Papers
Wed 28 May 2025
594 papers
- Contraction-Aware Reinforcement Learning for Nonlinear Control with Statistical RobustnessDeep reinforcement learning methods → RL for robot locomotion and manipulation
- BLUR: A Benchmark for LLM Unlearning Robust to Forget-Retain OverlapLLM safety and security → Machine unlearning
- SimuGen: Multi-modal Agentic Framework for Constructing Block Diagram-Based Simulation ModelsLLM reasoning → Reasoning for agents, planning and code +1
- PALADIN : Robust Neural Fingerprinting for Text-to-Image Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects
- Do You See Me : A Multidimensional Benchmark for Evaluating Visual Perception in Multimodal LLMsLLM reasoning → Multimodal reasoning +1
- Improve Multi-Modal Embedding Learning via Explicit Hard Negative Gradient AmplifyingMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- ChatCFD: An LLM-Driven Agent for End-to-End CFD Automation with Structured Knowledge and ReasoningLLM reasoning → Spatial and embodied reasoning +1
- Enhancing Paraphrase Type Generation: The Impact of DPO and RLHF Evaluated with Human-Ranked DataLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- OSPO: Object-Centric Self-Improving Preference Optimization for Text-to-Image GenerationMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +2
- Retrieval-Augmented Generation: A Comprehensive Survey of Architectures, Enhancements, and Robustness FrontiersRetrieval-augmented generation → RAG robustness and adaptive retrieval
- Rethinking Hybrid Retrieval: When Small Embeddings and LLM Re-ranking Beat Bigger ModelsLLM reasoning → Knowledge- and tool-augmented reasoning +1
- ACE-Step: A Step Towards Music Generation Foundation ModelDiffusion models → Audio, speech and music
- Enhancing Tool Learning in Large Language Models with Hierarchical Error ChecklistsLLM agents and tool use → Tool learning and function calling
- Decoding Dense Embeddings: Sparse Autoencoders for Interpreting and Discretizing Dense RetrievalMechanistic interpretability → SAE features and their applications
- Derailing Non-Answers via Logit Suppression at Output Subspace Boundaries in RLHF-Aligned Language ModelsLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks
- Seven Security Challenges in Cross-domain Multi-agent LLM SystemsLLM agents and tool use → Agent threats, guardrails and governance
- Read Your Own Mind: Reasoning Helps Surface Self-Confidence Signals in LLMsLLM reasoning → Test-time compute and efficient thinking
- Evaluation Hallucination in Multi-Round Incomplete Information Lateral-Driven Reasoning TasksLLM reasoning → Reasoning benchmarks and evaluation
- SkewRoute: Training-Free LLM Routing for Knowledge Graph Retrieval-Augmented Generation via Score Skewness of Retrieved ContextRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- GeneBreaker: Jailbreak Attacks against DNA Language Models with Pathogenicity GuidanceLLM safety and security → Jailbreaking
- CoMaPOI: A Collaborative Multi-Agent Framework for Next POI Prediction Bridging the Gap Between Trajectory and LanguageLLM agents and tool use → Multimodal and embodied agents
- Benchmarking Abstract and Reasoning Abilities Through A Theoretical PerspectiveLLM reasoning → Reasoning benchmarks and evaluation
- EvoMoE: Expert Evolution in Mixture of Experts for Multimodal Large Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
- Reviewing Scientific Papers for Critical Problems With Reasoning LLMs: Baseline Approaches and Automatic EvaluationLLM reasoning → Knowledge- and tool-augmented reasoning
- NegVQA: Can Vision Language Models Understand Negation?Multimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- WorkForceAgent-R1: Incentivizing Reasoning Capability in LLM-based Web Agents via Reinforcement LearningLLM reasoning → Reasoning for agents, planning and code +1
- Is Noise Conditioning Necessary? A Unified Theory of Unconditional Graph Diffusion ModelsDiffusion models → Flow matching, time series and science
- Enhancing Study-Level Inference from Clinical Trial Papers via Reinforcement Learning-Based Numeric ReasoningLLM reasoning → Clinical and biomedical applications
- Leveraging Diffusion Models for Synthetic Data Augmentation in Protein Subcellular Localization ClassificationDiffusion models → Flow matching, time series and science
- Plug-and-Play Posterior Sampling for Blind Inverse ProblemsDiffusion models → Inverse problems and image restoration
- ER-Reason: A Benchmark Dataset for LLM Clinical Reasoning in the Emergency RoomLLM reasoning → Clinical and biomedical applications
- Re-ttention: Ultra Sparse Visual Generation via Attention Statistical ReshapeDiffusion models → Video generation
- cadrille: Multi-modal CAD Reconstruction with Reinforcement LearningDeep reinforcement learning methods → RL with diffusion and flow models
- Mustafar: Promoting Unstructured Sparsity for KV Cache Pruning in LLM InferenceEfficient LLM inference and serving → KV cache optimization
- Learning to Charge More: A Theoretical Study of Collusion by Q-Learning AgentsDeep reinforcement learning methods → Adversarial robustness and RL in finance
- VIGNETTE: Socially Grounded Bias Evaluation for Vision-Language ModelsMultimodal LLMs / vision-language models → Social bias and fairness in VLMs
- When Models Reason in Your Language: Controlling Thinking Language Comes at the Cost of AccuracyLLM reasoning → Reasoning benchmarks and evaluation
- Scaling Offline RL via Efficient and Expressive Shortcut ModelsOffline RL and imitation learning from data → Offline RL algorithms
- BinauralFlow: A Causal and Streamable Approach for High-Quality Binaural Speech Synthesis with Flow Matching ModelsDiffusion models → Audio, speech and music
- Operationalizing CaMeL: Strengthening LLM Defenses for Enterprise DeploymentLLM safety and security → Prompt injection and agent security
- RocqStar: Leveraging Similarity-driven Retrieval and Agentic Systems for Rocq generationLLM agents and tool use → Educational agents and math problem solving
- Kernel-Smoothed Scores for Denoising Diffusion: A Bias-Variance StudyDiffusion models → Diffusion foundations and sampling
- Demystifying Adversarial Robustness in Diffusion Models: Compression, Randomness, and GeometryDiffusion models → Robustness, privacy and adversarial aspects
- Preference Learning with Response Time: Robust Losses and GuaranteesLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- A Large Language Model-Enabled Control Architecture for Dynamic Resource Capability Exploration in Multi-Agent Manufacturing SystemsLLM agents and tool use → General LLM agent frameworks and benchmarks
- First Steps Towards Overhearing LLM Agents: A Case Study With Dungeons & Dragons GameplayLLM agents and tool use → Social simulation and multi-agent debate
- Anomalies by Synthesis: Anomaly Detection using Generative Diffusion Models for Off-Road NavigationDiffusion models → Flow matching, time series and science
- Evaluation of Cultural Competence of Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Rhetorical Text-to-Image Generation via Two-layer Diffusion Policy OptimizationDiffusion models → Image generation, text-to-image and editing
- Calibrated Value-Aware Model Learning with Probabilistic Environment ModelsDeep reinforcement learning methods → RL theory and sample complexity
- In Dialogue with Intelligence: Rethinking Large Language Models as Collective KnowledgeLLM reasoning → Reasoning benchmarks and evaluation
- Pre-Training Curriculum for Multi-Token Prediction in Language ModelsEfficient LLM inference and serving → Speculative decoding
- Decomposing Elements of Problem Solving: What "Math" Does RL Teach?LLM reasoning → Reinforcement learning for reasoning
- HiDream-I1: A High-Efficient Image Generative Foundation Model with Sparse Diffusion TransformerDiffusion models → Diffusion foundations and sampling +1
