Papers
Tue 3 Mar 2026
433 papers
- Beyond the 'Diff': Addressing Agentic Entropy in Agentic Software DevelopmentLLM agents and tool use → Software engineering coding agents
- DeepReviewer 2.0: A Traceable Agentic System for Auditable Scientific Peer ReviewLLM agents and tool use → Web, search, and research agents
- Evaluating Prompting Strategies for Chart Question Answering with Large Language ModelsLLM reasoning → Prompting and chain-of-thought reasoning
- Thinking into the Future: Latent Lookahead Training for TransformersLLM reasoning → Test-time compute and efficient thinking
- An experimental study of KV cache reuse strategies in chunk-level caching systemsRetrieval-augmented generation → Generation and context integration +1
- Expected Reward Prediction, with Applications to Model RoutingLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Locally Coherent Parallel Decoding in Diffusion Language ModelsDiffusion models → Discrete and text diffusion +1
- Multi-Agent Debate with Memory MaskingLLM reasoning → Reasoning for agents, planning and code +1
- GSI Agent: Domain Knowledge Enhancement for Large Language Models in Green Stormwater InfrastructureLLM agents and tool use → Multimodal and embodied agents
- CraniMem: Cranial Inspired Gated and Bounded Memory for Agentic SystemsLLM agents and tool use → Agent memory systems
- Form Follows Function: Recursive Stem ModelLLM reasoning → Test-time compute and efficient thinking
- Preventing Curriculum Collapse in Self-Evolving Reasoning SystemsLLM reasoning → Reasoning for agents, planning and code +1
- Evidence-based Distributional Alignment for Large Language ModelsLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- VB: Visibility Benchmark for Visibility and Perspective Reasoning in ImagesLLM reasoning → Multimodal reasoning +1
- MultiGen: Level-Design for Editable Multiplayer Worlds in Diffusion Game EnginesWorld models → Video-generation world models and simulators
- Does Semantic Noise Initialization Transfer from Images to Videos? A Paired Diagnostic StudyDiffusion models → Video generation
- Hybrid Orchestration of Edge AI and Microservices via Graph-based Self-Imitation LearningOffline RL and imitation learning from data → Offline multi-agent RL +1
- Act-Observe-Rewrite: Multimodal Coding Agents as In-Context Policy Learners for Robot ManipulationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- Understanding the Dynamics of Demonstration Conflict in In-Context LearningMechanistic interpretability → Probing deception, bias and beliefs
- Benchmark of Benchmarks: Unpacking Influence and Code Repository Quality in LLM Safety BenchmarksLLM safety and security → Safety alignment, refusal and guardrails
- Social Norm Reasoning in Multimodal Language Models: An EvaluationLLM reasoning → Multimodal reasoning +1
- stratum: A System Infrastructure for Massive Agent-Centric ML WorkloadsLLM agents and tool use → Web, search, and research agents
- Build, Judge, Optimize: A Blueprint for Continuous Improvement of Multi-Agent Consumer AssistantsLLM agents and tool use → Social simulation and multi-agent debate
- Benchmarking Emergent Coordination in Large-Scale LLM Populations: An Evaluation Framework on the MoltBook ArchiveLLM agents and tool use → General LLM agent frameworks and benchmarks
- PinCLIP: Large-scale Foundational Multimodal Representation at PinterestMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- RAG-X: Systematic Diagnosis of Retrieval-Augmented Generation for Medical Question AnsweringRetrieval-augmented generation → Medical and biomedical RAG
- Verify to Amplify: Improving Reasoning via Learned Chain-of-Thought VerificationLLM reasoning → Test-time compute and efficient thinking
- SafeCRS: Personalized Safety Alignment for LLM-Based Conversational Recommender SystemsLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- Logit-Level Uncertainty Quantification in Vision-Language Models for Histopathology Image AnalysisMultimodal LLMs / vision-language models → Medical vision-language models
- Q-Measure-Learning for Continuous State RL: Efficient Implementation and ConvergenceDeep reinforcement learning methods → RL theory and sample complexity
- The Controllability Trap: A Governance Framework for Military AI AgentsWorld models → Latent dynamics models and model-based RL +1
- Phys4D: Fine-Grained Physics-Consistent 4D Modeling from Video DiffusionWorld models → Latent predictive world models +1
- Beyond Pixel Histories: World Models with Persistent 3D StateWorld models → Video-generation world models and simulators
- Minimax Optimal Strategy for Delayed Observations in Online Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
- When Shallow Wins: Silent Failures and the Depth-Accuracy Paradox in Latent ReasoningLLM reasoning → Mathematical reasoning
- Biased Generalization in Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- Asymmetric Goal Drift in Coding Agents Under Value ConflictLLM agents and tool use → Software engineering coding agents
- [Re] FairDICE: A Fair Tradeoff in Multi-objective Offline RLOffline RL and imitation learning from data → Offline RL algorithms
- mHC-HSI: Clustering-Guided Hyper-Connection Mamba for Hyperspectral Image ClassificationState-space sequence models (S4, Mamba) → Hyperspectral image analysis with Mamba
- Parallel Test-Time Scaling with Multi-Sequence VerifiersLLM reasoning → Test-time compute and efficient thinking
- On Google's SynthID-Text LLM Watermarking System: Theoretical Analysis and Empirical ValidationLLM safety and security → Watermarking generated content and models
- Tracing Pharmacological Knowledge In Large Language ModelsMechanistic interpretability → Interpreting biomedical and science models
- Accelerating OpenPangu Inference on NPU via Speculative DecodingEfficient LLM inference and serving → Speculative decoding
- LiteVLA-Edge: Quantized On-Device Multimodal Control for Embedded RoboticsVision-language-action models → Efficient VLA inference and adaptation
- MemSifter: Offloading LLM Memory Retrieval via Outcome-Driven Proxy ReasoningLLM reasoning → Reasoning for agents, planning and code
- CFG-Ctrl: Control-Based Classifier-Free Diffusion GuidanceDiffusion models → Diffusion foundations and sampling
