Papers
Thu 22 May 2025
635 papers
- ACCORD: Autoregressive Constraint-satisfying Generation for COmbinatorial Optimization with Routing and Dynamic attentionLLM reasoning → Mathematical reasoning
- Can ChatGPT Perform Image Splicing Detection? A Preliminary StudyMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- Arctic-Text2SQL-R1: Simple Rewards, Strong Reasoning in Text-to-SQLLLM reasoning → Knowledge- and tool-augmented reasoning
- Reasoning in Neurosymbolic AILLM reasoning → Reasoning benchmarks and evaluation
- Let's Get You Hired: A Job Seeker's Perspective on Multi-Agent Recruitment Systems for Explaining Hiring DecisionsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Manalyzer: End-to-end Automated Meta-analysis with Multi-agent SystemLLM agents and tool use → Web, search, and research agents
- Guiding Giants: Lightweight Controllers for Weighted Activation Steering in LLMsMechanistic interpretability → Steering and probing for LLM safety
- Towards medical AI misalignment: a preliminary studyLLM safety and security → Safety alignment, refusal and guardrails
- DEL-ToM: Inference-Time Scaling for Theory-of-Mind Reasoning via Dynamic Epistemic LogicLLM reasoning → Test-time compute and efficient thinking
- VoxRAG: A Step Toward Transcription-Free RAG Systems in Spoken Question AnsweringRetrieval-augmented generation → Conversational and speech RAG
- From Compression to Expression: A Layerwise Analysis of In-Context LearningOffline RL and imitation learning from data → Language-conditioned policies and VLAs
- Control of Renewable Energy Communities using AI and Real-World DataDeep reinforcement learning methods → RL for energy, networks and operations
- Analyzing Fine-Grained Alignment and Enhancing Vision Understanding in Multimodal Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Longer Context, Deeper Thinking: Uncovering the Role of Long-Context Ability in ReasoningLLM reasoning → Test-time compute and efficient thinking
- AdaReasoner: Adaptive Reasoning Enables More Flexible Thinking in Large Language ModelsLLM reasoning → Test-time compute and efficient thinking
- Search Wisely: Mitigating Sub-optimal Agentic Searches By Reducing UncertaintyLLM reasoning → Knowledge- and tool-augmented reasoning +2
- Zebra-Llama: Towards Extremely Efficient Hybrid ModelsEfficient LLM inference and serving → Serving systems and request scheduling
- GreekBarBench: A Challenging Benchmark for Free-Text Legal Reasoning and CitationsLLM reasoning → Reasoning for agents, planning and code
- Select2Reason: Efficient Instruction-Tuning Data Selection for Long-CoT ReasoningLLM reasoning → Prompting and chain-of-thought reasoning
- JanusDNA: A Powerful Bi-directional Hybrid DNA Foundation ModelMixture-of-experts → MoE large language models
- ExpertGen: Training-Free Expert Guidance for Controllable Text-to-Face GenerationDiffusion models → Image generation, text-to-image and editing
- ConciseRL: Conciseness-Guided Reinforcement Learning for Efficient Reasoning ModelsLLM reasoning → Reinforcement learning for reasoning
- Where You Go is Who You Are: Behavioral Theory-Guided LLMs for Inverse Reinforcement LearningOffline RL and imitation learning from data → Imitation and offline RL for driving
- Backdoors in DRL: Four Environments Focusing on In-distribution TriggersDeep reinforcement learning methods → Adversarial robustness and RL in finance
- ReasoningShield: Safety Detection over Reasoning Traces of Large Reasoning ModelsLLM reasoning → Reasoning for agents, planning and code
- Optimal Policy Minimum Bayesian RiskLLM reasoning → Reinforcement learning for reasoning
- Personalizing Student-Agent Interactions Using Log-Contextualized Retrieval-Augmented Generation (RAG)Retrieval-augmented generation → Agentic RAG, agents and memory +1
- ExeSQL: Self-Taught Text-to-SQL Models with Execution-Driven Bootstrapping for SQL DialectsSynthetic data and self-improvement for LLMs → Synthetic reasoning data and bootstrapping
- Reasoning Model is Stubborn: Diagnosing Instruction Overriding in Reasoning ModelsLLM reasoning → Mathematical reasoning
- Effective Reinforcement Learning for Reasoning in Language ModelsLLM reasoning → Reinforcement learning for reasoning
- Mitigating Gender Bias via Fostering Exploratory Thinking in LLMsLLM reasoning → Reasoning benchmarks and evaluation
- LiloDriver: A Lifelong Learning Framework for Closed-loop Motion Planning in Long-tail Autonomous Driving ScenariosEnd-to-end autonomous driving → Large language models for driving
- FB-RAG: Improving RAG with Forward and Backward LookupRetrieval-augmented generation → RAG pipeline design and evaluation
- CHART-6: Human-Centered Evaluation of Data Visualization Understanding in Vision-Language ModelsMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- Shape it Up! Restoring LLM Safety during FinetuningLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- Tropical Attention: Neural Algorithmic Reasoning for Combinatorial AlgorithmsLLM reasoning → Test-time compute and efficient thinking
- Next Token Perception Score: Analytical Assessment of your LLM Perception SkillsMechanistic interpretability → SAE features and their applications
- OCR-Reasoning Benchmark: Unveiling the True Capabilities of MLLMs in Complex Text-Rich Image ReasoningLLM reasoning → Multimodal reasoning
- DailyQA: A Benchmark to Evaluate Web Retrieval Augmented LLMs Based on Capturing Real-World ChangesRetrieval-augmented generation → RAG robustness and adaptive retrieval
- Harry Potter is Still Here! Probing Knowledge Leakage in Targeted Unlearned Large Language Models via Automated Adversarial PromptingLLM safety and security → Machine unlearning
- TrimR: Verifier-based Training-Free Thinking Compression for Efficient Test-Time ScalingLLM reasoning → Test-time compute and efficient thinking
- Amplify Adjacent Token Differences: Enhancing Long Chain-of-Thought Reasoning with Shift-FFNLLM reasoning → Prompting and chain-of-thought reasoning
- LSM-VEC: A Large-Scale Disk-Based System for Dynamic Vector SearchRetrieval-augmented generation → Vector search and ANN indexes
- MTSA: Multi-turn Safety Alignment for LLMs through Multi-round Red-teamingLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- MDIT-Bench: Evaluating the Dual-Implicit Toxicity in Large Multimodal ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- RAP: Runtime Adaptive Pruning for LLM InferenceEfficient LLM inference and serving → Early exit and edge inference
- Foundation Models for Geospatial Reasoning: Assessing Capabilities of Large Language Models in Understanding Geometries and Topological Spatial RelationsLLM reasoning → Spatial and embodied reasoning
- Dynamic Token Reweighting for Robust Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- GoT-R1: Unleashing Reasoning Capability of MLLM for Visual Generation with Reinforcement LearningLLM reasoning → Multimodal reasoning
- ARB: A Comprehensive Arabic Multimodal Reasoning BenchmarkLLM reasoning → Multimodal reasoning +1
- CrossLMM: Decoupling Long Video Sequences from LMMs via Dual Cross-Attention MechanismsMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Let Androids Dream of Electric Sheep: A Human-Inspired Image Implication Understanding and Reasoning FrameworkLLM reasoning → Multimodal reasoning
- SophiaVL-R1: Reinforcing MLLMs Reasoning with Thinking RewardLLM reasoning → Reinforcement learning for reasoning +2
- Delving into RL for Image Generation with CoT: A Study on DPO vs. GRPOLLM reasoning → Reinforcement learning for reasoning +1
- Interactive Post-Training for Vision-Language-Action ModelsVision-language-action models → Reinforcement learning and post-training
- Multi-SpatialMLLM: Multi-Frame Spatial Understanding with Multi-Modal Large Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- When Are Concepts Erased From Diffusion Models?Diffusion models → Robustness, privacy and adversarial aspects
- SpatialScore: Towards Comprehensive Evaluation for Spatial IntelligenceMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- R1-Searcher++: Incentivizing the Dynamic Knowledge Acquisition of LLMs via Reinforcement LearningRetrieval-augmented generation → Agentic RAG, agents and memory
- Guided Diffusion Sampling on Function Spaces with Applications to PDEsDiffusion models → Inverse problems and image restoration
- Do Large Language Models Excel in Complex Logical Reasoning with Formal Language?LLM reasoning → Reasoning benchmarks and evaluation
- X-MAS: Towards Building Multi-Agent Systems with Heterogeneous LLMsLLM agents and tool use → General LLM agent frameworks and benchmarks
- DecoupledESC: Enhancing Emotional Support Generation via Strategy-Response Decoupled Preference OptimizationLLM alignment / RLHF / preference optimisation → Medical LLM alignment
- R2ec: Towards Large Recommender Models with ReasoningLLM reasoning → LLM reasoning for recommendation
