Papers
Thu 29 May 2025
608 papers
- A Survey of Generative Categories and Techniques in Multimodal Generative ModelsMixture-of-experts → Multimodal MoE models
- Composite Reward Design in PPO-Driven Adaptive FilteringDeep reinforcement learning methods → RL theory and sample complexity
- Contextual Integrity in LLMs via Reasoning and Reinforcement LearningLLM reasoning → Reasoning for agents, planning and code
- Zero-Shot Adaptation of Parameter-Efficient Fine-Tuning in Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- Vid-SME: Membership Inference Attacks against Large Video Understanding ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- FOLIAGE: Towards Physical Intelligence World Models Via Unbounded Surface EvolutionWorld models → Latent predictive world models
- Evaluating the Efficacy of LLM-Based Reasoning for Multiobjective HPC Job SchedulingLLM reasoning → Test-time compute and efficient thinking
- The Automated but Risky Game: Modeling and Benchmarking Agent-to-Agent Negotiations and Transactions in Consumer MarketsLLM agents and tool use → Social simulation and multi-agent debate
- Robot-R1: Reinforcement Learning for Enhanced Embodied Reasoning in RoboticsLLM reasoning → Spatial and embodied reasoning +1
- Literature Review Of Multi-Agent Debate For Problem-SolvingLLM agents and tool use → General LLM agent frameworks and benchmarks
- SafeCOMM: A Study on Safety Degradation in Fine-Tuned Telecom Large Language ModelsLLM safety and security → Safety alignment, refusal and guardrails
- mRAG: Elucidating the Design Space of Multi-modal Retrieval-Augmented GenerationMultimodal LLMs / vision-language models → Document understanding and multimodal RAG +1
- Can LLMs Reason Structurally? Benchmarking via the Lens of Data StructuresLLM reasoning → Reasoning benchmarks and evaluation
- Measure gradients, not activations! Enhancing neuronal activity in deep reinforcement learningDeep reinforcement learning methods → Deep RL algorithms and representations
- DINO-R1: Incentivizing Reasoning Capability in Vision Foundation ModelsLLM reasoning → Multimodal reasoning
- LLM Agents Should Employ Security PrinciplesLLM agents and tool use → Agent threats, guardrails and governance +1
- Preemptive Hallucination Reduction: An Input-Level Approach for Multimodal Language ModelMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- Multi-RAG: A Multimodal Retrieval-Augmented Generation System for Adaptive Video UnderstandingRetrieval-augmented generation → Multimodal RAG
- MSQA: Benchmarking LLMs on Graduate-Level Materials Science Reasoning and KnowledgeLLM reasoning → Clinical and biomedical applications
- VisualSphinx: Large-Scale Synthetic Vision Logic Puzzles for RLLLM reasoning → Multimodal reasoning +1
- Cache Your Prompt When It's Green: Carbon-Aware Caching for Large Language Model ServingEfficient LLM inference and serving → KV cache optimization
- FLAT-LLM: Fine-grained Low-rank Activation Space Transformation for Large Language Model CompressionEfficient LLM inference and serving → Early exit and edge inference
- InterMT: Multi-Turn Interleaved Preference Alignment with Human FeedbackLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Lessons Learned: A Multi-Agent Framework for Code LLMs to Learn and ImproveLLM agents and tool use → Software engineering coding agents
- A Closer Look at Bias and Chain-of-Thought Faithfulness of Large (Vision) Language ModelsLLM reasoning → Multimodal reasoning
- Retrieval Augmented Generation based Large Language Models for Causality MiningRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- Vision Language Models are BiasedMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Scaling up the think-aloud methodLLM reasoning → Reasoning benchmarks and evaluation
- Thompson Sampling in Online RLHF with General Function ApproximationLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Point-MoE: Large-Scale Multi-Dataset Training with Mixture-of-Experts for 3D Semantic SegmentationMixture-of-experts → Vision mixture-of-experts