- How to Peel with a Knife: Aligning Fine-Grained Manipulation with Human PreferenceLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Beyond Language Modeling: An Exploration of Multimodal PretrainingMixture-of-experts → Multimodal MoE models
- Inherited Goal Drift: Contextual Pressure Can Undermine Agentic GoalsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Speculative Speculative DecodingEfficient LLM inference and serving → Speculative decoding
- Density-Guided Response Optimization: Community-Grounded Alignment via Implicit Acceptance SignalsLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- COP-GEN: Latent Diffusion Transformer for Copernicus Earth Observation DataDiffusion models → Inverse problems and image restoration
- AI-for-Science Low-code Platform with Bayesian Adversarial Multi-Agent FrameworkLLM agents and tool use → General LLM agent frameworks and benchmarks
- Learning When to Act or Refuse: Guarding Agentic Reasoning Models for Safe Multi-Step Tool UseLLM reasoning → Reasoning for agents, planning and code +1
- Code2Math: Can Your Code Agent Effectively Evolve Math Problems Through Exploration?LLM agents and tool use → Educational agents and math problem solving
- Specificity-aware reinforcement learning for fine-grained open-world classificationDeep reinforcement learning methods → RL training of language and agent models
- Chain of World: World Model Thinking in Latent MotionWorld models → Embodied and robot world models +1
- BeyondSWE: Can Current Code Agent Survive Beyond Single-Repo Bug Fixing?LLM agents and tool use → Software engineering coding agents
- MoD-DPO: Towards Mitigating Cross-modal Hallucinations in Omni LLMs using Modality Decoupled Preference OptimizationLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
- Type-Aware Retrieval-Augmented Generation with Dependency Closure for Solver-Executable Industrial Optimization ModelingRetrieval-augmented generation → RAG pipeline design and evaluation
- FEAST: Retrieval-Augmented Multi-Hierarchical Food Classification for the FoodEx2 SystemRetrieval-augmented generation → Time series and agricultural RAG
- Saarthi for AGI: Towards Domain-Specific General Intelligence for Formal VerificationLLM agents and tool use → General LLM agent frameworks and benchmarks
- Less Noise, Same Certificate: Retain Sensitivity for UnlearningLLM safety and security → Machine unlearning
- Conditioned Activation Transport for T2I Safety SteeringMechanistic interpretability → Steering and probing for LLM safety
- Information Routing in Atomistic Foundation Models: How Task Alignment and Equivariance Shape Linear DisentanglementMechanistic interpretability → Interpreting biomedical and science models
- From Language to Action: Can LLM-Based Agents Be Used for Embodied Robot Cognition?LLM agents and tool use → Multimodal and embodied agents
- Agentic AI-based Coverage Closure for Formal VerificationLLM agents and tool use → Software engineering coding agents
- Edit in 2D, Verify in 3D: Reinforcement Learning for Multi-view Consistent Scene EditingDiffusion models → 3D, point cloud and scene generation +1
- APRES: An Agentic Paper Revision and Evaluation SystemLLM agents and tool use → Web, search, and research agents
- Deep Q-Learning-Based Gain Scheduling for Nonlinear Quadcopter DynamicsDeep reinforcement learning methods → RL for robot navigation and UAV control
- AWDiff: An a trous wavelet diffusion model for lung ultrasound image synthesisDiffusion models → Medical imaging and segmentation
- AI Space Physics: Constitutive boundary semantics for open AI institutionsLLM agents and tool use → Agent threats, guardrails and governance
- Beyond Task Completion: Revealing Corrupt Success in LLM Agents through Procedure-Aware EvaluationLLM agents and tool use → Software engineering coding agents
- MoECLIP: Patch-Specialized Experts for Zero-shot Anomaly DetectionMixture-of-experts → Vision mixture-of-experts
- TAO-Attack: Toward Advanced Optimization-Based Jailbreak Attacks for Large Language ModelsLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- Beyond Factual Correctness: Mitigating Preference-Inconsistent Explanations in Explainable RecommendationLLM alignment / RLHF / preference optimisation → Preference alignment for recommenders and RAG
- RAPO: Expanding Exploration for LLM Agents via Retrieval-Augmented Policy OptimizationRetrieval-augmented generation → Agentic RAG, agents and memory +1
- TikZilla: Scaling Text-to-TikZ with High-Quality Data and Reinforcement LearningDeep reinforcement learning methods → RL with diffusion and flow models
- Reinforcement Learning with Symbolic Reward MachinesDeep reinforcement learning methods → Interpretable and logic-guided RL
- EduVQA: Towards Concept-Aware Assessment of Educational AI-Generated VideosMixture-of-experts → Vision mixture-of-experts
- V3DB: Audit-on-Demand Zero-Knowledge Proofs for Verifiable Vector Search over Committed SnapshotsRetrieval-augmented generation → Privacy and security of RAG
- PrivMedChat: End-to-End Differentially Private RLHF for Medical Dialogue SystemsLLM alignment / RLHF / preference optimisation → Medical LLM alignment
- Step-Level Sparse Autoencoder for Reasoning Process InterpretationLLM reasoning → Reasoning benchmarks and evaluation +1
- REGAL: A Registry-Driven Architecture for Deterministic Grounding of Agentic AI in Enterprise TelemetryLLM agents and tool use → Software engineering coding agents
- OrchMAS: Orchestrated Reasoning with Multi Collaborative Heterogeneous Scientific Expert Structured AgentsLLM reasoning → Reasoning for agents, planning and code +1
- SpatialText: A Pure-Text Cognitive Benchmark for Spatial Understanding in Large Language ModelsLLM reasoning → Spatial and embodied reasoning
- MaBERT:A Padding Safe Interleaved Transformer Mamba Hybrid Encoder for Efficient Extended Context Masked Language ModelingState-space sequence models (S4, Mamba) → Core SSM architectures for language
- Why Does RLAIF Work At All?LLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Contextualized Privacy Defense for LLM AgentsLLM agents and tool use → Agent threats, guardrails and governance