- Design and testing of an agent chatbot supporting decision making with public transport dataLLM agents and tool use → General LLM agent frameworks and benchmarks
- When Does Neuroevolution Outcompete Reinforcement Learning in Transfer Learning Tasks?Deep reinforcement learning methods → Deep RL algorithms and representations
- Zero-Shot Vision Encoder Grafting via LLM SurrogatesMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- AutoL2S: Auto Long-Short Reasoning for Efficient Large Language ModelsLLM reasoning → Test-time compute and efficient thinking
- GuessArena: Guess Who I Am? A Self-Adaptive Framework for Evaluating LLMs in Domain-Specific Knowledge and ReasoningLLM reasoning → Reasoning for agents, planning and code
- Maximizing Confidence Alone Improves ReasoningLLM reasoning → Reinforcement learning for reasoning
- Position: Uncertainty Quantification Needs Reassessment for Large-language Model AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- VScan: Rethinking Visual Token Reduction for Efficient Large Vision-Language ModelsLLM reasoning → Multimodal reasoning +2
- The Climb Carves Wisdom Deeper Than the Summit: On the Noisy Rewards in Learning to ReasonLLM reasoning → Reinforcement learning for reasoning +1
- Sherlock: Self-Correcting Reasoning in Vision-Language ModelsLLM reasoning → Multimodal reasoning +1
- On Learning Verifiers and Implications to Chain-of-Thought ReasoningLLM reasoning → Prompting and chain-of-thought reasoning
- Pre-training for Recommendation UnlearningLLM safety and security → Membership inference attacks
- WebDancer: Towards Autonomous Information Seeking AgencyLLM agents and tool use → Web, search, and research agents
- SPIRAL: Semantic-Aware Progressive LiDAR Scene Generation and UnderstandingWorld models → World modeling from LiDAR generation +1
- FastTD3: Simple, Fast, and Capable Reinforcement Learning for Humanoid ControlDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Understanding (Un)Reliability of Steering Vectors in Language ModelsMechanistic interpretability → Activation steering methods
- Learning Composable Chains-of-ThoughtLLM reasoning → Prompting and chain-of-thought reasoning
- Spatial Knowledge Graph-Guided Multimodal SynthesisMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- SCIZOR: A Self-Supervised Approach to Data Curation for Large-Scale Imitation LearningOffline RL and imitation learning from data → Robot manipulation imitation learning
- Fast-dLLM: Training-free Acceleration of Diffusion LLM by Enabling KV Cache and Parallel DecodingEfficient LLM inference and serving → Diffusion LLM and MoE inference
- The Entropy Mechanism of Reinforcement Learning for Reasoning Language ModelsLLM reasoning → Reinforcement learning for reasoning
- Machine Unlearning under OverparameterizationLLM safety and security → Machine unlearning
- SAM-R1: Leveraging SAM for Reward Feedback in Multimodal Segmentation via Reinforcement LearningLLM reasoning → Multimodal reasoning +1
- Self-Error-Instruct: Generalizing from Errors for LLMs Mathematical ReasoningLLM reasoning → Mathematical reasoning
- DocReRank: Single-Page Hard Negative Query Generation for Training Multi-Modal RAG RerankersRetrieval-augmented generation → Generation and context integration
- GitGoodBench: A Novel Benchmark For Evaluating Agentic Performance On GitLLM agents and tool use → Software engineering coding agents
- Less, but Better: Efficient Multilingual Expansion for LLMs via Layer-wise Mixture-of-ExpertsMixture-of-experts → MoE large language models
- Fusion Steering: Prompt-Specific Activation ControlMechanistic interpretability → Activation steering methods
- Agent-UniRAG: A Trainable Open-Source LLM Agent Framework for Unified Retrieval-Augmented Generation SystemsRetrieval-augmented generation → Agentic RAG, agents and memory +1
- ImageReFL: Balancing Quality and Diversity in Human-Aligned Diffusion ModelsDiffusion models → Diffusion and flow policies for robotics +1
- Do Large Language Models Think Like the Brain? Sentence-Level Evidences from Layer-Wise Embeddings and fMRILLM reasoning → Reasoning benchmarks and evaluation
- ClaimPKG: Enhancing Claim Verification via Pseudo-Subgraph Generation with Lightweight Specialized LLMLLM reasoning → Knowledge- and tool-augmented reasoning
- Emotion-o1: Adaptive Long Reasoning for Emotion Understanding in LLMsLLM reasoning → Audio-language model reasoning
- Scaling-up Perceptual Video Quality AssessmentMultimodal LLMs / vision-language models → Image editing and quality assessment
- TabularQGAN: A quantum generative model for tabular data synthesisSynthetic data and self-improvement for LLMs → Privacy-preserving tabular data synthesis
- Thinking with Generated ImagesLLM reasoning → Multimodal reasoning +1
- Inference-Time Scaling of Discrete Diffusion Models via Importance Weighting and Optimal Proposal DesignLLM reasoning → Diffusion reasoning and test-time scaling +1
- Multi-MLLM Knowledge Distillation for Out-of-Context News DetectionKnowledge distillation → Knowledge distillation for LLMs
- Surf2CT: Cascaded 3D Flow Matching Models for Torso 3D CT Synthesis from Skin SurfaceDiffusion models → Medical imaging and segmentation
- Sparsification and Reconstruction from the Perspective of Representation GeometryMechanistic interpretability → Sparse autoencoder training and evaluation
- Communication-Efficient Desire Alignment for Embodied Agent-Human AdaptationLLM agents and tool use → General LLM agent frameworks and benchmarks
- EvolveSearch: An Iterative Self-Evolving Search AgentLLM agents and tool use → Web, search, and research agents +1
- Demystifying the Paradox of Importance Sampling with an Estimated History-Dependent Behavior Policy in Off-Policy EvaluationDeep reinforcement learning methods → RL theory and sample complexity
- Cascaded 3D Diffusion Models for Whole-body 3D 18-F FDG PET/CT synthesis from DemographicsDiffusion models → Medical imaging and segmentation
- Topological Structure Learning Should Be A Research Priority for LLM-Based Multi-Agent SystemsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Fostering Video Reasoning via Next-Event PredictionLLM reasoning → Multimodal reasoning
All 594
- First SFT, Second RL, Third UPT: Continual Improving Multi-Modal LLM Reasoning via Unsupervised Post-TrainingLLM reasoning → Reinforcement learning for reasoning +1
- AI Mathematician: Towards Fully Automated Frontier Mathematical ResearchLLM reasoning → Mathematical reasoning
- Fully Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
- RAG-Zeval: Towards Robust and Interpretable Evaluation on RAG Responses through End-to-End Rule-Guided ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning +1
- Zero-Shot 3D Visual Grounding from Vision-Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Scaling Reasoning without AttentionLLM reasoning → Test-time compute and efficient thinking
- GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action ControlWorld models → World models for autonomous driving +1
- Mitigating Overthinking in Large Reasoning Models via Manifold SteeringLLM reasoning → Test-time compute and efficient thinking
- Self-Reflective Reinforcement Learning for Diffusion-based Image Reasoning GenerationLLM reasoning → Multimodal reasoning +1
- Zooming from Context to Cue: Hierarchical Preference Optimization for Multi-Image MLLMsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
- Physics-Informed Distillation of Diffusion Models for PDE-Constrained GenerationDiffusion models → Flow matching, time series and science
- Pangu Embedded: An Efficient Dual-system LLM Reasoner with MetacognitionLLM reasoning → Reinforcement learning for reasoning
- AgentDNS: A Root Domain Naming System for LLM AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Text2Grad: Reinforcement Learning from Natural Language FeedbackLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF +1
- Advancing Multimodal Reasoning via Reinforcement Learning with Cold StartLLM reasoning → Multimodal reasoning