- Act-Adaptive Margin: Dynamically Calibrating Reward Models for Subjective AmbiguityLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Generating Fit Check Videos with a Handheld CameraDiffusion models → Video generation
- OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task AutomationLLM reasoning → Reasoning for agents, planning and code +1
- Test-Time Training Done RightDiffusion models → Video generation
- Using Reasoning Models to Generate Search Heuristics that Solve Open Instances of Combinatorial Design ProblemsLLM reasoning → Mathematical reasoning
- KGMark: A Diffusion Watermark for Knowledge GraphsLLM safety and security → Watermarking generated content and models
- ADG: Ambient Diffusion-Guided Dataset Recovery for Corruption-Robust Offline Reinforcement LearningDiffusion models → Diffusion and flow policies for robotics +1
- Noise-Robustness Through Noise: A Framework combining Asymmetric LoRA with Poisoning MoEMixture-of-experts → Mixture of LoRA experts
- InfiMed: Low-Resource Medical MLLMs with Advancing Understanding and ReasoningLLM reasoning → Clinical and biomedical applications +1
- A Convolution and Attention Based Encoder for Reinforcement Learning under Partial ObservabilityDeep reinforcement learning methods → Deep RL algorithms and representations
- OMNIGUARD: An Efficient Approach for AI Safety Moderation Across Languages and ModalitiesLLM safety and security → Safety alignment, refusal and guardrails
- Revisiting Uncertainty Estimation and Calibration of Large Language ModelsMixture-of-experts → MoE large language models
- Large Language Model-Based Agents for Automated Research Reproducibility: An Exploratory Study in Alzheimer's DiseaseLLM agents and tool use → Medical and scientific domain agents
- Argus: Vision-Centric Reasoning with Grounded Chain-of-ThoughtLLM reasoning → Multimodal reasoning +1
- MMSI-Bench: A Benchmark for Multi-Image Spatial IntelligenceLLM reasoning → Spatial and embodied reasoning +1
- ZeroGUI: Automating Online GUI Learning at Zero Human CostMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- Differential Information Distribution: A Bayesian Perspective on Direct Preference OptimizationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Puzzled by Puzzles: When Vision-Language Models Can't Take a HintMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow TransformersDiffusion models → Image generation, text-to-image and editing
- Impromptu VLA: Open Weights and Open Data for Driving Vision-Language-Action ModelsVision-language-action models → VLA for autonomous driving +1
- DeepTheorem: Advancing LLM Reasoning for Theorem Proving Through Natural Language and Reinforcement LearningLLM reasoning → Mathematical reasoning
- ThinkGeo: Evaluating Tool-Augmented Agents for Remote Sensing TasksLLM reasoning → Spatial and embodied reasoning +1
- Distortion of AI Alignment: Does Preference Optimization Optimize for Preferences?LLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Spatial-MLLM: Boosting MLLM Capabilities in Visual-based Spatial IntelligenceMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- To Trust Or Not To Trust Your Vision-Language Model's PredictionMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISPDiffusion models → Inverse problems and image restoration
- Bounded Rationality for LLMs: Satisficing Alignment at Inference-TimeLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- PixelThink: Towards Efficient Chain-of-Pixel ReasoningLLM reasoning → Multimodal reasoning +1
- ML-Agent: Reinforcing LLM Agents for Autonomous Machine Learning EngineeringLLM agents and tool use → Reinforcement learning for LLM agents
- LLMs are Better Than You Think: Label-Guided In-Context Learning for Named Entity RecognitionLLM reasoning → Multimodal reasoning
- DiffER: Categorical Diffusion for Chemical RetrosynthesisDiffusion models → Flow matching, time series and science
- Don't Take the Premise for Granted: Evaluating the Premise Critique Ability of Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
- SocialMaze: A Benchmark for Evaluating and Enhancing Social Reasoning in Large Language Models in Complex Social EnvironmentsLLM reasoning → Reasoning benchmarks and evaluation