- DreamFlow: Local Navigation Beyond Observation via Conditional Flow Matching in the Latent SpaceDiffusion models → Diffusion and flow policies for robotics
- TagaVLM: Topology-Aware Global Action Reasoning for Vision-Language NavigationLLM reasoning → Spatial and embodied reasoning +1
- Architecting Trust in Artificial Epistemic AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Semi-Supervised Few-Shot Adaptation of Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Sparse autoencoders reveal organized biological knowledge but minimal regulatory logic in single-cell foundation models: a comparative atlas of Geneformer and scGPTMechanistic interpretability → Interpreting biomedical and science models
- TC-Pad'e: Trajectory-Consistent Pad'e Approximation for Diffusion AccelerationDiffusion models → Diffusion foundations and sampling
- ShipTraj-R1: Reinforcing Ship Trajectory Prediction in Large Language Models via Group Relative Policy OptimizationLLM reasoning → Reinforcement learning for reasoning
- Temporal Consistency Improves Generalization in Contextual Offline Meta Reinforcement LearningOffline RL and imitation learning from data → Decision transformers and sequence modeling
- On the Structural Limitations of Weight-Based Neural Adaptation and the Role of Reversible Behavioral LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- TRACE: Task-Adaptive Reasoning and Representation Learning for Universal Multimodal RetrievalLLM reasoning → Multimodal reasoning
- Interpretable Motion-Attentive Maps: Spatio-Temporally Localizing Concepts in Video Diffusion TransformersDiffusion models → Video generation
All 433
- Learning to Generate and Extract: A Multi-Agent Collaboration Framework For Zero-shot Document-level Event Arguments ExtractionLLM agents and tool use → General LLM agent frameworks and benchmarks
- SAE as a Crystal Ball: Interpretable Features Predict Cross-domain Transferability of LLMs without TrainingMechanistic interpretability → SAE features and their applications
- Intrinsic Geometry-Appearance Consistency Optimization for Sparse-View Gaussian SplattingDiffusion models → 3D, point cloud and scene generation
- LLandMark: A Multi-Agent Framework for Landmark-Aware Multimodal Interactive Video RetrievalLLM agents and tool use → Multimodal and embodied agents
- SemanticDialect: Semantic-Aware Mixed-Format Quantization for Video Diffusion TransformersDiffusion models → Diffusion foundations and sampling
- SIGMark: Scalable In-Generation Watermark with Blind Extraction for Video DiffusionDiffusion models → Robustness, privacy and adversarial aspects +1
- Think-as-You-See: Streaming Chain-of-Thought Reasoning for Large Vision-Language ModelsLLM reasoning → Multimodal reasoning +1
- Nodes Are Early, Edges Are Late: Probing Diagram Representations in Large Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Learning in Markov Decision Processes with Exogenous DynamicsDeep reinforcement learning methods → RL theory and sample complexity
- LLM-based Argument Mining meets Argumentation and Description Logics: a Unified Framework for Reasoning about DebatesLLM reasoning → Reasoning for agents, planning and code
- Toward Early Quality Assessment of Text-to-Image Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- Structure-Aware Text Recognition for Ancient Greek Critical EditionsMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- Guideline-Grounded Evidence Accumulation for High-Stakes Agent VerificationLLM agents and tool use → Medical and scientific domain agents
- VSearcher: Long-Horizon Multimodal Search Agent via Reinforcement LearningLLM agents and tool use → Multimodal and embodied agents +1
- OCR or Not? Rethinking Document Information Extraction in the MLLMs Era with Real-World Large-Scale DatasetsLLM reasoning → Multimodal reasoning +1
- Agentified Assessment of Logical Reasoning AgentsLLM reasoning → Reasoning benchmarks and evaluation
- Rethinking Code Similarity for Automated Algorithm Design with LLMsLLM reasoning → Reasoning for agents, planning and code
- Generative adversarial imitation learning for robot swarms: Learning from human demonstrations and trained policiesOffline RL and imitation learning from data → Imitation learning methods
- Agentic Self-Evolutionary Replanning for Embodied NavigationLLM agents and tool use → Multimodal and embodied agents
- EvoSkill: Automated Skill Discovery for Multi-Agent SystemsLLM agents and tool use → Agent skill learning and evolution
- Next Embedding Prediction Makes World Models StrongerWorld models → Latent dynamics models and model-based RL +1
- Efficient Self-Evaluation for Diffusion Language Models via Sequence RegenerationDiffusion models → Discrete and text diffusion
- Seeing Clearly without Training: Mitigating Hallucinations in Multimodal LLMs for Remote SensingMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- MultiShadow: Multi-Object Shadow Generation for Image Compositing via Diffusion ModelDiffusion models → 3D, point cloud and scene generation
- Practical FP4 Training for Large-Scale MoE Models on Hopper GPUsMixture-of-experts → Efficient MoE training and inference systems
- From "What" to "How": Constrained Reasoning for Autoregressive Image GenerationLLM reasoning → Multimodal reasoning
- A Natural Language Agentic Approach to Study Affective PolarizationLLM agents and tool use → Social simulation and multi-agent debate
- MiM-DiT: MoE in MoE with Diffusion Transformers for All-in-One Image RestorationDiffusion models → Inverse problems and image restoration +1
- Graph-GRPO: Stabilizing Multi-Agent Topology Learning via Group Relative Policy OptimizationLLM reasoning → Reinforcement learning for reasoning +1
- ShareVerse: Multi-Agent Consistent Video Generation for Shared World ModelingWorld models → Video-generation world models and simulators
- ReCo-Diff: Residual-Conditioned Deterministic Sampling for Cold Diffusion in Sparse-View CTDiffusion models → Medical imaging and segmentation
- Retrieval-Augmented Robots via Retrieve-Reason-ActRetrieval-augmented generation → Agentic RAG, agents and memory
- VisionCreator: A Native Visual-Generation Agentic Model with Understanding, Thinking, Planning and CreationLLM agents and tool use → Multimodal and embodied agents