- Advancing Expert Specialization for Better MoEMixture-of-experts → MoE large language models
- A Closer Look on Memorization in Tabular Diffusion Model: A Data-Centric PerspectiveDiffusion models → Diffusion foundations and sampling
- Flying Pigs, FaR and Beyond: Evaluating LLM Reasoning in Counterfactual WorldsLLM reasoning → Reasoning benchmarks and evaluation
- Skywork Open Reasoner 1 Technical ReportLLM reasoning → Reasoning benchmarks and evaluation
- From Large AI Models to Agentic AI: A Tutorial on Future Intelligent CommunicationsLLM agents and tool use → Agentic AI for wireless networks
- From Dormant to Deleted: Tamper-Resistant Unlearning Through Weight-Space RegularizationLLM safety and security → Machine unlearning
- Transformers Pretrained on Procedural Data Contain Modular Structures for Algorithmic ReasoningLLM reasoning → Reasoning benchmarks and evaluation
- Versatile Cardiovascular Signal Generation with a Unified Diffusion TransformerDiffusion models → Medical imaging and segmentation
- IKIWISI: An Interactive Visual Pattern Generator for Evaluating the Reliability of Vision-Language Models Without Ground TruthMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Voice CMS: updating the knowledge base of a digital assistant through conversationLLM agents and tool use → General LLM agent frameworks and benchmarks
- Adaptive Detoxification: Safeguarding General Capabilities of LLMs through Toxicity-Aware Knowledge EditingLLM safety and security → Safety alignment, refusal and guardrails
- Compensating for Data with Reasoning: Low-Resource Machine Translation with LLMsLLM reasoning → Reasoning benchmarks and evaluation
- Rethinking the Unsolvable: When In-Context Search Meets Test-Time ScalingLLM reasoning → Test-time compute and efficient thinking
- Test-Time Immunization: A Universal Defense Framework Against Jailbreaks for (Multimodal) Large Language ModelsLLM safety and security → Jailbreaking
- Revisiting Group Relative Policy Optimization: Insights into On-Policy and Off-Policy TrainingLLM reasoning → Reinforcement learning for reasoning
- Kronecker Factorization Improves Efficiency and Interpretability of Sparse AutoencodersMechanistic interpretability → SAE features and their applications
- StateSpaceDiffuser: Bringing Long Context to Diffusion World ModelsWorld models → Video-generation world models and simulators +1
- BioHopR: A Benchmark for Multi-Hop, Multi-Answer Reasoning in Biomedical DomainLLM reasoning → Clinical and biomedical applications
- Look & Mark: Leveraging Radiologist Eye Fixations and Bounding boxes in Multimodal Large Language Models for Chest X-ray Report GenerationMultimodal LLMs / vision-language models → Medical vision-language models
- From Accuracy to Robustness: A Study of Rule- and Model-based Verifiers in Mathematical ReasoningLLM reasoning → Reinforcement learning for reasoning
- Latent Reasoning via Sentence Embedding PredictionLLM reasoning → Test-time compute and efficient thinking
- Investigating Mechanisms for In-Context Vision Language BindingMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Physics-inspired Generative AI models via real hardware-based noisy quantum diffusionDiffusion models → Diffusion foundations and sampling
- Efficient Leave-one-out Approximation in LLM Multi-agent Debate Based on IntrospectionLLM agents and tool use → Social simulation and multi-agent debate
- Speculative Decoding Meets Quantization: Compatibility Evaluation and Hierarchical Framework DesignEfficient LLM inference and serving → Speculative decoding
- Reverse Preference Optimization for Complex Instruction FollowingLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion TransformersDiffusion models → Diffusion foundations and sampling
- Unifying Continuous and Discrete Text Diffusion with Non-simultaneous Diffusion ProcessesDiffusion models → Discrete and text diffusion
- ForceVLA: Enhancing VLA Models with a Force-aware MoE for Contact-rich ManipulationVision-language-action models → Tactile, force-aware and humanoid VLA +1
- Oryx: a Scalable Sequence Model for Many-Agent Coordination in Offline MARLOffline RL and imitation learning from data → Offline multi-agent RL
- What Makes a Good Reasoning Chain? Uncovering Structural Patterns in Long Chain-of-Thought ReasoningLLM reasoning → Prompting and chain-of-thought reasoning
- 3D Question Answering via only 2D Vision-Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Limited Generalizability in Argument Mining: State-Of-The-Art Models Learn Datasets, Not ArgumentsLLM reasoning → Reasoning for agents, planning and code
- RAD: Redundancy-Aware Distillation for Hybrid Models via Self-Speculative DecodingEfficient LLM inference and serving → Early exit and edge inference +1
- Enhancing Long-Chain Reasoning Distillation through Error-Aware Self-ReflectionLLM reasoning → Prompting and chain-of-thought reasoning +1
- What Makes for Text to 360-degree Panorama Generation with Stable Diffusion?Diffusion models → 3D, point cloud and scene generation
- THINK-Bench: Evaluating Thinking Efficiency and Chain-of-Thought Quality of Large Reasoning ModelsLLM reasoning → Test-time compute and efficient thinking
- Autoregression-free video prediction using diffusion model for mitigating error propagationDiffusion models → Video generation
- AudioTurbo: Fast Text-to-Audio Generation with Rectified DiffusionDiffusion models → Audio, speech and music
- Mixture-of-Retrieval Experts for Reasoning-Guided Multimodal Knowledge ExploitationLLM reasoning → Multimodal reasoning +2
- ReinFlow: Fine-tuning Flow Matching Policy with Online Reinforcement LearningDiffusion models → Diffusion and flow policies for robotics +1
- VIRAL: Vision-grounded Integration for Reward design And LearningLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- High Volume Rate 3D Ultrasound Reconstruction with Diffusion ModelsDiffusion models → Medical imaging and segmentation
- On-the-fly Routing for Zero-shot MoE Speaker Adaptation of Speech Foundation Models for Dysarthric Speech RecognitionMixture-of-experts → Multimodal MoE models
- Delayed-KD: Delayed Knowledge Distillation based CTC for Low-Latency Streaming ASRKnowledge distillation → Speech and audio distillation
- Beyond path selection: Better LLMs for Scientific Information Extraction with MimicSFT and Relevance and Rule-induced(R2)GRPOLLM reasoning → Knowledge- and tool-augmented reasoning
- From Failures to Fixes: LLM-Driven Scenario Repair for Self-Evolving Autonomous DrivingSynthetic data and self-improvement for LLMs → Self-evolving LLM agents
- Safeguarding Privacy of Retrieval Data against Membership Inference Attacks: Is This Query Too Close to Home?Retrieval-augmented generation → Privacy and security of RAG +1
- AudioGenie: A Training-Free Multi-Agent Framework for Diverse Multimodality-to-Multiaudio GenerationMixture-of-experts → Multimodal MoE models
- Reinforced Reasoning for Embodied PlanningLLM reasoning → Spatial and embodied reasoning
- Detecting Undesired Process Behavior by Means of Retrieval Augmented GenerationRetrieval-augmented generation → RAG for code
- OmniAD: Detect and Understand Industrial Anomaly via Multimodal ReasoningLLM reasoning → Chain-of-thought reasoning for driving
- Balanced Token Pruning: Accelerating Vision Language Models Beyond Local OptimizationMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- Jailbreak Distillation: Renewable Safety BenchmarkingLLM safety and security → Jailbreaking
- Analysis and Evaluation of Synthetic Data Generation in Speech Dysfluency DetectionSynthetic data and self-improvement for LLMs → LLM synthetic data generation
- Improving Respiratory Sound Classification with Architecture-Agnostic Knowledge Distillation from EnsemblesKnowledge distillation → Speech and audio distillation
- VRAG-RL: Empower Vision-Perception-Based RAG for Visually Rich Information Understanding via Iterative Reasoning with Reinforcement LearningRetrieval-augmented generation → Multimodal RAG