- AMOR: Adaptive Character Control through Multi-Objective Reinforcement LearningDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Knowledge Insulating Vision-Language-Action Models: Train Fast, Run Fast, Generalize BetterMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- Let's Reason Formally: Natural-Formal Hybrid Reasoning Enhances LLM's Math CapabilityLLM reasoning → Mathematical reasoning
- Can LLMs Reason Abstractly Over Math Word Problems Without CoT? Disentangling Abstract Formulation From Arithmetic ComputationLLM reasoning → Mathematical reasoning
- Data-to-Dashboard: Multi-Agent LLM Framework for Insightful Visualization in Enterprise AnalyticsLLM agents and tool use → Web, search, and research agents
- VF-Eval: Evaluating Multimodal LLMs for Generating Feedback on AIGC VideosMultimodal LLMs / vision-language models → Video understanding with MLLMs +1
- Grounded Reinforcement Learning for Visual ReasoningLLM reasoning → Multimodal reasoning
- ImmunoDiff: A Diffusion Model for Immunotherapy Response Prediction in Lung CancerDiffusion models → Medical imaging and segmentation
- Bayesian Optimization from Human Feedback: Near-Optimal Regret BoundsLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- GSO: Challenging Software Optimization Tasks for Evaluating SWE-AgentsLLM agents and tool use → Software engineering coding agents
- Formula-R1: Incentivizing LLM Reasoning over Complex Tables with Numerical Computation via Formula-Driven Reinforcement LearningLLM reasoning → Knowledge- and tool-augmented reasoning
- ToolHaystack: Stress-Testing Tool-Augmented Language Models in Realistic Long-Term InteractionsLLM agents and tool use → Tool learning and function calling
- Bayesian Perspective on Memorization and ReconstructionLLM safety and security → Membership inference attacks
- VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation ModelsDiffusion models → Video generation
- How do Transformers Learn Implicit Reasoning?LLM reasoning → Reasoning benchmarks and evaluation
- Optimization-Free Diffusion Model -- A Perturbation Theory ApproachDiffusion models → Diffusion foundations and sampling
- Continuous Chain of Thought Enables Parallel Exploration and ReasoningLLM reasoning → Prompting and chain-of-thought reasoning
- Are Reasoning Models More Prone to Hallucination?LLM reasoning → Hallucination detection and mitigation
- MCP Safety Training: Learning to Refuse Falsely Benign MCP Exploits using Improved Preference AlignmentLLM agents and tool use → Agent threats, guardrails and governance +2
- ZeroSep: Separate Anything in Audio with Zero TrainingDiffusion models → Audio, speech and music
- Table-R1: Inference-Time Scaling for Table ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning
- Inference-time Scaling of Diffusion Models through Classical SearchLLM reasoning → Diffusion reasoning and test-time scaling +1
- Muddit: Liberating Generation Beyond Text-to-Image with a Unified Discrete Diffusion ModelDiffusion models → Image generation, text-to-image and editing
- Satori-SWE: Evolutionary Test-Time Scaling for Sample-Efficient Software EngineeringLLM reasoning → Reasoning for agents, planning and code
- EndoBench: A Comprehensive Evaluation of Multi-Modal Large Language Models for Endoscopy AnalysisMultimodal LLMs / vision-language models → Medical vision-language models
- Agent-SAMA: State-Aware Mobile AssistantLLM agents and tool use → GUI and mobile agents
- Jigsaw-R1: A Study of Rule-based Visual Reinforcement Learning with Jigsaw PuzzlesMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- On-Policy RL with Optimal Reward BaselineLLM reasoning → Reinforcement learning for reasoning +1
- BioReason: Incentivizing Multimodal Biological Reasoning within a DNA-LLM ModelLLM reasoning → Clinical and biomedical applications
- Cognitive Guardrails for Open-World Decision Making in Autonomous Drone SwarmsLLM safety and security → Prompt injection and agent security
- CoT Red-Handed: Stress Testing Chain-of-Thought MonitoringLLM reasoning → Prompting and chain-of-thought reasoning