- ITLC at SemEval-2026 Task 11: Normalization and Deterministic Parsing for Formal Reasoning in LLMsLLM reasoning → Reasoning benchmarks and evaluation
- From Shallow to Deep: Pinning Semantic Intent via Causal GRPOLLM reasoning → Reasoning for agents, planning and code +1
- Evaluating Cross-Modal Reasoning Ability and Problem Characteristics with Multimodal Item Response TheoryLLM reasoning → Multimodal reasoning +1
- Real-Time Generation of Game Video Commentary with Multimodal LLMs: Pause-Aware Decoding ApproachesMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Improving Diffusion Planners by Self-Supervised Action Gating with EnergiesOffline RL and imitation learning from data → Diffusion and flow policies for offline RL +1
- Compositional Visual Planning via Inference-Time Diffusion ScalingDiffusion models → Diffusion and flow policies for robotics
- StitchCUDA: An Automated Multi-Agents End-to-End GPU Programing Framework with Rubric-based Agentic Reinforcement LearningLLM agents and tool use → Software engineering coding agents
- SaFeR-ToolKit: Structured Reasoning via Virtual Tool Calling for Multimodal SafetyLLM reasoning → Reasoning for agents, planning and code +3
- Robust Heterogeneous Analog-Digital Computing for Mixture-of-Experts Models with Theoretical Generalization GuaranteesMixture-of-experts → MoE theory and gating functions
- Cross-Family Speculative Prefill: Training-Free Long-Context Compression with Small Draft ModelsLLM agents and tool use → Agent memory systems +1
- MASPOB: Bandit-Based Prompt Optimization for Multi-Agent Systems with Graph Neural NetworksLLM agents and tool use → General LLM agent frameworks and benchmarks
- See and Remember: A Multimodal Agent for Web TraversalLLM agents and tool use → Web, search, and research agents
- Uni-Skill: Building Self-Evolving Skill Repository for Generalizable Robotic ManipulationSynthetic data and self-improvement for LLMs → Self-evolving LLM agents
- Direct Reward Fine-Tuning on Poses for Single Image to 3D Human in the WildDiffusion models → 3D, point cloud and scene generation
- His2Trans: A Knowledge-Guided Agentic Framework for Project-Level C-to-Rust MigrationLLM agents and tool use → Software engineering coding agents
- Think, But Don't Overthink: Reproducing Recursive Language ModelsLLM reasoning → Test-time compute and efficient thinking
- Real-Time Generative Policy via Langevin-Guided Flow Matching for Autonomous DrivingDiffusion models → Diffusion and flow policies for robotics +2
- Heterogeneous Agent Collaborative Reinforcement LearningLLM agents and tool use → Reinforcement learning for LLM agents +1
- AgentAssay: Token-Efficient Regression Testing for Non-Deterministic AI Agent WorkflowsLLM agents and tool use → Software engineering coding agents
- SUN: Shared Use of Next-token Prediction for Efficient Multi-LLM Disaggregated ServingEfficient LLM inference and serving → Serving systems and request scheduling
- Extending the Formalism and Theoretical Foundations of Cryptography to AILLM agents and tool use → Agent threats, guardrails and governance
- ExpGuard: LLM Content Moderation in Specialized DomainsLLM safety and security → Safety alignment, refusal and guardrails
- LiveAgentBench: Comprehensive Benchmarking of Agentic Systems Across 104 Real-World ChallengesLLM agents and tool use → General LLM agent frameworks and benchmarks
- Towards Parameter-Free Temporal Difference LearningDeep reinforcement learning methods → RL theory and sample complexity
- Wasserstein Proximal Policy GradientDeep reinforcement learning methods → RL theory and sample complexity
- CAWM-Mamba: A unified model for infrared-visible image fusion and compound adverse weather restorationState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
- CAPT: Confusion-Aware Prompt Tuning for Reducing Vision-Language MisalignmentMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Through the Lens of Contrast: Self-Improving Visual Reasoning in VLMsLLM reasoning → Multimodal reasoning +1
- Generalizable Knowledge Distillation from Vision Foundation Models for Semantic SegmentationKnowledge distillation → Detection and dense prediction distillation
- CoDAR: Continuous Diffusion Language Models are More Powerful Than You ThinkLLM reasoning → Diffusion reasoning and test-time scaling +1
- On Discriminative vs. Generative classifiers: Rethinking MLLMs for Action UnderstandingLLM reasoning → Spatial and embodied reasoning +1
- Orality: A Semantic Canvas for Externalizing and Clarifying Thoughts with SpeechLLM reasoning → Audio-language model reasoning
- AnchorDrive: LLM Scenario Rollout with Anchor-Guided Diffusion Regeneration for Safety-Critical Scenario GenerationDiffusion models → Diffusion and flow policies for robotics
- Geometry-Aware Attention Guidance for Diffusion Models via Modern Hopfield DynamicsDiffusion models → Diffusion foundations and sampling
- LLM-MLFFN: Multi-Level Autonomous Driving Behavior Feature Fusion via Large Language ModelEnd-to-end autonomous driving → Large language models for driving
- Agentic Mixed-Source Multi-Modal Misinformation Detection with Adaptive Test-Time ScalingLLM reasoning → Multimodal reasoning +2
- Learning Object-Centric Spatial Reasoning for Sequential Manipulation in Cluttered EnvironmentsLLM reasoning → Spatial and embodied reasoning
- ParEVO: Synthesizing Code for Irregular Data: High-Performance Parallelism through Agentic EvolutionLLM agents and tool use → Software engineering coding agents
- NeuroProlog: Multi-Task Fine-Tuning for Neurosymbolic Mathematical Reasoning via the Cocktail EffectLLM reasoning → Reasoning benchmarks and evaluation
- What Capable Agents Must Know: Selection Theorems for Robust Decision-Making under UncertaintyWorld models → World models for language agents
- MUSE: A Run-Centric Platform for Multimodal Unified Safety Evaluation of Large Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- PRISM: Pushing the Frontier of Deep Think via Process Reward Model-Guided InferenceLLM reasoning → Reinforcement learning for reasoning +1
- Deep Interest Mining for Intent-Enriched Semantic IDs in Multimodal Generative Recommendation
- The Tool-Overuse Illusion: Why Does LLM Prefer External Tools over Internal Knowledge?
