scene UnderstandingLLM reasoning → Multimodal reasoning +1
- Precision Synthesis of Multi-Tracer PET via VLM-Modulated Rectified Flow for Stratifying Mild Cognitive ImpairmentDiffusion models → Medical imaging and segmentation
- EmbodiedGovBench: A Benchmark for Governance, Recovery, and Upgrade Safety in Embodied Agent SystemsLLM agents and tool use → Agent threats, guardrails and governance
- A Simulation-Based Method for Testing Collaborative Learning Scaffolds Using LLM-Based Multi-Agent SystemsLLM agents and tool use → Educational agents and math problem solving
- Environmental Footprint of GenAI Research: Insights from the Moshi Foundation ModelMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Hyper-FEOD: Sparse Hypergraph-Enhanced Frame-Event Object Detection with Fine-Grained MoEMixture-of-experts → Vision mixture-of-experts
- From Answers to Arguments: Toward Trustworthy Clinical Diagnostic Reasoning with Toulmin-Guided Curriculum Goal-Conditioned LearningLLM reasoning → Clinical and biomedical applications
- BoxTuning: Directly Injecting the Object Box for Multimodal Model Fine-TuningMultimodal LLMs / vision-language models → Video understanding with MLLMs
- AIM: Intent-Aware Unified world action Modeling with Spatial Value MapsWorld models → Embodied and robot world models
- How Robust Are Large Language Models for Clinical Numeracy? An Empirical Study on Numerical Reasoning Abilities in Clinical ContextsLLM reasoning → Clinical and biomedical applications
- Semantic-Geometric Dual Compression: Training-Free Visual Token Reduction for Ultra-High-Resolution Remote Sensing UnderstandingMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- BITS Pilani at SemEval-2026 Task 9: Structured Supervised Fine-Tuning with DPO Refinement for Polarization DetectionLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- DDO-RM: Distribution-Level Policy Improvement after Reward LearningLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Quantum-Gated Task-interaction Knowledge Distillation for Pre-trained Model-based Class-Incremental LearningKnowledge distillation → Graph neural network distillation
- Frugal Knowledge Graph Construction with Local LLMs: A Zero-Shot Pipeline, Self-Consistency and Wisdom of Artificial CrowdsLLM reasoning → Knowledge- and tool-augmented reasoning +1
- OmniScript: Towards Audio-Visual Script Generation for Long-Form Cinematic VideoMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Bottleneck Tokens for Unified Multimodal RetrievalMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- Structured State-Space Regularization for Generation-Friendly Image TokenizationState-space sequence models (S4, Mamba) → Vision Mamba backbones
- Guardrails Beat Guidance: A Large-Scale Study of Rules, Skills, and Persistent Configuration for Coding AgentsLLM agents and tool use → Software engineering coding agents +1
- RefGlitch-Bench: A Benchmark for Reference-based Gameplay Glitch Detection with Vision-Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- AI Integrity: A New Paradigm for Verifiable AI GovernanceLLM reasoning → Reasoning benchmarks and evaluation
- Pando: Do Interpretability Methods Work When Models Won't Explain Themselves?Mechanistic interpretability → Knowledge and representations inside LLMs
- Where Hindsight Credit Can Reside: A Signed-Capacity View of Token Updates in RLVRLLM reasoning → Reinforcement learning for reasoning
- LaDA-Band: Language Diffusion Models for Vocal-to-Accompaniment GenerationDiffusion models → Audio, speech and music
- Sema Code: Decoupling AI Coding Agents into Programmable, Embeddable InfrastructureLLM reasoning → Reasoning for agents, planning and code +1
- From Topology to Trajectory: LLM-Driven World Models For Supply Chain ResilienceWorld models → World models for language agents
- RTMC: Step-Level Credit Assignment via Rollout TreesLLM reasoning → Reinforcement learning for reasoning +1
- Introspective Diffusion Language ModelsDiffusion models → Discrete and text diffusion
- Test-time Scaling over Perception: Resolving the Grounding Paradox in Thinking with ImagesLLM reasoning → Multimodal reasoning +1
- Diffusion-CAM: Faithful Visual Explanations for dMLLMsMultimodal LLMs / vision-language models → Image editing and quality assessment
- Sanity Checks for Agentic Data ScienceLLM agents and tool use → Web, search, and research agents
- TraversalBench: Challenging Paths to Follow for Vision Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- ArtiCAD: Articulated CAD Assembly Design via Multi-Agent Code GenerationLLM agents and tool use → Multimodal and embodied agents
- MAFIG: Multi-agent Driven Formal Instruction Generation FrameworkLLM agents and tool use → Software engineering coding agents
- Back to the Barn with LLAMAs: Evolving Pretrained LLM Backbones in Finetuning Vision Language ModelsLLM reasoning → Multimodal reasoning +1
- Energy-oriented Diffusion Bridge for Image Restoration with Foundational Diffusion ModelsDiffusion models → Inverse problems and image restoration
- ATANT v1.1: Positioning Continuity Evaluation Against Memory, Long-Context, and Agentic-Memory BenchmarksLLM agents and tool use → Agent memory systems
- Tracking High-order Evolutions via Cascading Low-rank FittingDiffusion models → Diffusion foundations and sampling
- Robust Adversarial Policy Optimization Under Dynamics UncertaintyDeep reinforcement learning methods → Adversarial robustness and RL in finance
- CFMS: A Coarse-to-Fine Multimodal Synthesis Framework for Enhanced Tabular ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning
- MMR-AD: A Large-Scale Multimodal Dataset for Benchmarking General Anomaly Detection with Multimodal Large Language ModelsMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- YIELD: A Large-Scale Dataset and Evaluation Framework for Information Elicitation AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- You Only Judge Once: Multi-response Reward Modeling in a Single Forward PassLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
- ScoRe-Flow: Complete Distributional Control via Score-Based Reinforcement Learning for Flow MatchingDiffusion models → Diffusion and flow policies for robotics +2
- FineEdit: Fine-Grained Image Edit with Bounding Box GuidanceDiffusion models → Image generation, text-to-image and editing
- Diffusion Reinforcement Learning Based Online 3D Bin Packing Spatial Strategy OptimizationDeep reinforcement learning methods → RL for robot navigation and UAV control
- Pseudo-Unification: Entropy Probing Reveals Divergent Information Patterns in Unified Multimodal ModelsLLM reasoning → Multimodal reasoning
- AgentWebBench: Benchmarking Multi-Agent Coordination in Agentic WebLLM agents and tool use → Web, search, and research agents
- Ro-SLM: Onboard Small Language Models for Robot Task Planning and Operation Code GenerationLLM reasoning → Spatial and embodied reasoning
- Mem2Evolve: Towards Self-Evolving Agents via Co-Evolutionary Capability Expansion and Experience DistillationLLM agents and tool use → General LLM agent frameworks and benchmarks +1
- HTAA: Enhancing LLM Planning via Hybrid Toolset Agentization & AdaptationLLM agents and tool use → Tool learning and function calling
- RouterWise: Joint Resource Allocation and Routing for Latency-Aware Multi-Model LLM ServingEfficient LLM inference and serving → Serving systems and request scheduling
- CASK: Core-Aware Selective KV Compression for Reasoning TracesLLM reasoning → Test-time compute and efficient thinking +1
- ZoomR: Memory Efficient Reasoning through Multi-Granularity Key Value RetrievalLLM reasoning → Test-time compute and efficient thinking +1
- Beyond A Fixed Seal: Adaptive Stealing Watermark in Large Language ModelsLLM safety and security → Watermarking generated content and models
- OccuBench: Evaluating AI Agents on Real-World Professional Tasks via Language Environment SimulationLLM agents and tool use → General LLM agent frameworks and benchmarks
- LRD-Net: A Lightweight Real-Centered Detection Network for Cross-Domain Face Forgery DetectionDiffusion models → Image generation, text-to-image and editing
- AEyeDE: An Attention-Based Attribution Framework for AI-Generated Text Detection
- SortingHat: Redefining Operating Systems Education with a Tailored Digital Teaching Assistant
- Toward Robust In-Context Learning: Leveraging Out-of-distribution Proxies for Target Inaccessible Demonstration Retrieval
- A phenomenon of AI-conformity: how algorithms change human moral decision-making
- DraDDP: A Multimodal Multi-Party Dialogue Discourse Parsing Dataset
- A Survey of Text and Speech Resources for Hausa and Fongbe: Availability, Quality, and Gaps for NLP Development
- DualView: Adaptive Local-Global Fusion for Multi-Hop Document Reranking
- MCQ Difficulty Prediction via Modeling Learner Heterogeneity Using Data-Driven Cognitive Profiling
- Linguistic Uncertainty and Reply Engagement on X: A Cross-Domain Replication of the Uncertainty-Reply Asymmetry
- When AI Tells You What You Want to Hear: Sycophantic Behavior of Large Language Models in Dementia Care Settings
- Homoglyph-based Adversarial Perturbation of Introductory Computer Science Theory Problems
- A Hormone-inspired Emotion Layer for Transformer language models (HELT)
- MorphOPC: Advancing Mask Optimization with Multi-scale Hierarchical Morphological Learning
- Confronting Label Indeterminacy in Automated Bail Decisions
- FlatASCEND: Autoregressive Clinical Sequence Generation with Continuous Time Prediction and Association-Based Pharmacological Testing
- Toward Human-AI Complementarity Across Diverse Tasks
- Beyond Sequential Prediction: Learning Financial Market Dynamics in Volatile and Non-Stationary Environments through Sentiment-Conditioned Generative Modelling
- Hierarchical RL-MPC Control for Dynamic Wake Steering in Wind Farms
- Load constrained wind farm flow control through multi-objective multi-agent reinforcement learning
- From Equations to Algorithms and Data: Transforming Microwave Engineering and Education with Machine Learning
- HHL with a Coherent Fourier Oracle: A Proof-of-Concept Quantum Architecture for Joint Melody-Harmony Generation
- Neuromorphic Continual Learning for Sequential Deployment of Nuclear Plant Monitoring Systems
- NL2SQLBench: A Modular Benchmarking Framework for LLM-Enabled NL2SQL Solutions
- A Lightweight Transformer for Pain Recognition from Brain Activity
- An Uncertainty-Aware Loss Function Incorporating Fuzzy Logic: Application to MRI Brain Image Segmentation
- Geometry-Aware CLIP Retrieval via Local Cross-Modal Alignment and Steering
- Aletheia: Physics-Conditioned Localized Artifact Attention (PhyLAA-X) for End-to-End Generalizable and Robust Deepfake Video Detection
- Saccade Attention Networks: Using Transfer Learning of Attention to Reduce Network Sizes
- A Survey of Spatial Memory Representations for Efficient Robot Navigation
- Machine learning approaches to uncover the neural mechanisms of motivated behaviour: from ADHD to individual differences in effort and reward sensitivity
- MEME-Fusion@CHiPSAL 2026: Multimodal Ablation Study of Hate Detection and Sentiment Analysis on Nepali Memes
- Generalization Guarantees on Data-Driven Tuning of Gradient Descent with Langevin Updates
- Learning Probabilistic Responsibility Allocations for Multi-Agent Interactions
- Synthetic Tabular Generators Fail to Preserve Behavioral Fraud Patterns: A Benchmark on Temporal, Velocity, and Multi-Account Signals
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