- Evaluating AI capabilities in detecting conspiracy theories on YouTubeLLM safety and security → Safety alignment, refusal and guardrails
- Uni-MuMER: Unified Multi-Task Fine-Tuning of Vision-Language Model for Handwritten Mathematical Expression RecognitionMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Segment Policy Optimization: Effective Segment-Level Credit Assignment in RL for Large Language ModelsLLM reasoning → Reinforcement learning for reasoning
- Merge Hijacking: Backdoor Attacks to Model Merging of Large Language ModelsLLM safety and security → Backdoor and data poisoning attacks
- SafeScientist: Toward Risk-Aware Scientific Discoveries by LLM AgentsLLM agents and tool use → Agent threats, guardrails and governance
- Qwen Look Again: Guiding Vision-Language Reasoning Models to Re-attention Visual InformationLLM reasoning → Multimodal reasoning +1
All 608
- Learning Parametric Distributions from Samples and PreferencesLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Understanding Refusal in Language Models with Sparse AutoencodersLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- Probability-Consistent Preference Optimization for Enhanced LLM ReasoningLLM reasoning → Mathematical reasoning +1
- Normalizing Flows are Capable Models for Continuous ControlDeep reinforcement learning methods → RL with diffusion and flow models
- TRAP: Targeted Redirecting of Agentic PreferencesLLM reasoning → Multimodal reasoning +2
- Diagnosing and Addressing Pitfalls in KG-RAG Datasets: Toward More Reliable BenchmarkingLLM reasoning → Knowledge- and tool-augmented reasoning
- Revisiting Overthinking in Long Chain-of-Thought from the Perspective of Self-DoubtLLM reasoning → Test-time compute and efficient thinking
- Socratic-PRMBench: Benchmarking Process Reward Models with Systematic Reasoning PatternsLLM reasoning → Reinforcement learning for reasoning +2
- EVOREFUSE: Evolutionary Prompt Optimization for Evaluation and Mitigation of LLM Over-Refusal to Pseudo-Malicious InstructionsLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- LAFR: Efficient Diffusion-based Blind Face Restoration via Latent Codebook Alignment AdapterDiffusion models → Inverse problems and image restoration
- On Global Convergence Rates for Federated Softmax Policy Gradient under Heterogeneous EnvironmentsDeep reinforcement learning methods → RL for energy, networks and operations
- Diffusion Guidance Is a Controllable Policy Improvement OperatorOffline RL and imitation learning from data → Diffusion and flow policies for offline RL +1
- Agentic Robot: A Brain-Inspired Framework for Vision-Language-Action Models in Embodied AgentsVision-language-action models → Reasoning and chain-of-thought in VLA +1
- CMIE: Combining MLLM Insights with External Evidence for Explainable Out-of-Context Misinformation DetectionLLM reasoning → Multimodal reasoning +1
- CryoCCD: Conditional Cycle-consistent Diffusion with Biophysical Modeling for Cryo-EM SynthesisDiffusion models → Flow matching, time series and science
- Emergent Risk Awareness in Rational Agents under Resource ConstraintsLLM reasoning → Reasoning for agents, planning and code +1
- Diversity-Aware Policy Optimization for Large Language Model ReasoningLLM reasoning → Reinforcement learning for reasoning
- Enhanced DACER Algorithm with High Diffusion EfficiencyDiffusion models → Diffusion and flow policies for robotics +1
- From Knowledge to Noise: CTIM-Rover and the Pitfalls of Episodic Memory in Software Engineering AgentsLLM agents and tool use → Software engineering coding agents
- KVzip: Query-Agnostic KV Cache Compression with Context ReconstructionEfficient LLM inference and serving → KV cache optimization
- AJF: Adaptive Jailbreak Framework Based on the Comprehension Ability of Black-Box Large Language ModelsLLM safety and security → Jailbreaking
- GAM-Agent: Game-Theoretic and Uncertainty-Aware Collaboration for Complex Visual ReasoningLLM reasoning → Multimodal reasoning +1
- Afterburner: Reinforcement Learning Facilitates Self-Improving Code Efficiency OptimizationLLM alignment / RLHF / preference optimisation → Process reward models for reasoning +2