- Acoustic and Facial Markers of Perceived Conversational Success in Spontaneous Speech
- An Initial Exploration of Contrastive Prompt Tuning to Generate Energy-Efficient Code
- MERIT: Memory-Enhanced Retrieval for Interpretable Knowledge Tracing
- EEG-Based Brain-LLM Interface for Human Preference Aligned Generation
- EEG-SeeGraph: Interpreting functional connectivity disruptions in dementias via sparse-explanatory dynamic EEG-graph learning
- Tokenization Tradeoffs in Structured EHR Foundation Models
- Task Expansion and Cross Refinement for Open-World Conditional Modeling
- Suppressing Domain-Specific Hallucination in Construction LLMs: A Knowledge Graph Foundation for GraphRAG and QLoRA on River and Sediment Control Technical Standards
- Benchmarking Compact VLMs for Clip-Level Surveillance Anomaly Detection Under Weak Supervision
- Chart Deep Research in LVLMs via Parallel Relative Policy Optimization
- XAI and Few-shot-based Hybrid Classification Model for Plant Leaf Disease Prognosis
- GNN For Muon Particle Momentum estimation
- AutoFigure-Edit: Generating Editable Scientific Illustration
- Unmixing ATR-μFTIR spectroscopic images of cross-sections of historical oil paintings
- ERP-RiskBench: Leakage-Safe Ensemble Learning for Financial Risk
- calibfusion: Transformer-Based Differentiable Calibration for Radar-Camera Fusion Detection in Water-Surface Environments
- MAD-SmaAt-GNet: A Multimodal Advection-Guided Neural Network for Precipitation Nowcasting
- VSPrefill: Vertical-Slash Sparse Attention with Lightweight Indexing for Long-Context Prefilling
- Learning Unified Distance Metric for Heterogeneous Attribute Data Clustering
- Capability Thresholds and Manufacturing Topology: How Embodied Intelligence Triggers Phase Transitions in Economic Geography
- SENTINEL: Stagewise Integrity Verification for Pipeline Parallel Decentralized Training
- Controllable Generative Sandbox for Causal Inference
- Belief-Sim: Towards Belief-Driven Simulation of Demographic Misinformation Susceptibility
- Hazard-Aware Traffic Scene Graph Generation
- ByteFlow: Language Modeling through Adaptive Byte Compression without a Tokenizer
- An Effective Data Augmentation Method by Asking Questions about Scene Text Images
- Spectrum Shortage for Radio Sensing? Leveraging Ambient 5G Signals for Human Activity Detection
- Transport Clustering: Solving Low-Rank Optimal Transport via Clustering
- From Local Matches to Global Masks: Template-Guided Instance Detection and Segmentation in Open-World Scenes
- Confidence-aware Monocular Depth Estimation for Minimally Invasive Surgery
- Modeling Cross-vision Synergy for Unified Large Vision Model
- Real-time tightly coupled GNSS and IMU integration via Factor Graph Optimization
- Real-time loosely coupled GNSS and IMU integration via Factor Graph Optimization
- Tucano 2 Cool: Better Open Source LLMs for Portuguese
- Trade-offs in Ensembling, Merging and Routing Among Parameter-Efficient Experts
- Role-Aware Conditional Inference for Spatiotemporal Ecosystem Carbon Flux Prediction
- Directional Neural Collapse Explains Few-Shot Transfer in Self-Supervised Learning
- mlx-snn: Spiking Neural Networks on Apple Silicon via MLX
- Multi-Agent Influence Diagrams to Hybrid Threat Modeling
- Test-Time Meta-Adaptation with Self-Synthesis
- MMAI Gym for Science: Training Liquid Foundation Models for Drug Discovery
- Baseline Performance of AI Tools in Classifying Cognitive Demand of Mathematical Tasks
- Orbital Transformers for Predicting Wavefunctions in Time-Dependent Density Functional Theory
- A theoretical model of dynamical grammatical gender shifting based on set-valued set function
- Raising Bars, Not Parameters: LilMoo Compact Language Model for Hindi
- Solving adversarial examples requires solving exponential misalignment
- PhyPrompt: RL-based Prompt Refinement for Physically Plausible Text-to-Video Generation
- Geographically-Weighted Weakly Supervised Bayesian High-Resolution Transformer for 200m Resolution Pan-Arctic Sea Ice Concentration Mapping and Uncertainty Estimation using Sentinel-1, RCM, and AMSR2 Data
- Quantifying Ranking Instability Across Evaluation Protocol Axes in Gene Regulatory Network Benchmarking
- When Small Variations Become Big Failures: Reliability Challenges in Compute-in-Memory Neural Accelerators
- Optimal trajectory-guided stochastic co-optimization for e-fuel system design and real-time operation
- Graph Hopfield Networks: Energy-Based Node Classification with Associative Memory
- Half the Nonlinearity Is Wasted: Measuring and Reallocating the Transformer's MLP Budget
- Impact of Localization Errors on Label Quality for Online HD Map Construction
- Proact-VL: A Proactive VideoLLM for Real-Time AI Companions
- Beyond Accuracy: Evaluating Visual Grounding In Multimodal Medical Reasoning
- Farther the Shift, Sparser the Representation: Analyzing OOD Mechanisms in LLMs
- PRIVATEEDIT: A Privacy-Preserving Pipeline for Face-Centric Generative Image Editing
- Scalable Contrastive Causal Discovery under Unknown Soft Interventions
- A Short Note on a Variant of the Squint Algorithm
- Surprisal-R'enyi Free Energy
- Heterogeneous Time Constants Improve Stability in Equilibrium Propagation
- Beyond Cross-Validation: Adaptive Parameter Selection for Kernel-Based Gradient Descents
- Zero-Knowledge Federated Learning with Lattice-Based Hybrid Encryption for Quantum-Resilient Medical AI
- Multi-Agent-Based Simulation of Archaeological Mobility in Uneven Landscapes
- Towards Improved Sentence Representations using Token Graphs
- RADAR: Learning to Route with Asymmetry-aware DistAnce Representations
- Learning Order Forest for Qualitative-Attribute Data Clustering
- AOI: Turning Failed Trajectories into Training Signals for Autonomous Cloud Diagnosis
- Utonia: Toward One Encoder for All Point Clouds
- MIBURI: Towards Expressive Interactive Gesture Synthesis
- ULTRA: Unified Multimodal Control for Autonomous Humanoid Whole-Body Loco-Manipulation
- Tether: Autonomous Functional Play with Correspondence-Driven Trajectory Warping
- Learning Demographic-Conditioned Mobility Trajectories with Aggregate Supervision
- Gravity Falls: A Comparative Analysis of Domain-Generation Algorithm (DGA) Detection Methods for Mobile Device Spearphishing
- LoGeR: Long-Context Geometric Reconstruction with Hybrid Memory
- DuoMo: Dual Motion Diffusion for World-Space Human Reconstruction
- Physics-informed post-processing of stabilized finite element solutions for transient convection-dominated problems
- Valet: A Standardized Testbed of Traditional Imperfect-Information Card Games
- Using Learning Progressions to Guide AI Feedback for Science Learning
- UniG2U-Bench: Do Unified Models Advance Multimodal Understanding?