- Dimple: Discrete Diffusion Multimodal Large Language Model with Parallel DecodingMultimodal LLMs / vision-language models → Image editing and quality assessment +2
- MASLab: A Unified and Comprehensive Codebase for LLM-based Multi-Agent SystemsLLM agents and tool use → General LLM agent frameworks and benchmarks
- T1: A Tool-Oriented Conversational Dataset for Multi-Turn Agentic PlanningLLM agents and tool use → Tool learning and function calling
- UFT: Unifying Supervised and Reinforcement Fine-TuningLLM reasoning → Reinforcement learning for reasoning
- Beyond Correlation: Towards Causal Large Language Model Agents in BiomedicineLLM agents and tool use → Medical and scientific domain agents
- Pursuing Temporal-Consistent Video Virtual Try-On via Dynamic Pose InteractionDiffusion models → 3D, point cloud and scene generation
- Know the Ropes: A Heuristic Strategy for LLM-based Multi-Agent System DesignLLM agents and tool use → General LLM agent frameworks and benchmarks
- Incorporating Visual Correspondence into Diffusion Model for Virtual Try-OnDiffusion models → 3D, point cloud and scene generation
- Creatively Upscaling Images with Global-Regional PriorsDiffusion models → Diffusion foundations and sampling
- OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual ReasoningLLM reasoning → Multimodal reasoning
- 3D Equivariant Visuomotor Policy Learning via Spherical ProjectionDiffusion models → Diffusion and flow policies for robotics
- MedFrameQA: A Multi-Image Medical VQA Benchmark for Clinical ReasoningLLM reasoning → Clinical and biomedical applications
- Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- Invisible Prompts, Visible Threats: Malicious Font Injection in External Resources for Large Language ModelsLLM safety and security → Prompt injection and agent security
- On Multilingual Encoder Language Model Compression for Low-Resource LanguagesKnowledge distillation → Knowledge distillation for LLMs
- Bottlenecked Transformers: Periodic KV Cache Consolidation for Generalised ReasoningLLM reasoning → Test-time compute and efficient thinking +1
- MixAT: Combining Continuous and Discrete Adversarial Training for LLMsLLM safety and security → Jailbreaking
- AGENTIF: Benchmarking Instruction Following of Large Language Models in Agentic ScenariosLLM agents and tool use → General LLM agent frameworks and benchmarks
- In-Context Watermarks for Large Language ModelsLLM safety and security → Watermarking generated content and models
- LLaDA-V: Large Language Diffusion Models with Visual Instruction TuningMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
- Beyond Needle(s) in the Embodied Haystack: Environment, Architecture, and Training Considerations for Long Context ReasoningLLM reasoning → Spatial and embodied reasoning
- Latent Principle Discovery for Language Model Self-ImprovementSynthetic data and self-improvement for LLMs → Self-rewarding alignment and self-training
- Risk-Averse Reinforcement Learning with Itakura-Saito LossDeep reinforcement learning methods → RL theory and sample complexity
- Backdoor Cleaning without External Guidance in MLLM Fine-tuningMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- RealEngine: Simulating Autonomous Driving in Realistic ContextWorld models → World models for autonomous driving +1
- FlashBack: Consistency Model-Accelerated Shared AutonomyDiffusion models → Diffusion and flow policies for robotics
- Don't "Overthink" Passage Reranking: Is Reasoning Truly Necessary?LLM reasoning → Knowledge- and tool-augmented reasoning
- T2I-ConBench: Text-to-Image Benchmark for Continual Post-trainingDiffusion models → Image generation, text-to-image and editing
- MPO: Multilingual Safety Alignment via Reward Gap OptimizationLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- Training-Free Efficient Video Generation via Dynamic Token CarvingDiffusion models → Video generation
- Efficient Online RL Fine Tuning with Offline Pre-trained Policy OnlyOffline RL and imitation learning from data → Offline RL algorithms +1
- Think or Not? Selective Reasoning via Reinforcement Learning for Vision-Language ModelsLLM reasoning → Multimodal reasoning +1
- Walk&Retrieve: Simple Yet Effective Zero-shot Retrieval-Augmented Generation via Knowledge Graph WalksLLM reasoning → Knowledge- and tool-augmented reasoning +1
- LaViDa: A Large Diffusion Language Model for Multimodal UnderstandingLLM reasoning → Multimodal reasoning +3
- R1-Compress: Long Chain-of-Thought Compression via Chunk Compression and SearchLLM reasoning → Test-time compute and efficient thinking
- SimpleDeepSearcher: Deep Information Seeking via Web-Powered Reasoning Trajectory SynthesisLLM reasoning → Knowledge- and tool-augmented reasoning +1
All 635
- Strategically Linked Decisions in Long-Term Planning and Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- From EduVisBench to EduVisAgent: A Benchmark and Multi-Agent Framework for Reasoning-Driven Pedagogical VisualizationLLM reasoning → Multimodal reasoning +2
- Unlearning Isn't Deletion: Investigating Reversibility of Machine Unlearning in LLMsLLM safety and security → Machine unlearning
- GUI-explorer: Autonomous Exploration and Mining of Transition-aware Knowledge for GUI AgentLLM agents and tool use → GUI and mobile agents
- KTAE: A Model-Free Algorithm to Key-Tokens Advantage Estimation in Mathematical ReasoningLLM reasoning → Reinforcement learning for reasoning
- DeepRec: Towards a Deep Dive Into the Item Space with Large Language Model Based RecommendationLLM reasoning → LLM reasoning for recommendation
- Two-way Evidence self-Alignment based Dual-Gated Reasoning EnhancementLLM reasoning → Reasoning benchmarks and evaluation
- SOLVE: Synergy of Language-Vision and End-to-End Networks for Autonomous DrivingMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection +1
- A modular framework for automated evaluation of procedural content generation in serious games with deep reinforcement learning agentsDeep reinforcement learning methods → RL for games and combinatorial optimization
- Learning Beyond Limits: Multitask Learning and Synthetic Data for Low-Resource Canonical Morpheme SegmentationSynthetic data and self-improvement for LLMs → LLM synthetic data generation
- SEED: Speaker Embedding Enhancement Diffusion ModelDiffusion models → Audio, speech and music
- REOBench: Benchmarking Robustness of Earth Observation Foundation ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- REPA Works Until It Doesn't: Early-Stopped, Holistic Alignment Supercharges Diffusion TrainingDiffusion models → Diffusion foundations and sampling
- Learning Flexible Forward Trajectories for Masked Molecular DiffusionDiffusion models → Flow matching, time series and science
- Enter the Void - Planning to Seek Entropy When Reward is ScarceWorld models → Latent dynamics models and model-based RL +1
- CoTSRF: Utilize Chain of Thought as Stealthy and Robust Fingerprint of Large Language ModelsLLM reasoning → Prompting and chain-of-thought reasoning
- Reasoning Beyond Language: A Comprehensive Survey on Latent Chain-of-Thought ReasoningLLM reasoning → Prompting and chain-of-thought reasoning
- RBench-V: A Primary Assessment for Visual Reasoning Models with Multi-modal OutputsLLM reasoning → Multimodal reasoning
- Hiding in Plain Sight: A Steganographic Approach to Stealthy LLM JailbreaksLLM safety and security → Jailbreaking
- Self-Rewarding Large Vision-Language Models for Optimizing Prompts in Text-to-Image GenerationMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
- Mesh-RFT: Enhancing Mesh Generation via Fine-grained Reinforcement Fine-TuningLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment +1
- PyTupli: A Scalable Infrastructure for Collaborative Offline Reinforcement Learning ProjectsOffline RL and imitation learning from data → Offline RL algorithms
- Meta-reinforcement learning with minimum attentionDeep reinforcement learning methods → Deep RL algorithms and representations
- Secure LLM Fine-Tuning via Safety-Aware ProbingLLM safety and security → Safety alignment, refusal and guardrails
- Maximum Total Correlation Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
- Efficient Image Restoration with State-Dependent Forward DiffusionDiffusion models → Inverse problems and image restoration
- LLM Fingerprinting via Semantically Conditioned WatermarksLLM safety and security → Watermarking generated content and models
- Locate-then-Merge: Neuron-Level Parameter Fusion for Mitigating Catastrophic Forgetting in Multimodal LLMsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- MCP-RADAR: A Multi-Dimensional Benchmark for Evaluating Tool Use Capabilities in Large Language ModelsLLM agents and tool use → Tool learning and function calling
- One-Step Diffusion-Based Image Compression with Semantic DistillationDiffusion models → Diffusion for compression and wireless