- AutoGPS: Automated Geometry Problem Solving via Multimodal Formalization and Deductive ReasoningLLM reasoning → Spatial and embodied reasoning
- UniRL: Self-Improving Unified Multimodal Models via Supervised and Reinforcement LearningMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
- Threading the Needle: Reweaving Chain-of-Thought Reasoning to Explain Human Label VariationLLM reasoning → Prompting and chain-of-thought reasoning
- Discriminative Policy Optimization for Token-Level Reward ModelsLLM reasoning → Reinforcement learning for reasoning +1
- VideoReasonBench: Can MLLMs Perform Vision-Centric Complex Video Reasoning?LLM reasoning → Multimodal reasoning
- Beam-Guided Knowledge Replay for Knowledge-Rich Image Captioning using Vision-Language ModelMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Grower-in-the-Loop Interactive Reinforcement Learning for Greenhouse Climate ControlDeep reinforcement learning methods → RL for energy, networks and operations
- Understanding the Information Propagation Effects of Communication Topologies in LLM-based Multi-Agent SystemsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Towards Reward Fairness in RLHF: From a Resource Allocation PerspectiveLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Beyond Optimal Transport: Model-Aligned Coupling for Flow MatchingDiffusion models → Flow matching, time series and science
- Diffusion Sampling Path Tells More: An Efficient Plug-and-Play Strategy for Sample FilteringDiffusion models → Diffusion foundations and sampling
- Neither Stochastic Parroting nor AGI: LLMs Solve Tasks through Context-Directed Extrapolation from Training Data PriorsLLM reasoning → Test-time compute and efficient thinking
- Proximalized Preference Optimization for Diverse Feedback Types: A Decomposed Perspective on DPOLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- TRACE: Trajectory-Constrained Concept Erasure in Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects
- Score-based Generative Modeling for Conditional Independence TestingDiffusion models → Diffusion foundations and sampling
- MGE-LDM: Joint Latent Diffusion for Simultaneous Music Generation and Source ExtractionDiffusion models → Audio, speech and music
- Data-efficient Meta-models for Evaluation of Context-based Questions and Answers in LLMsRetrieval-augmented generation → Hallucination detection in RAG
- RSFAKE-1M: A Large-Scale Dataset for Detecting Diffusion-Generated Remote Sensing ForgeriesDiffusion models → Inverse problems and image restoration
- MathArena: Evaluating LLMs on Uncontaminated Math CompetitionsLLM reasoning → Mathematical reasoning
- Sentinel: Decoding Context Utilization via Attention Probing for Efficient LLM Context CompressionRetrieval-augmented generation → Generation and context integration +1
- Wireless Agentic AI with Retrieval-Augmented Multimodal Semantic PerceptionRetrieval-augmented generation → Agentic RAG, agents and memory
- LADA: Scalable Label-Specific CLIP Adapter for Continual LearningMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Does Machine Unlearning Truly Remove Knowledge?LLM safety and security → Machine unlearning
- VLM-RRT: Vision Language Model Guided RRT Search for Autonomous UAV NavigationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Disrupting Vision-Language Model-Driven Navigation Services via Adversarial Object FusionMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- SPR-128K: A New Benchmark for Spatial Plausibility Reasoning with Multimodal Large Language ModelsLLM reasoning → Spatial and embodied reasoning +1
- Efficiently Access Diffusion Fisher: Within the Outer Product Span SpaceDiffusion models → Diffusion foundations and sampling
- Accelerating RLHF Training with Reward Variance IncreaseLLM reasoning → Reinforcement learning for reasoning +1
- Equivalence of stochastic and deterministic policy gradientsDeep reinforcement learning methods → RL theory and sample complexity
- ChartMind: A Comprehensive Benchmark for Complex Real-world Multimodal Chart Question AnsweringLLM reasoning → Multimodal reasoning +1