- The Price of a Second Thought: On the Evaluation of Reasoning Efficiency in Large Language ModelsLLM reasoning → Test-time compute and efficient thinking
- Align-DA: Align Score-based Atmospheric Data Assimilation with Multiple PreferencesDiffusion models → Flow matching, time series and science +1
- Efficiently Enhancing General Agents With Hierarchical-categorical MemoryLLM agents and tool use → Agent memory systems
- D-Fusion: Direct Preference Optimization for Aligning Diffusion Models with Visually Consistent SamplesDiffusion models → Diffusion and flow policies for robotics +1
- Collaborative Learning for Unsupervised Multimodal Remote Sensing Image Registration: Integrating Self-Supervision and MIM-Guided Diffusion-Based Image TranslationDiffusion models → Inverse problems and image restoration
- VRAG: Learning World Models for Interactive Video GenerationWorld models → Video-generation world models and simulators +1
- Learning Compositional Behaviors from Demonstration and LanguageOffline RL and imitation learning from data → Robot manipulation imitation learning
- Pearl: A Multimodal Culturally-Aware Arabic Instruction DatasetMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Two-Stage Feature Generation with Transformer and Reinforcement LearningDeep reinforcement learning methods → RL with diffusion and flow models
- DvD: Unleashing a Generative Paradigm for Document Dewarping via Coordinates-based Diffusion ModelDiffusion models → Image generation, text-to-image and editing
- DORAEMON: Decentralized Ontology-aware Reliable Agent with Enhanced Memory Oriented NavigationLLM agents and tool use → Multimodal and embodied agents
- Seeing the Threat: Vulnerabilities in Vision-Language Models to Adversarial AttackMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- MapStory: Prototyping Editable Map Animations with LLM AgentsLLM agents and tool use → Multimodal and embodied agents
- UI-Evol: Automatic Knowledge Evolving for Computer Use AgentsLLM agents and tool use → GUI and mobile agents
- LaMDAgent: An Autonomous Framework for Post-Training Pipeline Optimization via LLM AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- A2Seek: Towards Reasoning-Centric Benchmark for Aerial Anomaly UnderstandingLLM reasoning → Spatial and embodied reasoning
- One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- Cross-modal RAG: Sub-dimensional Text-to-Image Retrieval-Augmented GenerationRetrieval-augmented generation → Multimodal RAG
- Towards Comprehensive Scene Understanding: Integrating First and Third-Person Views for LVLMsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Test-Time Scaling with Repeated Sampling Improves Multilingual Text GenerationLLM reasoning → Test-time compute and efficient thinking
- RISE: Reasoning Enhancement via Iterative Self-Exploration in Multi-hop Question AnsweringLLM reasoning → Knowledge- and tool-augmented reasoning
- RedTeamCUA: Realistic Adversarial Testing of Computer-Use Agents in Hybrid Web-OS EnvironmentsLLM agents and tool use → Agent threats, guardrails and governance +1
- From Reasoning to Learning: A Survey on Hypothesis Discovery and Rule Learning with Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
- Towards Efficient Key-Value Cache Management for Prefix Prefilling in LLM InferenceEfficient LLM inference and serving → KV cache optimization
- Reinforcement Learning for Out-of-Distribution Reasoning in LLMs: An Empirical Study on Diagnosis-Related Group CodingLLM reasoning → Clinical and biomedical applications
- Modeling and Optimizing User Preferences in AI Copilots: A Comprehensive Survey and TaxonomyLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- ChatVLA-2: Vision-Language-Action Model with Open-World Embodied Reasoning from Pretrained KnowledgeLLM reasoning → Spatial and embodied reasoning +1
- Reference-Guided Identity Preserving Face RestorationDiffusion models → Inverse problems and image restoration
- CAST: Contrastive Adaptation and Distillation for Semi-Supervised Instance SegmentationKnowledge distillation → Detection and dense prediction distillation
- Co-Saving: Resource Aware Multi-Agent Collaboration for Software DevelopmentLLM agents and tool use → General LLM agent frameworks and benchmarks
- SIPO: Stabilized and Improved Preference Optimization for Aligning Diffusion ModelsDiffusion models → Diffusion and flow policies for robotics +1
- Almost Linear Convergence under Minimal Score Assumptions: Quantized Transition DiffusionDiffusion models → Diffusion foundations and sampling
- EFIM: Efficient Serving of LLMs for Infilling Tasks with Improved KV Cache ReuseEfficient LLM inference and serving → KV cache optimization
- EPiC: Efficient Video Camera Control Learning with Precise Anchor-Video GuidanceDiffusion models → Video generation
- Targeted Unlearning Using Perturbed Sign Gradient Methods With Applications On Medical ImagesLLM safety and security → Machine unlearning
- Evaluating the Retrieval Robustness of Large Language ModelsRetrieval-augmented generation → RAG robustness and adaptive retrieval
- A Provable Approach for End-to-End Safe Reinforcement LearningDeep reinforcement learning methods → Safe and constrained RL
- Streaming Flow Policy: Simplifying diffusion/flow-matching policies by treating action trajectories as flow trajectoriesDiffusion models → Diffusion and flow policies for robotics +1
- Beyond Perception: Evaluating Abstract Visual Reasoning through Multi-Stage TaskLLM reasoning → Multimodal reasoning +1
- FPAN: Mitigating Replication in Diffusion Models through the Fine-Grained Probabilistic Addition of Noise to Token EmbeddingsDiffusion models → Diffusion foundations and sampling
- Test-Time Adaptation of Vision-Language Models for Open-Vocabulary Semantic SegmentationMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- An Optimistic Algorithm for online CMDPS with Anytime Adversarial ConstraintsDeep reinforcement learning methods → RL theory and sample complexity
- MAIA: A Collaborative Medical AI Platform for Integrated Healthcare Innovation
- Global Context-aware Representation Learning for Spatially Resolved Transcriptomics
- DeepRTL2: A Versatile Model for RTL-Related Tasks
- CoC: Chain-of-Cancer based on Cross-Modal Autoregressive Traction for Survival Prediction
- SemIRNet: A Semantic Irony Recognition Network for Multimodal Sarcasm Detection
- Continuous Evolution Pool: Taming Recurring Concept Drift in Online Time Series Forecasting
- GUST: Quantifying Free-Form Geometric Uncertainty of Metamaterials Using Small Data
- Identifying critical residues of a protein using meaningfully-thresholded Random Geometric Graphs
- NOCL: Node-Oriented Conceptualization LLM for Graph Tasks without Message Passing
- Contextual Memory Intelligence -- A Foundational Paradigm for Human-AI Collaboration and Reflective Generative AI Systems
- MR.NAVI: Mixed-Reality Navigation Assistant for the Visually Impaired
- Speaking images. A novel framework for the automated self-description of artworks
- Triple Attention Transformer Architecture for Time-Dependent Concrete Creep Prediction
- Improving Out-of-Distribution Detection with Markov Logic Networks
- EdgeVidSum: Real-Time Personalized Video Summarization at the Edge
- Improvement of human health lifespan with hybrid group pose estimation methods
- Farm-LightSeek: An Edge-centric Multimodal Agricultural IoT Data Analytics Framework with Lightweight LLMs
- Distributionally Robust Wireless Semantic Communication with Large AI Models
- DistMLIP: A Distributed Inference Platform for Machine Learning Interatomic Potentials
- Dynamic-Aware Video Distillation: Optimizing Temporal Resolution Based on Video Semantics
- Fairness through Feedback: Addressing Algorithmic Misgendering in Automatic Gender Recognition
- Are classical deep neural networks weakly adversarially robust?