- On Geometry Regularization in Autoencoder Reduced-Order Models with Latent Neural ODE Dynamics
- The elbow statistic: Multiscale clustering statistical significance
- Guiding Sparse Neural Networks with Neurobiological Principles to Elicit Biologically Plausible Representations
- SynthCharge: An Electric Vehicle Routing Instance Generator with Feasibility Screening to Enable Learning-Based Optimization and Benchmarking
- Inverse Reconstruction of Shock Time Series from Shock Response Spectrum Curves using Machine Learning
- Coalgebras for categorical deep learning: Representability and universal approximation
- Adaptive Methods Are Preferable in High Privacy Settings: An SDE Perspective
- Stabilized Adaptive Loss and Residual-Based Collocation for Physics-Informed Neural Networks
- NeuroSkill(tm): Proactive Real-Time Agentic System Capable of Modeling Human State of Mind
- Shape Derivative-Informed Neural Operators with Application to Risk-Averse Shape Optimization
- I-CAM-UV: Integrating Causal Graphs over Non-Identical Variable Sets Using Causal Additive Models with Unobserved Variables
- Understanding and Mitigating Dataset Corruption in LLM Steering
- No Memorization, No Detection: Output Distribution-Based Contamination Detection in Small Language Models
- ACE-Brain-0: Spatial Intelligence as a Shared Scaffold for Universal Embodiments
- Infinite dimensional generative sensing
- A Covering Framework for Offline POMDPs Learning using Belief Space Metric
- Expectation and Acoustic Neural Network Representations Enhance Music Identification from Brain Activity
- Scalable Posterior Uncertainty for Flexible Density-Based Clustering
- ProSMA-UNet: Decoder Conditioning for Proximal-Sparse Skip Feature Selection
- Neuro-Symbolic Artificial Intelligence: A Task-Directed Survey in the Black-Box Models Era
- Kling-MotionControl Technical Report
- An Investigation Into Various Approaches For Bengali Long-Form Speech Transcription and Bengali Speaker Diarization
- Channel-Adaptive Edge AI: Maximizing Inference Throughput by Adapting Computational Complexity to Channel States
- How to Model AI Agents as Personas?: Applying the Persona Ecosystem Playground to 41,300 Posts on Moltbook for Behavioral Insights
- Torus embeddings
- UniSkill: A Dataset for Matching University Curricula to Professional Competencies
- Joint Training Across Multiple Activation Sparsity Regimes
- From Complex Dynamics to DynFormer: Rethinking Transformers for PDEs
- Evaluating Performance Drift from Model Switching in Multi-Turn LLM Systems
- Multi-Scale Adaptive Neighborhood Awareness Transformer For Graph Fraud Detection
- Why Adam Can Beat SGD: Second-Moment Normalization Yields Sharper Tails
- Odin: Multi-Signal Graph Intelligence for Autonomous Discovery in Knowledge Graphs
- Interpreting Speaker Characteristics in the Dimensions of Self-Supervised Speech Features
- Compact Prompting in Instruction-tuned LLMs for Joint Argumentative Component Detection
- Proactive Guiding Strategy for Item-side Fairness in Interactive Recommendation
- On the Expressive Power of Transformers for Maxout Networks and Continuous Piecewise Linear Functions
- Safe and Robust Domains of Attraction for Discrete-Time Systems: A Set-Based Characterization and Certifiable Neural Network Estimation
- TinyIceNet: Low-Power SAR Sea Ice Segmentation for On-Board FPGA Inference
- Design Generative AI for Practitioners: Exploring Interaction Approaches Aligned with Creative Practice
- From Reachability to Learnability: Geometric Design Principles for Quantum Neural Networks
- Incremental Graph Construction Enables Robust Spectral Clustering of Texts
- TrustMH-Bench: A Comprehensive Benchmark for Evaluating the Trustworthiness of Large Language Models in Mental Health
- QFlowNet: Fast, Diverse, and Efficient Unitary Synthesis with Generative Flow Networks
- IoUCert: Robustness Verification for Anchor-based Object Detectors
- cPNN: Continuous Progressive Neural Networks for Evolving Streaming Time Series
- Generalized Bayes for Causal Inference
- BRIGHT: A Collaborative Generalist-Specialist Foundation Model for Breast Pathology
- Any Resolution Any Geometry: From Multi-View To Multi-Patch
- MA-CoNav: A Master-Slave Multi-Agent Framework with Hierarchical Collaboration and Dual-Level Reflection for Long-Horizon Embodied VLN
- SEHFS: Structural Entropy-Guided High-Order Correlation Learning for Multi-View Multi-Label Feature Selection
- Breaking the Prototype Bias Loop: Confidence-Aware Federated Contrastive Learning for Highly Imbalanced Clients
- VIRGi: View-dependent Instant Recoloring of 3D Gaussians Splats
- The Dresden Dataset for 4D Reconstruction of Non-Rigid Abdominal Surgical Scenes
- Variance reduction in lattice QCD observables via normalizing flows
- Spatial Autoregressive Modeling of DINOv3 Embeddings for Unsupervised Anomaly Detection
- On the Topology of Neural Network Superlevel Sets
- LAGO: A Local-Global Optimization Framework Combining Trust Region Methods and Bayesian Optimization
- Integrating Homomorphic Encryption and Synthetic Data in FL for Privacy and Learning Quality
- Improving Anomaly Detection with Foundation-Model Synthesis and Wavelet-Domain Attention
- Delegation and Verification Under AI
- Layer-wise QUBO-Based Training of CNN Classifiers for Quantum Annealing
- Leveraging Label Proportion Prior for Class-Imbalanced Semi-Supervised Learning
- CGL: Advancing Continual GUI Learning via Reinforcement Fine-Tuning
- Path Dependence under Adaptive AI Delegation