- OSS-UAgent: An Agent-based Usability Evaluation Framework for Open Source SoftwareLLM agents and tool use → Software engineering coding agents
- MMBoundary: Advancing MLLM Knowledge Boundary Awareness through Reasoning Step Confidence CalibrationLLM reasoning → Multimodal reasoning +1
- Ghidorah: Fast LLM Inference on Edge with Speculative Decoding and Hetero-Core ParallelismEfficient LLM inference and serving → Speculative decoding
- SAMamba: Adaptive State Space Modeling with Hierarchical Vision for Infrared Small Target DetectionState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
- Cross-Task Experiential Learning on LLM-based Multi-Agent CollaborationLLM agents and tool use → General LLM agent frameworks and benchmarks
- HiGarment: Cross-modal Harmony Based Diffusion Model for Flat Sketch to Realistic Garment ImageDiffusion models → 3D, point cloud and scene generation
- Two Is Better Than One: Rotations Scale LoRAsMixture-of-experts → Mixture of LoRA experts
- Infinite-Instruct: Synthesizing Scaling Code instruction Data with Bidirectional Synthesis and Static VerificationSynthetic data and self-improvement for LLMs → Code and instruction data synthesis
- RoboTransfer: Controllable Geometry-Consistent Video Diffusion for Manipulation Policy TransferDiffusion models → Diffusion and flow policies for robotics
- FlowAlign: Trajectory-Regularized, Inversion-Free Flow-based Image EditingDiffusion models → Image generation, text-to-image and editing
- PhotoArtAgent: Intelligent Photo Retouching with Language Model-Based Artist AgentsLLM agents and tool use → Multimodal and embodied agents
- HMAD: Advancing E2E Driving with Anchored Offset Proposals and Simulation-Supervised Multi-target ScoringEnd-to-end autonomous driving → End-to-end system architecture
- PBEBench: A Multi-Step Programming by Examples Reasoning Benchmark inspired by Historical LinguisticsLLM reasoning → Reasoning benchmarks and evaluation
- ContextQFormer: A New Context Modeling Method for Multi-Turn Multi-Modal ConversationsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- TextSR: Diffusion Super-Resolution with Multilingual OCR GuidanceDiffusion models → Inverse problems and image restoration
- Elicit and Enhance: Advancing Multimodal Reasoning in Medical ScenariosLLM reasoning → Clinical and biomedical applications
- Diffusion-Based Generative Models for 3D Occupancy Prediction in Autonomous DrivingDiffusion models → Diffusion and flow policies for robotics
- Alignment Data Map for Efficient Preference Data Selection and DiagnosisLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Learning to Search for Vehicle Routing with Multiple Time WindowsDeep reinforcement learning methods → RL for games and combinatorial optimization
- Infi-MMR: Curriculum-based Unlocking Multimodal Reasoning via Phased Reinforcement Learning in Multimodal Small Language ModelsLLM reasoning → Multimodal reasoning
- GeoMan: Temporally Consistent Human Geometry Estimation using Image-to-Video DiffusionDiffusion models → 3D, point cloud and scene generation
- SNS-Bench-VL: Benchmarking Multimodal Large Language Models in Social Networking ServicesMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Composite Flow Matching for Reinforcement Learning with Shifted-Dynamics DataDiffusion models → Diffusion and flow policies for robotics +1
- From Token to Action: State Machine Reasoning to Mitigate Overthinking in Information RetrievalLLM reasoning → Knowledge- and tool-augmented reasoning
- CDR-Agent: Intelligent Selection and Execution of Clinical Decision Rules Using Large Language Model AgentsLLM agents and tool use → Medical and scientific domain agents
- RAGRouter: Learning to Route Queries to Multiple Retrieval-Augmented Language ModelsRetrieval-augmented generation → RAG pipeline design and evaluation
- ProDiff: Prototype-Guided Diffusion for Minimal Information Trajectory ImputationDiffusion models → Diffusion and flow policies for robotics
- Cross-Task Generalization Between Understanding and Generation in Unified Vision-Language Models: A Controlled StudyMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Case-Based Reasoning Enhances the Predictive Power of LLMs in Drug-Drug InteractionLLM reasoning → Clinical and biomedical applications