- SPaRC: A Spatial Pathfinding Reasoning ChallengeLLM reasoning → Spatial and embodied reasoning
- R1-ShareVL: Incentivizing Reasoning Capability of Multimodal Large Language Models via Share-GRPOLLM reasoning → Multimodal reasoning +1
- CoNav: Collaborative Cross-Modal Reasoning for Embodied NavigationLLM reasoning → Spatial and embodied reasoning
- Can reasoning models comprehend mathematical problems in Chinese ancient texts? An empirical study based on data from Suanjing ShishuLLM reasoning → Mathematical reasoning
- Seeing Far and Clearly: Mitigating Hallucinations in MLLMs with Attention Causal DecodingMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- Point, Detect, Count: Multi-Task Medical Image Understanding with Instruction-Tuned Vision-Language ModelsMultimodal LLMs / vision-language models → Medical vision-language models
- From Evaluation to Defense: Advancing Safety in Video Large Language ModelsLLM safety and security → Vision-language and text-to-image safety
- BadVLA: Towards Backdoor Attacks on Vision-Language-Action Models via Objective-Decoupled OptimizationVision-language-action models → Safety and adversarial attacks +1
- SSR-Zero: Simple Self-Rewarding Reinforcement Learning for Machine TranslationSynthetic data and self-improvement for LLMs → Self-rewarding alignment and self-training +1
- Steering Large Language Models for Machine Translation PersonalizationMechanistic interpretability → Activation steering methods
- From Generic Empathy to Personalized Emotional Support: A Self-Evolution Framework for User Preference AlignmentLLM alignment / RLHF / preference optimisation → Medical LLM alignment
- O2-Searcher: A Searching-based Agent Model for Open-Domain Open-Ended Question AnsweringLLM agents and tool use → Web, search, and research agents
- How Ensembles of Distilled Policies Improve Generalisation in Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- Bridging the Dynamic Perception Gap: Training-Free Draft Chain-of-Thought for Dynamic Multimodal Spatial ReasoningLLM reasoning → Spatial and embodied reasoning +1
- EMULATE: A Multi-Agent Framework for Determining the Veracity of Atomic Claims by Emulating Human ActionsLLM agents and tool use → Web, search, and research agents
- Watch your steps: Dormant Adversarial Behaviors that Activate upon LLM FinetuningLLM safety and security → Jailbreaking
- ScholarBench: A Bilingual Benchmark for Abstraction, Comprehension, and Reasoning Evaluation in Academic ContextsLLM reasoning → Reasoning benchmarks and evaluation
- CTRAP: Embedding Collapse Trap to Safeguard Large Language Models from Harmful Fine-TuningLLM safety and security → Safety alignment, refusal and guardrails
- Is Your LLM-Based Multi-Agent a Reliable Real-World Planner? Exploring Fraud Detection in Travel PlanningLLM agents and tool use → Agent threats, guardrails and governance
- Think Silently, Think Fast: Dynamic Latent Compression of LLM Reasoning ChainsLLM reasoning → Test-time compute and efficient thinking
- SHaDe: Compact and Consistent Dynamic 3D Reconstruction via Tri-Plane Deformation and Latent DiffusionDiffusion models → 3D, point cloud and scene generation
- DuFFin: A Dual-Level Fingerprinting Framework for LLMs IP ProtectionLLM safety and security → Watermarking generated content and models
- Joint Relational Database Generation via Graph-Conditional Diffusion ModelsDiffusion models → Flow matching, time series and science
- EnSToM: Enhancing Dialogue Systems with Entropy-Scaled Steering Vectors for Topic MaintenanceMechanistic interpretability → Activation steering methods
- CodeMerge: Codebook-Guided Model Merging for Robust Test-Time Adaptation in Autonomous DrivingEnd-to-end autonomous driving → End-to-end system architecture
- ManipLVM-R1: Reinforcement Learning for Reasoning in Embodied Manipulation with Large Vision-Language ModelsLLM reasoning → Spatial and embodied reasoning +1
- Recursive Offloading for LLM Serving in Multi-tier NetworksEfficient LLM inference and serving → Serving systems and request scheduling
- Human-like Semantic Navigation for Autonomous Driving using Knowledge Representation and Large Language ModelsEnd-to-end autonomous driving → Large language models for driving
- ALTo: Adaptive-Length Tokenizer for Autoregressive Mask GenerationMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- Foresight Diffusion: Improving Sampling Consistency in Predictive Diffusion ModelsDiffusion models → Diffusion and flow policies for robotics
- Graph-Supported Dynamic Algorithm Configuration for Multi-Objective Combinatorial OptimizationDeep reinforcement learning methods → RL for games and combinatorial optimization
- Benchmarking Retrieval-Augmented Multimodal Generation for Document Question AnsweringRetrieval-augmented generation → Multimodal RAG
- MMLU-Reason: Benchmarking Multi-Task Multi-modal Language Understanding and ReasoningLLM reasoning → Multimodal reasoning +1
- PhyMAGIC: Physical Motion-Aware Generative Inference with Confidence-guided LLMDiffusion models → Video generation
- Psychology-driven LLM Agents for Explainable Panic Prediction on Social Media during Sudden Disaster EventsLLM agents and tool use → Social simulation and multi-agent debate
- The First Impression Problem: Internal Bias Triggers Overthinking in Reasoning ModelsLLM reasoning → Test-time compute and efficient thinking
- Implicit Jailbreak Attacks via Cross-Modal Information Concealment on Vision-Language ModelsLLM reasoning → Reasoning for agents, planning and code +2
- Beyond Static Testbeds: An Interaction-Centric Agent Simulation Platform for Dynamic Recommender SystemsLLM agents and tool use → Agentic recommender systems
- Unlocking Smarter Device Control: Foresighted Planning with a World Model-Driven Code Execution ApproachWorld models → World models for language agents
- WebAgent-R1: Training Web Agents via End-to-End Multi-Turn Reinforcement LearningLLM agents and tool use → Web, search, and research agents +1
- Circle-RoPE: Cone-like Decoupled Rotary Positional Embedding for Large Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Attributing Response to Context: A Jensen-Shannon Divergence Driven Mechanistic Study of Context Attribution in Retrieval-Augmented GenerationRetrieval-augmented generation → RAG robustness and adaptive retrieval
- Mitigating Hallucinations in Vision-Language Models through Image-Guided Head SuppressionMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- Tool-Star: Empowering LLM-Brained Multi-Tool Reasoner via Reinforcement LearningLLM reasoning → Reasoning for agents, planning and code
- FREESON: Retriever-Free Retrieval-Augmented Reasoning via Corpus-Traversing MCTSLLM reasoning → Knowledge- and tool-augmented reasoning +1
- From Surveys to Narratives: Rethinking Cultural Value Adaptation in LLMsLLM reasoning → Reasoning benchmarks and evaluation
- Divide-Fuse-Conquer: Eliciting "Aha Moments" in Multi-Scenario GamesLLM reasoning → Reinforcement learning for reasoning
- AceReason-Nemotron: Advancing Math and Code Reasoning through Reinforcement LearningLLM reasoning → Reinforcement learning for reasoning
- Raw2Drive: Reinforcement Learning with Aligned World Models for End-to-End Autonomous Driving (in CARLA v2)World models → World models for autonomous driving +3
- VLM-SAFE: Vision-Language Model-Guided Safety-Aware Reinforcement Learning with World Models for Autonomous DrivingWorld models → World models for autonomous driving +2
- PCMamba: Physics-Informed Cross-Modal State Space Model for Dual-Camera Compressive Hyperspectral ImagingState-space sequence models (S4, Mamba) → Hyperspectral image analysis with Mamba
- SATURN: SAT-based Reinforcement Learning to Unleash LLMs ReasoningLLM reasoning → Reinforcement learning for reasoning
- Chain-of-Thought Poisoning Attacks against R1-based Retrieval-Augmented Generation SystemsLLM reasoning → Knowledge- and tool-augmented reasoning +1
- A collaborative constrained graph diffusion model for the generation of realistic synthetic moleculesDiffusion models → Flow matching, time series and science
- Style Transfer with Diffusion Models for Synthetic-to-Real Domain AdaptationDiffusion models → Image generation, text-to-image and editing
- Embodied Agents Meet Personalization: Investigating Challenges and Solutions Through the Lens of Memory UtilizationLLM agents and tool use → Agent memory systems
- ChemMLLM: Chemical Multimodal Large Language ModelMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- AdaSTaR: Adaptive Data Sampling for Training Self-Taught ReasonersLLM reasoning → Test-time compute and efficient thinking +1
- Incentivizing Dual Process Thinking for Efficient Large Language Model ReasoningLLM reasoning → Test-time compute and efficient thinking