- Research on Driving Scenario Technology Based on Multimodal Large Lauguage Model Optimization
- Improving statistical learning methods via features selection without replacement sampling and random projection
- Using LLMs to Advance the Cognitive Science of Collectives
- Graph Contrastive Learning for Optimizing Sparse Data in Recommender Systems with LightGCL
- Risks of AI-driven product development and strategies for their mitigation
- Probabilistic intraday electricity price forecasting using generative machine learning
- From Motion to Behavior: Hierarchical Modeling of Humanoid Generative Behavior Control
- ASyMOB: Algebraic Symbolic Mathematical Operations Benchmark
- CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning
- Scalable, Symbiotic, AI and Non-AI Agent Based Parallel Discrete Event Simulations
- Enabling Flexible Multi-LLM Integration for Scalable Knowledge Aggregation
- Fair Document Valuation in LLM Summaries via Shapley Values
- Measuring Sycophancy of Language Models in Multi-turn Dialogues
- Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities
- Large Language Models Often Know When They Are Being Evaluated
- Say What You Mean: Natural Language Access Control with Large Language Models for Internet of Things
- Patient-Aware Feature Alignment for Robust Lung Sound Classification:Cohesion-Separation and Global Alignment Losses
- LegalSearchLM: Rethinking Legal Case Retrieval as Legal Elements Generation
- ICH-Qwen: A Large Language Model Towards Chinese Intangible Cultural Heritage
- BiasFilter: An Inference-Time Debiasing Framework for Large Language Models
- ValueSim: Generating Backstories to Model Individual Value Systems
- RAGPPI: RAG Benchmark for Protein-Protein Interactions in Drug Discovery
- Speech as a Multimodal Digital Phenotype for Multi-Task LLM-based Mental Health Prediction
- Arbiters of Ambivalence: Challenges of Using LLMs in No-Consensus Tasks
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- ATI: Any Trajectory Instruction for Controllable Video Generation
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- Generative Social Choice: The Next Generation
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- Unraveling LoRA Interference: Orthogonal Subspaces for Robust Model Merging
- Scalable Parameter and Memory Efficient Pretraining for LLM: Recent Algorithmic Advances and Benchmarking
- Structured Memory Mechanisms for Stable Context Representation in Large Language Models
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- Learning Hierarchical Sparse Transform Coding for 3DGS Compression
- Conversational Alignment with Artificial Intelligence in Context
- HiLDe: Intentional Code Generation via Human-in-the-Loop Decoding
- Defining Foundation Models for Computational Science: A Call for Clarity and Rigor
- On the Dynamic Regret of Following the Regularized Leader: Optimism with History Pruning
- Local Stability and Region of Attraction Analysis for Neural Network Feedback Systems under Positivity Constraints
- Smart Surrogate Losses for Contextual Stochastic Linear Optimization with Robust Constraints
- Semantic Exploration and Dense Mapping of Complex Environments using Ground Robot with Panoramic LiDAR-Camera Fusion
- BugWhisperer: Fine-Tuning LLMs for SoC Hardware Vulnerability Detection
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- The WHY in Business Processes: Unification of Causal Process Models
- CFP-Gen: Combinatorial Functional Protein Generation via Diffusion Language Models
- CrossNAS: A Cross-Layer Neural Architecture Search Framework for PIM Systems
- GateNLP at SemEval-2025 Task 10: Hierarchical Three-Step Prompting for Multilingual Narrative Classification
- Large Language Models for Depression Recognition in Spoken Language Integrating Psychological Knowledge
- Causal-PIK: Causality-based Physical Reasoning with a Physics-Informed Kernel
- Permissioned LLMs: Enforcing Access Control in Large Language Models
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- NGPU-LM: GPU-Accelerated N-Gram Language Model for Context-Biasing in Greedy ASR Decoding
- IRS: Incremental Relationship-guided Segmentation for Digital Pathology
- CLIPGaussian: Universal and Multimodal Style Transfer Based on Gaussian Splatting
- What is the Right Embedding Space for Contrastive Learning in Referring Expression Counting?
- LiTEx: A Linguistic Taxonomy of Explanations for Understanding Within-Label Variation in Natural Language Inference
- "That's another doom I haven't thought about": A User Study on AI Labels as a Safeguard Against Image-Based Misinformation
- On the Reliability and Stability of Selective Methods in Malware Classification Tasks
- Bayesian Attention Mechanism: A Probabilistic Framework for Positional Encoding and Context Length Extrapolation
- Development and Validation of SXI++ LNM Algorithm for Sepsis Prediction
- Orca: Browsing at Scale Through User-Driven and AI-Facilitated Orchestration Across Malleable Webpages
- What Has Been Lost with Synthetic Evaluation?
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- PGLearn -- An Open-Source Learning Toolkit for Optimal Power Flow
- Self-Critique and Refinement for Faithful Natural Language Explanations
- A Tool for Generating Exceptional Behavior Tests With Large Language Models
- IMTS is Worth Time × Channel Patches: Visual Masked Autoencoders for Irregular Multivariate Time Series Prediction
- X-Factor: Quality Is a Dataset-Intrinsic Property
- Highly Efficient and Effective LLMs with Multi-Boolean Architectures
- VidText: Towards Comprehensive Evaluation for Video Text Understanding
- Distribution free M-estimation
- CLUE: Neural Networks Calibration via Learning Uncertainty-Error alignment
- Towards a More Generalized Approach in Open Relation Extraction
- Efficient Preimage Approximation for Neural Network Certification
- Fast Trajectory-Independent Model-Based Reconstruction Algorithm for Multi-Dimensional Magnetic Particle Imaging
- Can Large Language Models Match the Conclusions of Systematic Reviews?
- Navigating the Latent Space Dynamics of Neural Models
- Temporal Convolutional Autoencoder for Interference Mitigation in FMCW Radar Altimeters
- Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games
- Predicting Human Depression with Hybrid Data Acquisition utilizing Physical Activity Sensing and Social Media Feeds
- Machine Learning Models Have a Supply Chain Problem
- MEDAL: A Framework for Benchmarking LLMs as Multilingual Open-Domain Dialogue Evaluators
- Counting trees: A treebank-driven exploration of syntactic variation in speech and writing across languages
- Automated Essay Scoring Incorporating Annotations from Automated Feedback Systems
- MAC-Gaze: Motion-Aware Continual Calibration for Mobile Gaze Tracking
- Multivariate de Bruijn Graphs: A Symbolic Graph Framework for Time Series Forecasting
- StressTest: Can YOUR Speech LM Handle the Stress?