- SEALing the Gap: A Reference Framework for LLM Inference Carbon Estimation via Multi-Benchmark Driven Embodiment
- Enhancing Physics-Informed Neural Networks with Domain-aware Fourier Features: Towards Improved Performance and Interpretable Results
- ACE-Merging: Data-Free Model Merging with Adaptive Covariance Estimation
- Beyond One-Size-Fits-All: Adaptive Subgraph Denoising for Zero-Shot Graph Learning with Large Language Models
- Bias and Fairness in Self-Supervised Acoustic Representations for Cognitive Impairment Detection
- GloPath: An Entity-Centric Foundation Model for Glomerular Lesion Assessment and Clinicopathological Insights
- HDINO: A Concise and Efficient Open-Vocabulary Detector
- Eliciting Numerical Predictive Distributions of LLMs Without Autoregression
- Articulation in Motion: Prior-free Part Mobility Analysis for Articulated Objects By Dynamic-Static Disentanglement
- Harmonic Beltrami Signature Network: a Shape Prior Module in Deep Learning Framework
- Towards Accurate and Interpretable Time-series Forecasting: A Polynomial Learning Approach
- Distributed Dynamic Invariant Causal Prediction in Environmental Time Series
- Embedding interpretable ℓ1-regression into neural networks for uncovering temporal structure in cell imaging
- ProGIC: Progressive and Lightweight Generative Image Compression with Residual Vector Quantization
- 3D-DRES: Detailed 3D Referring Expression Segmentation
- Generalized non-exponential Gaussian splatting
- StegaFFD: Privacy-Preserving Face Forgery Detection via Fine-Grained Steganographic Domain Lifting
- Eval4Sim: An Evaluation Framework for Persona Simulation
- Retrievit: In-context Retrieval Capabilities of Transformers, State Space Models, and Hybrid Architectures
- .tmu: A Low-Entropy Tree-Structured Representation for LLM-Assisted Scientific Writing
- Multimodal-Prior-Guided Importance Sampling for Hierarchical Gaussian Splatting in Sparse-View Novel View Synthesis
- The Distribution of Phoneme Frequencies across the World's Languages: Macroscopic and Microscopic Information-Theoretic Models
- CoFL: Continuous Flow Fields for Language-Conditioned Navigation
- Learning Memory-Enhanced Improvement Heuristics for Flexible Job Shop Scheduling
- SPARC: Spatial-Aware Path Planning via Attentive Agent Communication
- Scale-invariant Gaussian derivative residual networks
- A Browser-based Open Source Assistant for Multimodal Content Verification
- Adapting Time Series Foundation Models through Data Mixtures
- Faster, Cheaper, More Accurate: Specialised Knowledge Tracing Models Outperform LLMs
- BrandFusion: A Multi-Agent Framework for Seamless Brand Integration in Text-to-Video Generation
- ChemFlow:A Hierarchical Neural Network for Multiscale Representation Learning in Chemical Mixtures
- Lattice-based Deep Neural Networks: Regularity and Tailored Regularization
- The Price of Robustness: Stable Classifiers Need Overparameterization
- ScribeTokens: Fixed-Vocabulary Tokenization of Digital Ink
- NOVA: Sparse Control, Dense Synthesis for Pair-Free Video Editing
- R3GW: Relightable 3D Gaussians for Outdoor Scenes in the Wild
- An Interpretable, Controllable Time-Varying IIR Denoiser for On-Device Assistive Hearing
- From Heuristic Selection to Automated Algorithm Design: LLMs Benefit from Strong Priors
- Designing UNICORN: a Unified Benchmark for Imaging in Computational Pathology, Radiology, and Natural Language
- HiLoRA: Hierarchical Low-Rank Adaptation for Personalized Federated Learning
- Scores Know Bobs Voice: Speaker Impersonation Attack
- From Solver to Tutor: Evaluating the Pedagogical Intelligence of LLMs with KMP-Bench
- ITO: Multi-View Alignment and Training-Time Fusion for Image-Text Pretraining
- Rethinking Time Series Domain Generalization via Structure-Stratified Calibration
- Deep learning-guided evolutionary optimization for protein design
- iGVLM: Dynamic Instruction-Guided Vision Encoding for Question-Aware Multimodal Understanding
- Enhancing User Throughput in Multi-panel mmWave Radio Access Networks for Beam-based MU-MIMO Using a DRL Method
- The power of small initialization in noisy low-tubal-rank tensor recovery
- Gated Differential Linear Attention: A Linear-Time Decoder for High-Fidelity Medical Segmentation
- Cross-view geo-localization, Image retrieval, Multiscale geometric modeling, Frequency domain enhancement
- Single Microphone Own Voice Detection based on Simulated Transfer Functions for Hearing Aids
- Tensor Decomposition Structure Search Framework from an Interaction Perspective
- An Empirical Analysis of Calibration and Selective Prediction in Multimodal Clinical Condition Classification
- Sensory-Aware Sequential Recommendation via Review-Distilled Representations
- Intelligent Pathological Diagnosis of Gestational Trophoblastic Diseases via Visual-Language Deep Learning Model
- FinTexTS: Financial Text-Paired Time-Series Dataset via Semantic-Based and Multi-Level Pairing
- Neural quantum support vector data description for one-class classification
- Addressing Missing and Noisy Modalities in One Solution: Unified Modality-Quality Framework for Low-quality Multimodal Data
- FiDeSR: High-Fidelity and Detail-Preserving One-Step Diffusion Super-Resolution
- HateMirage: An Explainable Multi-Dimensional Dataset for Decoding Faux Hate and Subtle Online Abuse
- LLMs for High-Frequency Decision-Making: Normalized Action Reward-Guided Consistency Policy Optimization
- Causal Discovery Should Embrace the Wisdom of the Crowd
- Exact Functional ANOVA Decomposition for Categorical Inputs Models
- SorryDB: Can AI Provers Complete Real-World Lean Theorems?