- EquivPruner: Boosting Efficiency and Quality in LLM-Based Search via Action PruningLLM reasoning → Test-time compute and efficient thinking
- SAMba-UNet: SAM2-Mamba UNet for Cardiac MRI in Medical Robotic PerceptionState-space sequence models (S4, Mamba) → Mamba for medical image analysis
- Flow Matching based Sequential Recommender ModelDiffusion models → Diffusion recommenders
- ToDi: Token-wise Distillation via Fine-Grained Divergence ControlKnowledge distillation → Knowledge distillation for LLMs
- Augmenting LLM Reasoning with Dynamic Notes Writing for Complex QALLM reasoning → Knowledge- and tool-augmented reasoning +1
- No Black Boxes: Interpretable and Interactable Predictive Healthcare with Knowledge-Enhanced Agentic Causal DiscoveryLLM agents and tool use → Medical and scientific domain agents
- ARPO:End-to-End Policy Optimization for GUI Agents with Experience ReplayLLM agents and tool use → GUI and mobile agents
- HiMATE: A Hierarchical Multi-Agent Framework for Machine Translation EvaluationLLM agents and tool use → General LLM agent frameworks and benchmarks
- DriveMoE: Mixture-of-Experts for Vision-Language-Action Model in End-to-End Autonomous DrivingVision-language-action models → VLA for autonomous driving +2
- Think-RM: Enabling Long-Horizon Reasoning in Generative Reward ModelsLLM reasoning → Reinforcement learning for reasoning +1
- IRONIC: Coherence-Aware Reasoning Chains for Multi-Modal Sarcasm DetectionLLM reasoning → Multimodal reasoning
- Does Localization Inform Unlearning? A Rigorous Examination of Local Parameter Attribution for Knowledge Unlearning in Language ModelsLLM safety and security → Machine unlearning
- Offline Guarded Safe Reinforcement Learning for Medical Treatment Optimization StrategiesOffline RL and imitation learning from data → Safe offline RL
- Three Minds, One Legend: Jailbreak Large Reasoning Model with Adaptive Stacked CiphersLLM reasoning → Reasoning for agents, planning and code +1
- DOVE: Efficient One-Step Diffusion Model for Real-World Video Super-ResolutionDiffusion models → Inverse problems and image restoration
- Align-GRAG: Anchor and Rationale Guided Dual Alignment for Graph Retrieval-Augmented GenerationRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- LIFEBench: Evaluating Length Instruction Following in Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
- Reward-Aware Proto-Representations in Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- Memorization or Reasoning? Exploring the Idiom Understanding of LLMsLLM reasoning → Reasoning benchmarks and evaluation
- NQKV: A KV Cache Quantization Scheme Based on Normal Distribution CharacteristicsEfficient LLM inference and serving → KV cache quantization
- An Empirical Study on Configuring In-Context Learning Demonstrations for Unleashing MLLMs' Sentimental Perception CapabilityMultimodal LLMs / vision-language models → Multimodal emotion understanding
- VLM-R3: Region Recognition, Reasoning, and Refinement for Enhanced Multimodal Chain-of-ThoughtLLM reasoning → Multimodal reasoning
- SAE-SSV: Supervised Steering in Sparse Representation Spaces for Reliable Control of Language ModelsMechanistic interpretability → SAE features and their applications
- SafeKey: Amplifying Aha-Moment Insights for Safety ReasoningLLM reasoning → Reasoning for agents, planning and code +1
- Dynamic Sampling that Adapts: Self-Aware Iterative Data Persistent Optimization for Mathematical ReasoningLLM reasoning → Test-time compute and efficient thinking +1
- Erased or Dormant? Rethinking Concept Erasure Through ReversibilityDiffusion models → Robustness, privacy and adversarial aspects
- Tactile-based Reinforcement Learning for Adaptive Grasping under Observation UncertaintiesDeep reinforcement learning methods → RL for robot locomotion and manipulation
- TRAIL: Transferable Robust Adversarial Images via Latent diffusionDiffusion models → Robustness, privacy and adversarial aspects
- KNN-SSD: Enabling Dynamic Self-Speculative Decoding via Nearest Neighbor Layer Set OptimizationEfficient LLM inference and serving → Speculative decoding
- Training-Free Reasoning and Reflection in MLLMsLLM reasoning → Multimodal reasoning
- When VLMs Meet Image Classification: Test Sets Renovation via Missing Label IdentificationMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Losing is for Cherishing: Data Valuation Based on Machine Unlearning and Shapley ValueLLM safety and security → Machine unlearning
- Steering LVLMs via Sparse Autoencoder for Hallucination MitigationMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs +1
- RLKD: Distilling LLMs' Reasoning via Reinforcement LearningLLM reasoning → Prompting and chain-of-thought reasoning +1
- Sudoku-Bench: Evaluating creative reasoning with Sudoku variantsLLM reasoning → Reasoning benchmarks and evaluation
- HASH-RAG: Bridging Deep Hashing with Retriever for Efficient, Fine Retrieval and Augmented GenerationRetrieval-augmented generation → RAG pipeline design and evaluation
- LLMs Are Not Scorers: Rethinking MT Evaluation with Generation-Based MethodsLLM reasoning → Reasoning benchmarks and evaluation
- Veracity Bias and Beyond: Uncovering LLMs' Hidden Beliefs in Problem-Solving ReasoningLLM reasoning → Reasoning benchmarks and evaluation
- Plan and Budget: Effective and Efficient Test-Time Scaling on Reasoning Large Language ModelsLLM reasoning → Test-time compute and efficient thinking
- LLM-Powered AI Agent Systems and Their Applications in IndustryLLM agents and tool use → General LLM agent frameworks and benchmarks
- Source Separation by Flow MatchingDiffusion models → Audio, speech and music
- Logic-of-Thought: Empowering Large Language Models with Logic Programs for Solving Puzzles in Natural LanguageLLM reasoning → Reasoning benchmarks and evaluation
- Tools in the Loop: Quantifying Uncertainty of LLM Question Answering Systems That Use ToolsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Hierarchical Safety Realignment: Lightweight Restoration of Safety in Pruned Large Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- Continually Self-Improving Language Models for Bariatric Surgery Question--AnsweringSynthetic data and self-improvement for LLMs → Medical synthetic data and agents
- BioDSA-1K: Benchmarking Data Science Agents for Biomedical ResearchLLM agents and tool use → Medical and scientific domain agents
- Reinforcement Learning for Stock TransactionsDeep reinforcement learning methods → Adversarial robustness and RL in finance
- Cosmos: A CXL-Based Full In-Memory System for Approximate Nearest Neighbor SearchRetrieval-augmented generation → Vector search and ANN indexes
- OSCAR: One-Step Diffusion Codec Across Multiple Bit-ratesDiffusion models → Diffusion for compression and wireless
- Date Fragments: A Hidden Bottleneck of Tokenization for Temporal ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning
- Optimizing LLM-Based Multi-Agent System with Textual Feedback: A Case Study on Software DevelopmentLLM agents and tool use → General LLM agent frameworks and benchmarks
- CDST: Color Disentangled Style Transfer for Universal Style Reference Customization
- MARch'e: Fast Masked Autoregressive Image Generation with Cache-Aware Attention
- Human-like Forgetting Curves in Deep Neural Networks
- EMERGENT: Efficient and Manipulation-resistant Matching using GFlowNets
- Embedding Trust at Scale: Physics-Aware Neural Watermarking for Secure and Verifiable Data Pipelines
- Improving Generalization in Heterogeneous Federated Continual Learning via Spatio-Temporal Gradient Matching with Prototypical Coreset
- Impact, Causation and Prediction of Socio-Academic and Economic Factors in Exam-centric Student Evaluation Measures using Machine Learning and Causal Analysis
- Physics-Informed Neural Networks for Vessel Trajectory Prediction: Learning Time-Discretized Kinematic Dynamics via Finite Differences
- Constant Bit-size Transformers Are Turing Complete
- STRCMP: Integrating Graph Structural Priors with Language Models for Combinatorial Optimization
- xInv: Explainable Optimization of Inverse Problems
- PolyMicros: Bootstrapping a Foundation Model for Polycrystalline Material Structure
- Adaptive Composition of Machine Learning as a Service (MLaaS) for IoT Environments
- Bootstrapping your behavior: a new pretraining strategy for user behavior sequence data
- NSW-EPNews: A News-Augmented Benchmark for Electricity Price Forecasting with LLMs
- Towards Competent AI for Fundamental Analysis in Finance: A Benchmark Dataset and Evaluation
- Template-Guided 3D Molecular Pose Generation via Flow Matching and Differentiable Optimization
- Applying MambaAttention, TabPFN, and TabTransformers to Classify SAE Automation Levels in Crashes
- Learning Normal Patterns in Musical Loops
- Boosting In-Context Learning in LLMs Through the Lens of Classical Supervised Learning
- Do DeepFake Attribution Models Generalize?