- Test-time augmentation improves efficiency in conformal prediction
- MIAS-SAM: Medical Image Anomaly Segmentation without thresholding
- A comprehensive analysis of PINNs: Variants, Applications, and Challenges
- Non-convex entropic mean-field optimization via Best Response flow
- FAMA: The First Large-Scale Open-Science Speech Foundation Model for English and Italian
- FlashFormer: Whole-Model Kernels for Efficient Low-Batch Inference
- Enhancing Lifelong Multi-Agent Path-finding by Using Artificial Potential Fields
- Climate Finance Bench
- Self-orthogonalizing attractor neural networks emerging from the free energy principle
- StarBASE-GP: Biologically-Guided Automated Machine Learning for Genotype-to-Phenotype Association Analysis
- Information-Computation Gaps in Quantum Learning via Low-Degree Likelihood
- Training Language Models to Generate Quality Code with Program Analysis Feedback
- Private Rate-Constrained Optimization with Applications to Fair Learning
- Frequency-Adaptive Discrete Cosine-ViT-ResNet Architecture for Sparse-Data Vision
- Update Your Transformer to the Latest Release: Re-Basin of Task Vectors
- LLM-ODDR: A Large Language Model Framework for Joint Order Dispatching and Driver Repositioning
- MoRE: A Mixture of Low-Rank Experts for Adaptive Multi-Task Learning
- SlimLLM: Accurate Structured Pruning for Large Language Models
- Investigating the effectiveness of multimodal data in forecasting SARS-COV-2 case surges
- Training Free Stylized Abstraction
- 3DLLM-Mem: Long-Term Spatial-Temporal Memory for Embodied 3D Large Language Model
- Let Them Talk: Audio-Driven Multi-Person Conversational Video Generation
- Characterizing Bias: Benchmarking Large Language Models in Simplified versus Traditional Chinese
- Spectral Survival Analysis
- SimProcess: High Fidelity Simulation of Noisy ICS Physical Processes
- Precise Object and Effect Removal with Adaptive Target-Aware Attention
- Stochastic Chameleons: Irrelevant Context Hallucinations Reveal Class-Based (Mis)Generalization in LLMs
- Chain-of-Talkers (CoTalk): Fast Human Annotation of Dense Image Captions
- Principled Out-of-Distribution Generalization via Simplicity
- PS4PRO: Pixel-to-pixel Supervision for Photorealistic Rendering and Optimization
- RICO: Improving Accuracy and Completeness in Image Recaptioning via Visual Reconstruction
- Chest Disease Detection In X-Ray Images Using Deep Learning Classification Method
- Effective and Efficient One-pass Compression of Speech Foundation Models Using Sparsity-aware Self-pinching Gates
- Adversarially Robust AI-Generated Image Detection for Free: An Information Theoretic Perspective
- One Rank at a Time: Cascading Error Dynamics in Sequential Learning
- Performance of machine-learning-assisted Monte Carlo in sampling from simple statistical physics models
- HDDLGym: A Tool for Studying Multi-Agent Hierarchical Problems Defined in HDDL with OpenAI Gym
- Multi-Environment GLAMP: Approximate Message Passing for Transfer Learning with Applications to Lasso-based Estimators
- Comparative Analysis of Machine Learning Models for Lung Cancer Mutation Detection and Staging Using 3D CT Scans
- Precise In-Parameter Concept Erasure in Large Language Models
- Tell me Habibi, is it Real or Fake?
- Favorability of Loss Landscape with Weight Decay Requires Both Large Overparametrization and Initialization
- FNOPE: Simulation-based inference on function spaces with Fourier Neural Operators
- Multipath cycleGAN for harmonization of paired and unpaired low-dose lung computed tomography reconstruction kernels
- Universal Visuo-Tactile Video Understanding for Embodied Interaction
- PRISM: Video Dataset Condensation with Progressive Refinement and Insertion for Sparse Motion
- Geometric Hyena Networks for Large-scale Equivariant Learning
- MultiFormer: A Multi-Person Pose Estimation System Based on CSI and Attention Mechanism
- A Copula Based Supervised Filter for Feature Selection in Diabetes Risk Prediction Using Machine Learning
- Deep Learning-Based BMD Estimation from Radiographs with Conformal Uncertainty Quantification
- DES-LOC: Desynced Low Communication Adaptive Optimizers for Training Foundation Models
- A Human-Centric Approach to Explainable AI for Personalized Education
- Uncertainty Quantification with Proper Scoring Rules: Adjusting Measures to Prediction Tasks
- RiverMamba: A State Space Model for Global River Discharge and Flood Forecasting
- Training RL Agents for Multi-Objective Network Defense Tasks
- Symplectic Generative Networks (SGNs): A Hamiltonian Framework for Invertible Deep Generative Modeling
- PrismLayers: Open Data for High-Quality Multi-Layer Transparent Image Generative Models
- PathFL: Multi-Alignment Federated Learning for Pathology Image Segmentation
- Evaluating Supervised Learning Models for Fraud Detection: A Comparative Study of Classical and Deep Architectures on Imbalanced Transaction Data
- IGNIS: A Robust Neural Network Framework for Constrained Parameter Estimation in Archimedean Copulas
- Strengthening Proportionality in Temporal Voting
- Accelerating Optimization via Differentiable Stopping Time
- Geometric GNNs for Charged Particle Tracking at GlueX
- Assessing Quantum Advantage for Gaussian Process Regression
- SABER: Spatially Consistent 3D Universal Adversarial Objects for BEV Detectors
- Risk-Sensitive Conformal Prediction for Catheter Placement Detection in Chest X-rays
- ProSpero: Active Learning for Robust Protein Design Beyond Wild-Type Neighborhoods
- On the Surprising Effectiveness of Large Learning Rates under Standard Width Scaling
- ProCrop: Learning Aesthetic Image Cropping from Professional Compositions
- Effective Context in Neural Speech Models
- Understanding Adversarial Training with Energy-based Models
- A Closer Look at Multimodal Representation Collapse
- Hypothesis Testing in Imaging Inverse Problems
- Human-Centered Human-AI Collaboration (HCHAC)
- Non-Asymptotic Analysis of (Sticky) Track-and-Stop
- Forecasting Multivariate Urban Data via Decomposition and Spatio-Temporal Graph Analysis
- Pure Exploration with Infinite Answers
- CPINN-ABPI: Physics-Informed Neural Networks for Accurate Power Estimation in MPSoCs
- Single Domain Generalization for Alzheimer's Detection from 3D MRIs with Pseudo-Morphological Augmentations and Contrastive Learning
- SHTOcc: Effective 3D Occupancy Prediction with Sparse Head and Tail Voxels
- Universal Domain Adaptation for Semantic Segmentation
- Depth-Based Matrix Classification for the HHL Quantum Algorithm
- Position: All Current Generative Fidelity and Diversity Metrics are Flawed
- NFR: Neural Feature-Guided Non-Rigid Shape Registration
- On Geometry-Enhanced Parameter-Efficient Fine-Tuning for 3D Scene Segmentation
- Can NeRFs See without Cameras?