- An Empirical Study of Federated Prompt Learning for Vision Language ModelMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Scorpio: Serving Right Requests at the Right Time for Heterogeneous SLOs in LLM InferenceEfficient LLM inference and serving → Serving systems and request scheduling
- AgentAlign: Navigating Safety Alignment in the Shift from Informative to Agentic Large Language ModelsLLM agents and tool use → Agent threats, guardrails and governance +2
- Detecting Stealthy Backdoor Samples based on Intra-class Distance for Large Language ModelsLLM safety and security → Backdoor and data poisoning attacks
- Scalable Complexity Control Facilitates Reasoning Ability of LLMsLLM reasoning → Test-time compute and efficient thinking
- A Practical Approach for Building Production-Grade Conversational Agents with Workflow GraphsLLM agents and tool use → General LLM agent frameworks and benchmarks
- QLIP: A Dynamic Quadtree Vision Prior Enhances MLLM Performance Without RetrainingMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Hybrid Cross-domain Robust Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
- DyePack: Provably Flagging Test Set Contamination in LLMs Using BackdoorsLLM safety and security → Backdoor and data poisoning attacks
- LLM Agents for Bargaining with Utility-based FeedbackLLM agents and tool use → Social simulation and multi-agent debate +1
- Knowledge Distillation for Reservoir-based Classifier: Human Activity RecognitionKnowledge distillation → Distillation for medical imaging
- Free Lunch for User Experience: Crowdsourcing Agents for Scalable User StudiesLLM agents and tool use → Social simulation and multi-agent debate
- MOVi: Training-free Text-conditioned Multi-Object Video GenerationDiffusion models → Video generation
- Learning Recommender Mechanisms for Bayesian Stochastic GamesDeep reinforcement learning methods → RL for games and combinatorial optimization
- HyperMotionX: The Dataset and Benchmark with DiT-Based Pose-Guided Human Image Animation of Complex MotionsDiffusion models → Video generation
- LoopNav: Benchmarking Spatial Consistency in World ModelsWorld models → Video-generation world models and simulators
- Learning coordinated badminton skills for legged manipulatorsDeep reinforcement learning methods → RL for robot locomotion and manipulation
- EquiReg: Equivariance Regularized Diffusion for Inverse ProblemsDiffusion models → Inverse problems and image restoration
- MermaidFlow: Redefining Agentic Workflow Generation via Safety-Constrained Evolutionary ProgrammingLLM agents and tool use → Software engineering coding agents
- Revisiting Multi-Agent Debate as Test-Time Scaling: A Systematic Study of Conditional EffectivenessLLM reasoning → Reasoning for agents, planning and code +1
- LLM-based HSE Compliance Assessment: Benchmark, Performance, and AdvancementsLLM reasoning → Reasoning for agents, planning and code
- Darwin Godel Machine: Open-Ended Evolution of Self-Improving AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks +1
- StrucSum: Graph-Structured Reasoning for Long Document Extractive Summarization with LLMsLLM reasoning → Reasoning benchmarks and evaluation
- RISEE: A Highly Interactive Naturalistic Driving Trajectories Dataset with Human Subjective Risk Perception and Eye-tracking Information
- Psycholinguistic Word Features: a New Approach for the Evaluation of LLMs Alignment with Humans
- Decoding Cortical Microcircuits: A Generative Model for Latent Space Exploration and Controlled Synthesis
- Neural networks with image recognition by pairs
- DVD: A Comprehensive Dataset for Advancing Violence Detection in Real-World Scenarios
- TerraIncognita: A Dynamic Benchmark for Species Discovery Using Frontier Models
- Dc-EEMF: Pushing depth-of-field limit of photoacoustic microscopy via decision-level constrained learning
- Knowledge Graphs for Digitized Manuscripts in Jagiellonian Digital Library Application
- LLaMA-XR: A Novel Framework for Radiology Report Generation using LLaMA and QLoRA Fine Tuning