- Cold Start Problem: An Experimental Study of Knowledge Tracing Models with New Students
- AIDRIN 2.0: A Framework to Assess Data Readiness for AI
- BAGELS: Benchmarking the Automated Generation and Extraction of Limitations from Scholarly Text
- The Case for Repeatable, Open, and Expert-Grounded Hallucination Benchmarks in Large Language Models
- A Multi-Head Attention Soft Random Forest for Interpretable Patient No-Show Prediction
- Ocular Authentication: Fusion of Gaze and Periocular Modalities
- A Survey of Safe Reinforcement Learning and Constrained MDPs: A Technical Survey on Single-Agent and Multi-Agent Safety
- TI-DeepONet: Learnable Time Integration for Stable Long-Term Extrapolation
- Conformal Predictive Distributions for Order Fulfillment Time Forecasting
- Render-FM: Feedforward Model for Real-time Photorealistic Volumetric Rendering
- Temporal Differential Fields for 4D Motion Modeling via Image-to-Video Synthesis
- SweEval: Do LLMs Really Swear? A Safety Benchmark for Testing Limits for Enterprise Use
- ECHO-LLaMA: Efficient Caching for High-Performance LLaMA Training
- FS-DAG: Few Shot Domain Adapting Graph Networks for Visually Rich Document Understanding
- Transformer brain encoders explain human high-level visual responses
- Game-invariant Features Through Contrastive and Domain-adversarial Learning
- GPT Editors, Not Authors: The Stylistic Footprint of LLMs in Academic Preprints
- Partner Modelling Emerges in Recurrent Agents (But Only When It Matters)
- Comparative Evaluation of Expressive Japanese Character Text-to-Speech with VITS and Style-BERT-VITS2
- Optimizing Image Capture for Computer Vision-Powered Taxonomic Identification and Trait Recognition of Biodiversity Specimens
- Harnessing EHRs for Diffusion-based Anomaly Detection on Chest X-rays
- Decoupling Representation and Learning in Genetic Programming: the LaSER Approach
- Repulsive Ensembles for Bayesian Inference in Physics-informed Neural Networks
- Wavelet Probabilistic Recurrent Convolutional Network for Multivariate Time Series Classification
- Refusal Direction is Universal Across Safety-Aligned Languages
- Understanding the Implicit Regularization of Gradient Descent in Over-parameterized Models
- Statistical Inference for Online Algorithms
- SELF: Self-Extend the Context Length With Logistic Growth Function
- Graph Data Selection for Domain Adaptation: A Model-Free Approach
- Optimal Transport with Heterogeneously Missing Data
- Learning to Choose or Choosing to Learn: Best-of-N vs. Supervised Fine-Tuning for Bit String Generation
- Deconfounded Warm-Start Thompson Sampling with Applications to Precision Medicine
- Attention with Trained Embeddings Provably Selects Important Tokens
- Mitigate One, Skew Another? Tackling Intersectional Biases in Text-to-Image Models
- Comparator-Adaptive Phi-Regret: Improved Bounds, Simpler Algorithms, and Applications to Games
- CaseReportBench: An LLM Benchmark Dataset for Dense Information Extraction in Clinical Case Reports
- The Rise of Parameter Specialization for Knowledge Storage in Large Language Models
- Approach to Finding a Robust Deep Learning Model
- Extending Dataset Pruning to Object Detection: A Variance-based Approach
- Generative AI and Creativity: A Systematic Literature Review and Meta-Analysis
- CHAOS: Chart Analysis with Outlier Samples
- Semantic-Aware Interpretable Multimodal Music Auto-Tagging
- Automated Capability Evaluation of Foundation Models
- Secure and Private Federated Learning: Achieving Adversarial Resilience through Robust Aggregation
- REACT 2025: the Third Multiple Appropriate Facial Reaction Generation Challenge
- Humans Hallucinate Too: Language Models Identify and Correct Subjective Annotation Errors With Label-in-a-Haystack Prompts
- MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph
- Assessing the generalization performance of SAM for ureteroscopy scene understanding
- Content Moderation in TV Search: Balancing Policy Compliance, Relevance, and User Experience
- Liouville PDE-based sliced-Wasserstein flow
- Transfer Faster, Price Smarter: Minimax Dynamic Pricing under Cross-Market Preference Shift
- A Framework for Multi-View Multiple Object Tracking using Single-View Multi-Object Trackers on Fish Data
- LengthLogD: A Length-Stratified Ensemble Framework for Enhanced Peptide Lipophilicity Prediction via Multi-Scale Feature Integration
- CRG Score: A Distribution-Aware Clinical Metric for Radiology Report Generation
- A Toolkit for Compliance, a Toolkit for Justice: Drawing on Cross-sectoral Expertise to Develop a Pro-justice EU AI Act Toolkit
- PersonaBOT: Bringing Customer Personas to Life with LLMs and RAG
- Can Large Language Models Design Biological Weapons? Evaluating Moremi Bio
- Bayesian Optimization for Enhanced Language Models: Optimizing Acquisition Functions
- Efficient Training of Neural SDEs Using Stochastic Optimal Control
- Large Language Models for Predictive Analysis: How Far Are They?
- LLM Agents for Interactive Exploration of Historical Cadastre Data: Framework and Application to Venice
- LLM Access Shield: Domain-Specific LLM Framework for Privacy Policy Compliance
- Evaluating the Performance of Nigerian Lecturers using Multilayer Perceptron
- MetaSTH-Sleep: Towards Effective Few-Shot Sleep Stage Classification for Health Management with Spatial-Temporal Hypergraph Enhanced Meta-Learning
- Fashion Industry in the Age of Generative Artificial Intelligence and Metaverse: A systematic Review
- Data Doping or True Intelligence? Evaluating the Transferability of Injected Knowledge in LLMs
- EarthSE: A Benchmark for Evaluating Earth Scientific Exploration Capability of LLMs
- Cog-TiPRO: Iterative Prompt Refinement with LLMs to Detect Cognitive Decline via Longitudinal Voice Assistant Commands
- When can isotropy help adapt LLMs' next word prediction to numerical domains?
- LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions
- Learning Probabilities of Causation with Mask-Augmented Data
- Relative Bias: A Comparative Framework for Quantifying Bias in LLMs
- Learning Adaptive and Temporally Causal Video Tokenization in a 1D Latent Space
- Understanding Prompt Tuning and In-Context Learning via Meta-Learning
- Deep mineralogical segmentation of thin section images based on QEMSCAN maps
- CoMo: Learning Continuous Latent Motion from Internet Videos for Scalable Robot Learning
- Sufficient conditions for offline reactivation in recurrent neural networks
- PAEFF: Precise Alignment and Enhanced Gated Feature Fusion for Face-Voice Association
- Seeing through Satellite Images at Street Views
- Critical Points of Random Neural Networks
- A Unified Framework for Simultaneous Parameter and Function Discovery in Differential Equations
- Native Segmentation Vision Transformers
- PICT -- A Differentiable, GPU-Accelerated Multi-Block PISO Solver for Simulation-Coupled Learning Tasks in Fluid Dynamics
- An Effective Training Framework for Light-Weight Automatic Speech Recognition Models
- Extremely Simple Multimodal Outlier Synthesis for Out-of-Distribution Detection and Segmentation
- LLM as Effective Streaming Processor: Bridging Streaming-Batch Mismatches with Group Position Encoding
- HyGenar: An LLM-Driven Hybrid Genetic Algorithm for Few-Shot Grammar Generation
- SWE-Dev: Evaluating and Training Autonomous Feature-Driven Software Development
- VeriFastScore: Speeding up long-form factuality evaluation
- From Tens of Hours to Tens of Thousands: Scaling Back-Translation for Speech Recognition
- UniPhy: Learning a Unified Constitutive Model for Inverse Physics Simulation
- CASS: Nvidia to AMD Transpilation with Data, Models, and Benchmark
- Hard Negatives, Hard Lessons: Revisiting Training Data Quality for Robust Information Retrieval with LLMs
- BP-Seg: A graphical model approach to unsupervised and non-contiguous text segmentation using belief propagation
- ICYM2I: The illusion of multimodal informativeness under missingness
- FrontierCO: Real-World and Large-Scale Evaluation of Machine Learning Solvers for Combinatorial Optimization
- NY Real Estate Racial Equity Analysis via Applied Machine Learning
- Efficient All-Pairs Correlation Volume Sampling for Optical Flow Estimation
- FoMoH: A clinically meaningful foundation model evaluation for structured electronic health records
- InternAgent: When Agent Becomes the Scientist -- Building Closed-Loop System from Hypothesis to Verification
- SPAR: Self-supervised Placement-Aware Representation Learning for Distributed Sensing
- The Polar Express: Optimal Matrix Sign Methods and Their Application to the Muon Algorithm
- PIIvot: A Lightweight NLP Anonymization Framework for Question-Anchored Tutoring Dialogues
- TULiP: Test-time Uncertainty Estimation via Linearization and Weight Perturbation
- UNCLE: Benchmarking Uncertainty Expressions in Long-Form Generation
- Scalable and Interpretable Contextual Bandits: A Literature Review and Retail Offer Prototype
- DetailMaster: Can Your Text-to-Image Model Handle Long Prompts?
- Active Speech Enhancement: Active Speech Denoising Decliping and Deveraberation
- Freeze, Prompt, and Adapt: A Framework for Source-free Unsupervised GNN Prompting
- Code Graph Model (CGM): A Graph-Integrated Large Language Model for Repository-Level Software Engineering Tasks
- Power-Law Decay Loss for Large Language Model Finetuning: A Theory Perspective
- Identifying, Evaluating, and Mitigating Risks of AI Thought Partnerships
- Structure-Aligned Protein Language Model
- Shadows in the Attention: Contextual Perturbation and Representation Drift in the Dynamics of Hallucination in LLMs
- Statistical Test for Saliency Maps of Graph Neural Networks via Selective Inference
- PARASITE: Conditional System Prompt Poisoning to Hijack LLMs
- Tracking the Flight: Exploring a Computational Framework for Analyzing Escape Responses in Plains Zebra (Equus quagga)
- CASTILLO: Characterizing Response Length Distributions of Large Language Models
- How high is `high'? Rethinking the roles of dimensionality in topological data analysis and manifold learning
- Predicate-Conditional Conformalized Answer Sets for Knowledge Graph Embeddings
- A Multi-Step Comparative Framework for Anomaly Detection in IoT Data Streams
- Comparative analysis of subword tokenization approaches for Indian languages
- Conditional Panoramic Image Generation via Masked Autoregressive Modeling
- GCAL: Adapting Graph Models to Evolving Domain Shifts
- Redefining Clustered Federated Learning for System Identification: The Path of ClusterCraft
- Nested Named Entity Recognition as Single-Pass Sequence Labeling
- ATR-Bench: A Federated Learning Benchmark for Adaptation, Trust, and Reasoning
- Understanding and Analyzing Inappropriately Targeting Language in Online Discourse: A Comparative Annotation Study
- Unlocking Temporal Flexibility: Neural Speech Codec with Variable Frame Rate
- Fact-R1: Towards Explainable Video Misinformation Detection with Deep Reasoning
- Contextual Learning for Stochastic Optimization
- LLM-Based Emulation of the Radio Resource Control Layer: Towards AI-Native RAN Protocols
- Character-Centered Dialogue Generation from Scene-Level Prompts
- Image Quality Assessment for Embodied AI
- Does Synthetic Data Help Named Entity Recognition for Low-Resource Languages?
- Dynamic Reservoir Computing with Physical Neuromorphic Networks
- Semi-Supervised State-Space Model with Dynamic Stacking Filter for Real-World Video Deraining
- Hypergraph Tversky-Aware Domain Incremental Learning for Brain Tumor Segmentation with Missing Modalities
- V2V: Scaling Event-Based Vision through Efficient Video-to-Voxel Simulation
- Cohort-Based Active Modality Acquisition
- Accidental Vulnerability: Factors in Fine-Tuning that Shift Model Safeguards
- FlowMixer: A Depth-Agnostic Neural Architecture for Interpretable Spatiotemporal Forecasting
- Four Eyes Are Better Than Two: Harnessing the Collaborative Potential of Large Models via Differentiated Thinking and Complementary Ensembles
- Fuzzy Information Evolution with Three-Way Decision in Social Network Group Decision-Making
- Single Domain Generalization for Few-Shot Counting via Universal Representation Matching
- IFEval-Audio: Benchmarking Instruction-Following Capability in Audio-based Large Language Models
- Mitigating Overfitting in Medical Imaging: Self-Supervised Pretraining vs. ImageNet Transfer Learning for Dermatological Diagnosis
- Data-Driven Breakthroughs and Future Directions in AI Infrastructure: A Comprehensive Review
- Representation Discrepancy Bridging Method for Remote Sensing Image-Text Retrieval
- Multi-Output Gaussian Processes for Graph-Structured Data
- Action is All You Need: Dual-Flow Generative Ranking Network for Recommendation
- Revenue Optimization with Price-Sensitive and Interdependent Demand
- TRIM: Achieving Extreme Sparsity with Targeted Row-wise Iterative Metric-driven Pruning
- Robust Vision-Based Runway Detection through Conformal Prediction and Conformal mAP
- Backward Oversmoothing: why is it hard to train deep Graph Neural Networks?