- Data-Driven Antenna Miniaturization: A Knowledge-Based System Integrating Quantum PSO and Predictive Machine Learning Models
- Synonymous Variational Inference for Perceptual Image Compression
- Distance Transform Guided Mixup for Alzheimer's Detection
- RC-AutoCalib: An End-to-End Radar-Camera Automatic Calibration Network
- STaR-Bets: Sequential Target-Recalculating Bets for Tighter Confidence Intervals
- Neural Face Skinning for Mesh-agnostic Facial Expression Cloning
- Frugal Incremental Generative Modeling using Variational Autoencoders
- STDR: Spatio-Temporal Decoupling for Real-Time Dynamic Scene Rendering
- PacTure: Efficient PBR Texture Generation on Packed Views with Visual Autoregressive Models
- Train with Perturbation, Infer after Merging: A Two-Stage Framework for Continual Learning
- DAM: Domain-Aware Module for Multi-Domain Dataset Condensation
- Exact Algorithms and Lower Bounds for Forming Coalitions of Constrained Maximum Size
- A Divide-and-Conquer Approach for Modeling Arrival Times in Business Process Simulation
- SplitLoRA: Balancing Stability and Plasticity in Continual Learning Through Gradient Space Splitting
- Computing Optimal Transport Maps and Wasserstein Barycenters Using Conditional Normalizing Flows
- Directed Homophily-Aware Graph Neural Network
- Continuum-armed Bandit Optimization with Batch Pairwise Comparison Oracles
- Identity-Preserving Text-to-Image Generation via Dual-Level Feature Decoupling and Expert-Guided Fusion
- Multiclass Loss Geometry Matters for Generalization of Gradient Descent in Separable Classification
- Adaptive Budget Allocation for Orthogonal-Subspace Adapter Tuning in LLMs Continual Learning
- Suitability Filter: A Statistical Framework for Classifier Evaluation in Real-World Deployment Settings
- Look Within or Look Beyond? A Theoretical Comparison Between Parameter-Efficient and Full Fine-Tuning
- LLMs Struggle to Reject False Presuppositions when Misinformation Stakes are High
- VME: A Satellite Imagery Dataset and Benchmark for Detecting Vehicles in the Middle East and Beyond
- ChatPD: An LLM-driven Paper-Dataset Networking System
- Task-Driven Implicit Representations for Automated Design of LiDAR Systems
- Empowering Intelligent Low-altitude Economy with Large AI Model Deployment
- Progressive Data Dropout: An Embarrassingly Simple Approach to Faster Training
- Learning to Infer Parameterized Representations of Plants from 3D Scans
- UP-SLAM: Adaptively Structured Gaussian SLAM with Uncertainty Prediction in Dynamic Environments
- Credal Prediction based on Relative Likelihood
- NLP for Social Good: A Survey and Outlook of Challenges, Opportunities, and Responsible Deployment
- Individualised Counterfactual Examples Using Conformal Prediction Intervals
- Rethinking BPS: A Utility-Based Evaluation Framework
- Large-Area Fabrication-Aware Computational Diffractive Optics
- CADReview: Automatically Reviewing CAD Programs with Error Detection and Correction
- 360-LLaMA-Factory: Plug & Play Sequence Parallelism for Long Post-Training
- Neural Restoration of Greening Defects in Historical Autochrome Photographs Based on Purely Synthetic Data
- Compression versus Accuracy: A Hierarchy of Lifted Models
- New Tools are Needed for Tracking Adherence to AI Model Behavioral Use Clauses
- From Controlled Scenarios to Real-World: Cross-Domain Degradation Pattern Matching for All-in-One Image Restoration
- Natural Language Processing in Support of Evidence-based Medicine: A Scoping Review
- Learning Fine-Grained Geometry for Sparse-View Splatting via Cascade Depth Loss
- Full Domain Analysis in Fluid Dynamics
- Comprehensive Evaluation on Lexical Normalization: Boundary-Aware Approaches for Unsegmented Languages
- MRT at SemEval-2025 Task 8: Maximizing Recovery from Tables with Multiple Steps
- Domain Adaptation of Attention Heads for Zero-shot Anomaly Detection
- LiDAR Based Semantic Perception for Forklifts in Outdoor Environments
- A Unified Online-Offline Framework for Co-Branding Campaign Recommendations
- B-XAIC Dataset: Benchmarking Explainable AI for Graph Neural Networks Using Chemical Data
- Evaluation of LLMs in Speech is Often Flawed: Test Set Contamination in Large Language Models for Speech Recognition
- YH-MINER: Multimodal Intelligent System for Natural Ecological Reef Metric Extraction
- A Preprocessing Framework for Efficient Approximate Bi-Objective Shortest-Path Computation in the Presence of Correlated Objectives
- UDuo: Universal Dual Optimization Framework for Online Matching
- Yambda-5B -- A Large-Scale Multi-modal Dataset for Ranking And Retrieval
- A Linguistically Motivated Analysis of Intonational Phrasing in Text-to-Speech Systems: Revealing Gaps in Syntactic Sensitivity
- Optimal kernel regression bounds under energy-bounded noise
- Judging Quality Across Languages: A Multilingual Approach to Pretraining Data Filtering with Language Models
- Advancing Hearing Assessment: An ASR-Based Frequency-Specific Speech Test for Diagnosing Presbycusis
- Enjoying Information Dividend: Gaze Track-based Medical Weakly Supervised Segmentation
- GoMatching++: Parameter- and Data-Efficient Arbitrary-Shaped Video Text Spotting and Benchmarking
- Expressive yet Efficient Feature Expansion with Adaptive Cross-Hadamard Products
- Solver-Free Decision-Focused Learning for Linear Optimization Problems
- Handling bounded response in high dimensions: a Horseshoe prior Bayesian Beta regression approach
- A Survey on Training-free Open-Vocabulary Semantic Segmentation
- LaMM: Semi-Supervised Pre-Training of Large-Scale Materials Models
- Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer
- An Augmentation-Aware Theory for Self-Supervised Contrastive Learning
- S2AFormer: Strip Self-Attention for Efficient Vision Transformer
- Breaking the Cloak! Unveiling Chinese Cloaked Toxicity with Homophone Graph and Toxic Lexicon
- TabXEval: Why this is a Bad Table? An eXhaustive Rubric for Table Evaluation
- Online Fair Division for Personalized 2-Value Instances
- ReliableEval: A Recipe for Stochastic LLM Evaluation via Method of Moments
- The informativeness of the gradient revisited
- LASER: Stratified Selective Sampling for Instruction Tuning with Dedicated Scoring Strategy
- InComeS: Integrating Compression and Selection Mechanisms into LLMs for Efficient Model Editing
- Learning A Robust RGB-Thermal Detector for Extreme Modality Imbalance
- Uncertainty Estimation for Heterophilic Graphs Through the Lens of Information Theory
- Improving Brain-to-Image Reconstruction via Fine-Grained Text Bridging
- Lifted Forward Planning in Relational Factored Markov Decision Processes with Concurrent Actions
- Flexible Tool Selection through Low-dimensional Attribute Alignment of Vision and Language
- FaceEditTalker: Controllable Talking Head Generation with Facial Attribute Editing
- Real-Time Blind Defocus Deblurring for Earth Observation: The IMAGIN-e Mission Approach
- SridBench: Benchmark of Scientific Research Illustration Drawing of Image Generation Model
- Sentiment Simulation using Generative AI Agents
- LoKI: Low-damage Knowledge Implanting of Large Language Models
- Multilingual vs Crosslingual Retrieval of Fact-Checked Claims: A Tale of Two Approaches
- Multimodal Forecasting of Sparse Intraoperative Hypotension Events Powered by Language Model
- BiMi Sheets: Infosheets for bias mitigation methods
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- The quest for the GRAph Level autoEncoder (GRALE)
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- Curse of High Dimensionality Issue in Transformer for Long-context Modeling
- Adapting Segment Anything Model for Power Transmission Corridor Hazard Segmentation
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- MemOS: An Operating System for Memory-Augmented Generation (MAG) in Large Language Models
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- UAVPairs: A Challenging Benchmark for Match Pair Retrieval of Large-scale UAV Images
- Knowledge Base Construction for Knowledge-Augmented Text-to-SQL
- From Coders to Critics: Empowering Students through Peer Assessment in the Age of AI Copilots
- Efficient feature matching for UAV images based on compact GPU data scheduling
- Visual Cues Support Robust Turn-taking Prediction in Noise
- Cognitively-Inspired Emergent Communication via Knowledge Graphs for Assisting the Visually Impaired
- iDSE: Navigating Design Space Exploration in High-Level Synthesis Using LLMs
- PADAM: Parallel averaged Adam reduces the error for stochastic optimization in scientific machine learning
- MObyGaze: a film dataset of multimodal objectification densely annotated by experts
- Hyperbolic recurrent neural network as the first type of non-Euclidean neural quantum state ansatz
- Can Test-time Computation Mitigate Reproduction Bias in Neural Symbolic Regression?