- Deep Learning-Based Breast Cancer Detection in Mammography: A Multi-Center Validation Study in Thai Population
- Non-collective Calibrating Strategy for Time Series Forecasting
- Super-temporal-resolution Photoacoustic Imaging with Dynamic Reconstruction through Implicit Neural Representation in Sparse-view
- Multimodal Foundation Model for Cross-Modal Retrieval and Activity Recognition Tasks
- The End Of Universal Lifelong Identifiers: Identity Systems For The AI Era
- Gaussian mixture models as a proxy for interacting language models
- Optimizing Storytelling, Improving Audience Retention, and Reducing Waste in the Entertainment Industry
- Reducing Latency in LLM-Based Natural Language Commands Processing for Robot Navigation
- Whose Name Comes Up? Auditing LLM-Based Scholar Recommendations
- Evaluating Prompt Engineering Techniques for Accuracy and Confidence Elicitation in Medical LLMs
- Human sensory-musculoskeletal modeling and control of whole-body movements
- Evaluating the Sensitivity of LLMs to Prior Context
- Framing Political Bias in Multilingual LLMs Across Pakistani Languages
- Using Perspectival Words Is Harder Than Vocabulary Words for Humans and Even More So for Multimodal Language Models
- Mis-prompt: Benchmarking Large Language Models for Proactive Error Handling
- Unraveling SITT: Social Influence Technique Taxonomy and Detection with LLMs
- Comparative analysis of privacy-preserving open-source LLMs regarding extraction of diagnostic information from clinical CMR imaging reports
- Prompt Engineer: Analyzing Hard and Soft Skill Requirements in the AI Job Market
- Hierarchical Bayesian Knowledge Tracing in Undergraduate Engineering Education
- Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy
- SIM: A mapping framework for built environment auditing based on street view imagery
- Primal-Dual Neural Algorithmic Reasoning
- Adaptive Resolution for Finite-Rank Gaussian Processes
- Cross-Modal Characterization of Thin Film MoS2 Using Generative Models
- TCM-Ladder: A Benchmark for Multimodal Question Answering on Traditional Chinese Medicine
- Exploring Domain Wall Pinning in Ferroelectrics via Automated High Throughput AFM
- Characterising the Inductive Biases of Neural Networks on Boolean Data
- Towards disentangling the contributions of articulation and acoustics in multimodal phoneme recognition
- Bridging Source and Target Domains via Link Prediction for Unsupervised Domain Adaptation on Graphs
- Differential Gated Self-Attention
- 3DGEER: 3D Gaussian Rendering Made Exact and Efficient for Generic Cameras
- NeuronTune: Towards Self-Guided Spurious Bias Mitigation
- MedPAIR: Measuring Physicians and AI Relevance Alignment in Medical Question Answering
- Conformal Object Detection by Sequential Risk Control
- Leave it to the Specialist: Repair Sparse LLMs with Sparse Fine-Tuning via Sparsity Evolution
- GenIC: An LLM-Based Framework for Instance Completion in Knowledge Graphs
- LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training
- Studying the Soupability of Documents in State Space Models
- Leveraging machine learning features for linear optical interferometer control
- From Images to Signals: Are Large Vision Models Useful for Time Series Analysis?
- Hidden Persuasion: Detecting Manipulative Narratives on Social Media During the 2022 Russian Invasion of Ukraine
- MaskAdapt: Unsupervised Geometry-Aware Domain Adaptation Using Multimodal Contextual Learning and RGB-Depth Masking
- Multi-Group Proportional Representation for Text-to-Image Models
- The Rich and the Simple: On the Implicit Bias of Adam and SGD
- BeaverTalk: Oregon State University's IWSLT 2025 Simultaneous Speech Translation System
- Large Language Model Meets Constraint Propagation
- Diversity of Transformer Layers: One Aspect of Parameter Scaling Laws
- A2 Copula-Driven Spatial Bayesian Neural Network For Modeling Non-Gaussian Dependence: A Simulation Study
- How far away are truly hyperparameter-free learning algorithms?
- Redefining Research Crowdsourcing: Incorporating Human Feedback with LLM-Powered Digital Twins
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