- Unifying Contrastive and Generative Objectives for Visual Understanding and Text-to-Image Generation
- OmniFashion: Towards Generalist Fashion Intelligence via Multi-Task Vision-Language Learning
- AlphaFree: Recommendation Free from Users, IDs, and GNNs
- HomeAdam: Adam and AdamW Algorithms Sometimes Go Home to Obtain Better Provable Generalization
- SEP-YOLO: Fourier-Domain Feature Representation for Transparent Object Instance Segmentation
- Credibility Governance: A Social Mechanism for Collective Self-Correction under Weak Truth Signals
- Convex and Non-convex Federated Learning with Stale Stochastic Gradients: Diminishing Step Size is All You Need
- The Vienna 4G/5G Drive-Test Dataset
- Towards an Incremental Unified Multimodal Anomaly Detection: Augmenting Multimodal Denoising From an Information Bottleneck Perspective
- Post Hoc Extraction of Pareto Fronts for Continuous Control
- Implicit Bias in Deep Linear Discriminant Analysis
- Same Error, Different Function: The Optimizer as an Implicit Prior in Financial Time Series
- Mind the Way You Select Negative Texts: Pursuing the Distance Consistency in OOD Detection with VLMs
- Detecting Structural Heart Disease from Electrocardiograms via a Generalized Additive Model of Interpretable Foundation-Model Predictors
- VLMFusionOcc3D: VLM Assisted Multi-Modal 3D Semantic Occupancy Prediction
- Combinatorial Sparse PCA Beyond the Spiked Identity Model
- Synthetic-Child: An AIGC-Based Synthetic Data Pipeline for Privacy-Preserving Child Posture Estimation
- GPUTOK: GPU Accelerated Byte Level BPE Tokenization
- Low-Degree Method Fails to Predict Robust Subspace Recovery
- Maximizing Generalization: The Effect of Different Augmentation Techniques on Lightweight Vision Transformer for Bengali Character Classification
- Neural Electromagnetic Fields for High-Resolution Material Parameter Reconstruction
- ATD: Improved Transformer with Adaptive Token Dictionary for Image Restoration
- Joint Optimization of Model Partitioning and Resource Allocation for Anti-Jamming Collaborative Inference Systems
- How Controllable Are Large Language Models? A Unified Evaluation across Behavioral Granularities
- Track4World: Feedforward World-centric Dense 3D Tracking of All Pixels
- FlashEvaluator: Expanding Search Space with Parallel Sequence-Level Evaluation
- EdgeFLow: Serverless Federated Learning via Sequential Model Migration in Edge Networks
- SOLAR: SVD-Optimized Lifelong Attention for Recommendation
- Give me scissors: Collision-Free Dual-Arm Surgical Assistive Robot for Instrument Delivery
- SemGS: Feed-Forward Semantic 3D Gaussian Splatting from Sparse Views for Generalizable Scene Understanding
- ForestPersons: A Large-Scale Dataset for Under-Canopy Missing Person Detection
- A Neuropsychologically Grounded Evaluation of LLM Cognitive Abilities
- Functional Properties of the Focal-Entropy
- EIMC: Efficient Instance-aware Multi-modal Collaborative Perception
- Thermodynamic Regulation of Finite-Time Gibbs Training in Energy-Based Models: A Restricted Boltzmann Machine Study
- NeighborMAE: Exploiting Spatial Dependencies between Neighboring Earth Observation Images in Masked Autoencoders Pretraining
- Beyond Anatomy: Explainable ASD Classification from rs-fMRI via Functional Parcellation and Graph Attention Networks
- Human-Certified Module Repositories for the AI Age
- SGMA: Semantic-Guided Modality-Aware Segmentation for Remote Sensing with Incomplete Multimodal Data
- Biomechanically Accurate Gait Analysis: A 3d Human Reconstruction Framework for Markerless Estimation of Gait Parameters
- WTHaar-Net: a Hybrid Quantum-Classical Approach
- Revealing Positive and Negative Role Models to Help People Make Good Decisions
- Learning-Augmented Moment Estimation on Time-Decay Models
- Geometric structures and deviations on James' symmetric positive-definite matrix bicone domain
- ModalPatch: A Plug-and-Play Module for Robust Multi-Modal 3D Object Detection under Modality Drop
- Optimizing Orbital Parameters of Satellites for a Global Quantum Network
- E2E-GNet: An End-to-End Skeleton-based Geometric Deep Neural Network for Human Motion Recognition