- Bringing CLIP to the Clinic: Dynamic Soft Labels and Negation-Aware Learning for Medical Analysis
- ArgInstruct: Specialized Instruction Fine-Tuning for Computational Argumentation
- The Resurrection of the ReLU
- AquaMonitor: A multimodal multi-view image sequence dataset for real-life aquatic invertebrate biodiversity monitoring
- Voice Adaptation for Swiss German
- Differentiable Generalized Sliced Wasserstein Plans
- Learning Curves of Stochastic Gradient Descent in Kernel Regression
- LatentMove: Towards Complex Human Movement Video Generation
- Mitigating Audiovisual Mismatch in Visual-Guide Audio Captioning
- Estimating the Effects of Sample Training Orders for Large Language Models without Retraining
- Guess the Age of Photos: An Interactive Web Platform for Historical Image Age Estimation
- Weakly-Supervised Contrastive Learning for Imprecise Class Labels
- Learnable Burst-Encodable Time-of-Flight Imaging for High-Fidelity Long-Distance Depth Sensing
- RESOUND: Speech Reconstruction from Silent Videos via Acoustic-Semantic Decomposed Modeling
- GL-PGENet: A Parameterized Generation Framework for Robust Document Image Enhancement
- Improving Continual Pre-training Through Seamless Data Packing
- PanoWan: Lifting Diffusion Video Generation Models to 360deg with Latitude/Longitude-aware Mechanisms
- Learning in Compact Spaces with Approximately Normalized Transformer
- Prototype Embedding Optimization for Human-Object Interaction Detection in Livestreaming
- Event-based Egocentric Human Pose Estimation in Dynamic Environment
- Lightweight Domain Adaptation of a Large Language Model for Legal Assistance in the Indian Context
- Found in Translation: Measuring Multilingual LLM Consistency as Simple as Translate then Evaluate
- Leveraging Interview-Informed LLMs to Model Survey Responses: Comparative Insights from AI-Generated and Human Data
- A decomposition-based robust training of physics-informed neural networks for nearly incompressible linear elasticity
- Functional Matching of Logic Subgraphs: Beyond Structural Isomorphism
- ACE: Exploring Activation Cosine Similarity and Variance for Accurate and Calibration-Efficient LLM Pruning
- Reward-Independent Messaging for Decentralized Multi-Agent Reinforcement Learning
- BOFormer: Learning to Solve Multi-Objective Bayesian Optimization via Non-Markovian RL
- LLMs Judging LLMs: A Simplex Perspective
- EnsemW2S: Enhancing Weak-to-Strong Generalization with Large Language Model Ensembles
- Resolving Knowledge Conflicts in Domain-specific Data Selection: A Case Study on Medical Instruction-tuning
- Revisiting Active Speaker Detection: An In-the-Wild Benchmark for Generalization and Robustness
- Stochastic Primal-Dual Double Block-Coordinate for Two-way Partial AUC Maximization
- Point-to-Region Loss for Semi-Supervised Point-Based Crowd Counting
- Continual Learning Beyond Experience Rehearsal and Full Model Surrogates
- Practical Adversarial Attacks on Stochastic Bandits via Fake Data Injection
- Graph-Assisted Culturally Adaptable Idiomatic Translation for Indic Languages
- Higher-Order Group Synchronization
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- Subspecialty-Specific Foundation Model for Intelligent Gastrointestinal Pathology
- Beyond Completion: A Foundation Model for General Knowledge Graph Reasoning
- RenderFormer: Transformer-based Neural Rendering of Triangle Meshes with Global Illumination
- FALCON: An ML Framework for Fully Automated Layout-Constrained Analog Circuit Design
- InfoSAM: Fine-Tuning the Segment Anything Model from An Information-Theoretic Perspective
- Self-supervised Learning Method Using Transformer for Multi-dimensional Sensor Data Processing
- BD Open LULC Map: High-resolution land use land cover mapping & benchmarking for urban development in Dhaka, Bangladesh
- LiDARDustX: A LiDAR Dataset for Dusty Unstructured Road Environments
- Detecting Cultural Differences in News Video Thumbnails via Computational Aesthetics
- AlignGen: Boosting Personalized Image Generation with Cross-Modality Prior Alignment
- Taming Transformer Without Using Learning Rate Warmup
- Concentrate on Weakness: Mining Hard Prototypes for Few-Shot Medical Image Segmentation
- SineLoRADelta: Sine-Activated Delta Compression
- Diffusion-Denoised Hyperspectral Gaussian Splatting
- SVRPBench: A Realistic Benchmark for Stochastic Vehicle Routing Problem
- HydraNet: Momentum-Driven State Space Duality for Multi-Granularity Tennis Tournaments Analysis
- Incorporating LLMs for Large-Scale Urban Complex Mobility Simulation
- Symbolic Foundation Regressor on Complex Networks
- Hybrid Batch Normalisation: Resolving the Dilemma of Batch Normalisation in Federated Learning
- MAMBO-NET: Multi-Causal Aware Modeling Backdoor-Intervention Optimization for Medical Image Segmentation Network
- HelixDesign-Binder: A Scalable Production-Grade Platform for Binder Design Built on HelixFold3
- Cross-DINO: Cross the Deep MLP and Transformer for Small Object Detection
- CSI-Bench: A Large-Scale In-the-Wild Dataset for Multi-task WiFi Sensing
- GETReason: Enhancing Image Context Extraction through Hierarchical Multi-Agent Reasoning
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- Optimizable Model Averaging for Ensembling Heterogeneous Model Outputs
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- Rethinking Gradient-based Adversarial Attacks on Point Cloud Classification
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- RePaViT: Scalable Vision Transformer Acceleration via Structural Reparameterization on Feedforward Network Layers
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- A Physics-Informed Learning Framework to Solve the Infinite-Horizon Optimal Control Problem
- Nonadaptive Output Regulation of Second-Order Nonlinear Uncertain Systems
- UniMoGen: Universal Motion Generation