- Adversarial Deep Metric Learning for Cross-Modal Audio-Text Alignment in Open-Vocabulary Keyword Spotting
- Sequential Monte Carlo for Policy Optimization in Continuous POMDPs
- Masked Conditioning for Deep Generative Models
- Advancing Brainwave Modeling with a Codebook-Based Foundation Model
- Breaking mBad! Supervised Fine-tuning for Cross-Lingual Detoxification
- The Computational Complexity of Counting Linear Regions in ReLU Neural Networks
- Experimental robustness benchmarking of quantum neural networks on a superconducting quantum processor
- Improved generalization bounds for binary linear classification via isoperimetry
- Training Long-Context LLMs Efficiently via Chunk-wise Optimization
- SEDD-PCC: A Single Encoder-Dual Decoder Framework For End-To-End Learned Point Cloud Compression
- KRIS-Bench: Benchmarking Next-Level Intelligent Image Editing Models
- An Analysis of Concept Bottleneck Models: Measuring, Understanding, and Mitigating the Impact of Noisy Annotations
- Beyond Induction Heads: In-Context Meta Learning Induces Multi-Phase Circuit Emergence
- EZ-VC: Easy Zero-shot Any-to-Any Voice Conversion
- Your Pre-trained LLM is Secretly an Unsupervised Confidence Calibrator
- On the use of Graphs for Satellite Image Time Series
- Learning Genomic Structure from k-mers
- Semantic Compression of 3D Objects for Open and Collaborative Virtual Worlds
- On the Out-of-Distribution Generalization of Self-Supervised Learning
- Zero-Shot Anomaly Detection in Battery Thermal Images Using Visual Question Answering with Prior Knowledge
- Quantum Feature Optimization for Enhanced Clustering of Blockchain Transaction Data
- BitHydra: Towards Bit-flip Inference Cost Attack against Large Language Models
- ELABORATION: A Comprehensive Benchmark on Human-LLM Competitive Programming
- HyBattNet: Hybrid Framework for Predicting the Remaining Useful Life of Lithium-Ion Batteries
- A Japanese Language Model and Three New Evaluation Benchmarks for Pharmaceutical NLP
- SD-MAD: Sign-Driven Few-shot Multi-Anomaly Detection in Medical Images
- Zero-Shot Hyperspectral Pansharpening Using Hysteresis-Based Tuning for Spectral Quality Control
- Unsupervised Network Anomaly Detection with Autoencoders and Traffic Images
- Stochastic Forward-Forward Learning through Representational Dimensionality Compression
- Collaboration among Multiple Large Language Models for Medical Question Answering
- SMART: Self-Generating and Self-Validating Multi-Dimensional Assessment for LLMs' Mathematical Problem Solving
- Learning non-equilibrium diffusions with Schr"odinger bridges: from exactly solvable to simulation-free
- Reconsidering Fairness Through Unawareness From the Perspective of Model Multiplicity
- Multivariate Latent Recalibration for Conditional Normalizing Flows
- WikiDBGraph: A Data Management Benchmark Suite for Collaborative Learning over Database Silos
- Towards Texture- And Shape-Independent 3D Keypoint Estimation in Birds
- MiLQ: Benchmarking IR Models for Bilingual Web Search with Mixed Language Queries
- SoccerChat: Integrating Multimodal Data for Enhanced Soccer Game Understanding
- Background Matters: A Cross-view Bidirectional Modeling Framework for Semi-supervised Medical Image Segmentation
- Grounding Chest X-Ray Visual Question Answering with Generated Radiology Reports
- CausalDynamics: A large-scale benchmark for structural discovery of dynamical causal models
- Open and Sustainable AI: challenges, opportunities and the road ahead in the life sciences (October 2025 -- Version 2)
- MEgoHand: Multimodal Egocentric Hand-Object Interaction Motion Generation
- Decoupled Geometric Parameterization and its Application in Deep Homography Estimation
- Safe Uncertainty-Aware Learning of Robotic Suturing
- Temporal Object Captioning for Street Scene Videos from LiDAR Tracks
- What Media Frames Reveal About Stance: A Dataset and Study about Memes in Climate Change Discourse
- Evaluating Large Language Model with Knowledge Oriented Language Specific Simple Question Answering
- Training on Plausible Counterfactuals Removes Spurious Correlations
- Large Language Model-Empowered Interactive Load Forecasting
- From Local Patterns to Global Understanding: Cross-Stock Trend Integration for Enhanced Predictive Modeling
- URLs Help, Topics Guide: Understanding Metadata Utility in LLM Training
- M2SVid: End-to-End Inpainting and Refinement for Monocular-to-Stereo Video Conversion
- A Two-Stage Data Selection Framework for Data-Efficient Model Training on Edge Devices
- Auto-nnU-Net: Towards Automated Medical Image Segmentation
- Towards Coordinate- and Dimension-Agnostic Machine Learning for Partial Differential Equations
- Incremental Sequence Classification with Temporal Consistency
- Find the Fruit: Zero-Shot Sim2Real RL for Occlusion-Aware Plant Manipulation
- TextureSAM: Towards a Texture Aware Foundation Model for Segmentation
- Mechanistic Understanding and Mitigation of Language Confusion in English-Centric Large Language Models
- Motion Matters: Compact Gaussian Streaming for Free-Viewpoint Video Reconstruction
- HOFT: Householder Orthogonal Fine-tuning
- Large Language Models Are Still Misled by Simple Bias Ensembles
- Are the Hidden States Hiding Something? Testing the Limits of Factuality-Encoding Capabilities in LLMs
- CUB: Benchmarking Context Utilisation Techniques for Language Models
- Amortized Linear-time Exact Shapley Value for Product-Kernel Methods
- AppealCase: A Dataset and Benchmark for Civil Case Appeal Scenarios
- Detailed Evaluation of Modern Machine Learning Approaches for Optic Plastics Sorting
- Beyond Face Swapping: A Diffusion-Based Digital Human Benchmark for Multimodal Deepfake Detection
- Edge-First Language Model Inference: Models, Metrics, and Tradeoffs
- Relevance for Stability of Verification Status of a Set of Arguments in Incomplete Argumentation Frameworks (with Proofs)
- Sparse Activation Editing for Reliable Instruction Following in Narratives
- Smaller, Smarter, Closer: The Edge of Collaborative Generative AI
- Accuracy vs. Accuracy: Computational Tradeoffs Between Classification Rates and Utility
- Constrained Non-negative Matrix Factorization for Guided Topic Modeling of Minority Topics
- LLaMAs Have Feelings Too: Unveiling Sentiment and Emotion Representations in LLaMA Models Through Probing
- Generative Prior-Guided Neural Interface Reconstruction for 3D Electrical Impedance Tomography
- InspectionV3: Enhancing Tobacco Quality Assessment with Deep Convolutional Neural Networks for Automated Workshop Management
- Teaching Large Language Models to Maintain Contextual Faithfulness via Synthetic Tasks and Reinforcement Learning
- Minimizing the energy depletion in wireless rechargeable sensor networks using bi-level metaheuristic charging schemes
- Neighbour-Driven Gaussian Process Variational Autoencoders for Scalable Structured Latent Modelling
- Clear Nights Ahead: Towards Multi-Weather Nighttime Image Restoration
- Advancing the Scientific Method with Large Language Models: From Hypothesis to Discovery
- ReflectEvo: Improving Meta Introspection of Small LLMs by Learning Self-Reflection
- Reading Between the Prompts: How Stereotypes Shape LLM's Implicit Personalization
- Conf-GNNRec: Quantifying and Calibrating the Prediction Confidence for GNN-based Recommendation Methods
- AnchorFormer: Differentiable Anchor Attention for Efficient Vision Transformer
- University of Indonesia at SemEval-2025 Task 11: Evaluating State-of-the-Art Encoders for Multi-Label Emotion Detection
- CMRINet: Joint Groupwise Registration and Segmentation for Cardiac Function Quantification from Cine-MRI
- TAT-VPR: Ternary Adaptive Transformer for Dynamic and Efficient Visual Place Recognition
- MAFE R-CNN: Selecting More Samples to Learn Category-aware Features for Small Object Detection
- Ranked Entropy Minimization for Continual Test-Time Adaptation
- Joint Flow And Feature Refinement Using Attention For Video Restoration
- AutoMCQ -- Automatically Generate Code Comprehension Questions using GenAI
- I2G: Generating Instructional Illustrations via Text-Conditioned Diffusion
- Investigating Fine- and Coarse-grained Structural Correspondences Between Deep Neural Networks and Human Object Image Similarity Judgments Using Unsupervised Alignment
- Exploring the Relationship Between Diversity and Quality in Ad Text Generation
- Pose-invariant face recognition via feature-space pose frontalization
- On the reliability of feature attribution methods for speech classification
- Performance Guaranteed Poisoning Attacks in Federated Learning: A Sliding Mode Approach
- AdvReal: Physical Adversarial Patch Generation Framework for Security Evaluation of Object Detection Systems
- Sketchy Bounding-box Supervision for 3D Instance Segmentation
- Resource for Error Analysis in Text Simplification: New Taxonomy and Test Collection
- Serious Games: Human-AI Interaction, Evolution, and Coevolution
- Omni TM-AE: A Scalable and Interpretable Embedding Model Using the Full Tsetlin Machine State Space
- Semantic Pivots Enable Cross-Lingual Transfer in Large Language Models
- MAGE: A Multi-task Architecture for Gaze Estimation with an Efficient Calibration Module
- PaTH Attention: Position Encoding via Accumulating Householder Transformations
- Materials Generation in the Era of Artificial Intelligence: A Comprehensive Survey
- DeCafNet: Delegate and Conquer for Efficient Temporal Grounding in Long Videos
- Temporal and Spatial Feature Fusion Framework for Dynamic Micro Expression Recognition
- AdamS: Momentum Itself Can Be A Normalizer for LLM Pretraining and Post-training
- Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithms
- Admission Control of Quasi-Reversible Queueing Systems: Optimization and Reinforcement Learning
- Dysfluent WFST: A Framework for Zero-Shot Speech Dysfluency Transcription and Detection
- Ask, Retrieve, Summarize: A Modular Pipeline for Scientific Literature Summarization
- Graph Attention Network for Optimal User Association in Wireless Networks
- A Square Peg in a Square Hole: Meta-Expert for Long-Tailed Semi-Supervised Learning
- Improving Chemical Understanding of LLMs via SMILES Parsing
- Fusion of Foundation and Vision Transformer Model Features for Dermatoscopic Image Classification
- FPQVAR: Floating Point Quantization for Visual Autoregressive Model with FPGA Hardware Co-design
- Panoptic Captioning: An Equivalence Bridge for Image and Text
- Understanding Differential Transformer Unchains Pretrained Self-Attentions
- Is Quantum Optimization Ready? An Effort Towards Neural Network Compression using Adiabatic Quantum Computing
- SC4ANM: Identifying Optimal Section Combinations for Automated Novelty Prediction in Academic Papers
- High-Dimensional Private Linear Regression with Optimal Rates
- CLEAR: A Clinically-Grounded Tabular Framework for Radiology Report Evaluation
- From Prediction to Perfection: Introducing Refinement to Autoregressive Image Generation
- Efficient Motion Prompt Learning for Robust Visual Tracking
- Learning novel representations of variable sources from multi-modal textitGaia data via autoencoders
- FreshRetailNet-50K: A Stockout-Annotated Censored Demand Dataset for Latent Demand Recovery and Forecasting in Fresh Retail
- SuperPure: Efficient Purification of Localized and Distributed Adversarial Patches via Super-Resolution GAN Models
- NTIRE 2025 challenge on Text to Image Generation Model Quality Assessment
- Accelerating Targeted Hard-Label Adversarial Attacks in Low-Query Black-Box Settings
- Generator-Mediated Bandits: Thompson Sampling for GenAI-Powered Adaptive Interventions
- Paired and Unpaired Image to Image Translation using Generative Adversarial Networks
- Beyond All-to-All: Causal-Aligned Transformer with Dynamic Structure Learning for Multivariate Time Series Forecasting
- PMPO: Probabilistic Metric Prompt Optimization for Small and Large Language Models
- Layer-wise Investigation of Large-Scale Self-Supervised Music Representation Models
- Large-Scale Bayesian Tensor Reconstruction via Approximate Message Passing
- INFERENCEDYNAMICS: Efficient Routing Across LLMs through Structured Capability and Knowledge Profiling
- Artificial Intelligence for Direct Prediction of Molecular Dynamics Across Chemical Space
- Self-Classification Enhancement and Correction for Weakly Supervised Object Detection
- Fairness under Competition
- Multimodal Generative AI for Story Point Estimation in Software Development
- Only Large Weights (And Not Skip Connections) Can Prevent the Perils of Rank Collapse
- Efficient Prototype Consistency Learning in Medical Image Segmentation via Joint Uncertainty and Data Augmentation
- MM-MovieDubber: Towards Multi-Modal Learning for Multi-Modal Movie Dubbing
- Spontaneous Speech Variables for Evaluating LLMs Cognitive Plausibility
- How do Scaling Laws Apply to Knowledge Graph Engineering Tasks? The Impact of Model Size on Large Language Model Performance
- Transformer Copilot: Learning from The Mistake Log in LLM Fine-tuning
- LINEA: Fast and Accurate Line Detection Using Scalable Transformers
- All You Need is "Leet": Evading Hate-speech Detection AI
- Small-to-Large Generalization: Data Influences Models Consistently Across Scale
- Dialogue in Resonance: An Interactive Music Piece for Piano and Real-Time Automatic Transcription System
- Higher-Order Asymptotics of Test-Time Adaptation for Batch Normalization Statistics
- DualComp: End-to-End Learning of a Unified Dual-Modality Lossless Compressor
- Swin Transformer for Robust CGI Images Detection: Intra- and Inter-Dataset Analysis across Multiple Color Spaces
- Graph-Smoothed Bayesian Black-Box Shift Estimator and Its Information Geometry
- Manipulating Elasto-Plastic Objects With 3D Occupancy and Learning-Based Predictive Control
- Graph Neural Network-Based Collaborative Perception for Adaptive Scheduling in Distributed Systems
- Diverse, not Short: A Length-Controlled Data Selection Strategy for Improving Response Diversity of Language Models
- Generalized Power Priors for Improved Bayesian Inference with Historical Data
- MuseScorer: Idea Originality Scoring At Scale
- CT-Agent: A Multimodal-LLM Agent for 3D CT Radiology Question Answering
- A Shape-Aware Total Body Photography System for In-focus Surface Coverage Optimization
- Explain Less, Understand More: Data-Efficient Personalization of Reader-Dependent Jargons
- Realistic Evaluation of TabPFN v2 in Open Environments
- MAPLE: Many-Shot Adaptive Pseudo-Labeling for In-Context Learning
- MADCluster: Model-agnostic Anomaly Detection with Self-supervised Clustering Network
- Don't Judge Code by Its Cover: Exploring Biases in LLM Judges for Code Evaluation
- LightRouter: Towards Efficient LLM Collaboration with Minimal Overhead
- Meta-PerSER: Few-Shot Listener Personalized Speech Emotion Recognition via Meta-learning
- A Scalable Hierarchical Intrusion Detection System for Internet of Vehicles
- Large Language Models based ASR Error Correction for Child Conversations
- AudioTrust: Benchmarking the Multifaceted Trustworthiness of Audio Large Language Models
- MedCFVQA: A Causal Approach to Mitigate Modality Preference Bias in Medical Visual Question Answering
- Using Echo-State Networks to Reproduce Rare Events in Chaotic Systems
- Directional Convergence, Benign Overfitting of Gradient Descent in leaky ReLU two-layer Neural Networks
- Velocity Completion Task and Method for Event-based Player Positional Data in Soccer
- SEM: Enhancing Spatial Understanding for Robust Robot Manipulation
- SpecMaskFoley: Steering Pretrained Spectral Masked Generative Transformer Toward Synchronized Video-to-audio Synthesis via ControlNet
- Enhancing Federated Survival Analysis through Peer-Driven Client Reputation in Healthcare
- The Language of Interoception: Examining Embodiment and Emotion Through a Corpus of Body Part Mentions
- EasyInsert: A Data-Efficient and Generalizable Insertion Policy
- Understanding Generative AI Capabilities in Everyday Image Editing Tasks
- Redemption Score: A Multi-Modal Evaluation Framework for Image Captioning via Distributional, Perceptual, and Linguistic Signal Triangulation
- Understanding Fact Recall in Language Models: Why Two-Stage Training Encourages Memorization but Mixed Training Teaches Knowledge
- Generative Latent Coding for Ultra-Low Bitrate Image and Video Compression
- QuickVideo: Real-Time Long Video Understanding with System Algorithm Co-Design
- Automated Feedback Loops to Protect Text Simplification with Generative AI from Information Loss
- When Do LLMs Admit Their Mistakes? Understanding The Role Of Model Belief In Retraction
- RE-TRIP : Reflectivity Instance Augmented Triangle Descriptor for 3D Place Recognition
- Can LLMs Simulate Human Behavioral Variability? A Case Study in the Phonemic Fluency Task
- Deep Learning-Driven Ultra-High-Definition Image Restoration: A Survey
- EduBench: A Comprehensive Benchmarking Dataset for Evaluating Large Language Models in Diverse Educational Scenarios
- Why Can Accurate Models Be Learned from Inaccurate Annotations?
- Fast and Accurate Image Restoration and Generation with Rank Enhanced Linear Attention
- Integral Imprecise Probability Metrics
- BadDepth: Backdoor Attacks Against Monocular Depth Estimation in the Physical World
- Compressing Human Body Video with Interactive Semantics: A Generative Approach
- NAN: A Training-Free Solution to Coefficient Estimation in Model Merging
- Exponential Convergence of CAVI for Bayesian PCA
- GMatch: A Lightweight, Geometry-Constrained Keypoint Matcher for Zero-Shot 6DoF Pose Estimation in Robotic Grasp Tasks
- Multimodal Online Federated Learning with Modality Missing in Internet of Things
- Interpretable Machine Learning for Macro Alpha: A News Sentiment Case Study
- Beyond Early-Token Bias: Model-Specific and Language-Specific Position Effects in Multilingual LLMs
- Machine Learning the 6d Supergravity Landscape
- Generative Graph Pattern Machine
- Robust Invariant Representation Learning by Distribution Extrapolation
- KoBALT: Korean Benchmark For Advanced Linguistic Tasks
- Semiotic Reconstruction of Destination Expectation Constructs An LLM-Driven Computational Paradigm for Social Media Tourism Analytics
- A Generic Framework for Conformal Fairness
- MPL: Multiple Programming Languages with Large Language Models for Information Extraction
- Towards Trustworthy Keylogger detection: A Comprehensive Analysis of Ensemble Techniques and Feature Selections through Explainable AI
- Dimension-adapted Momentum Outscales SGD
- Developing Large Language Models for Clinical Research Using One Million Clinical Trials
- A Survey of Large Language Models for Text-Guided Molecular Discovery: from Molecule Generation to Optimization
- Can AI Read Between The Lines? Benchmarking LLMs On Financial Nuance