Papers
Sun 28 Sep 2025
369 papers
- Efficient Turing Machine Simulation with TransformersLLM reasoning → Prompting and chain-of-thought reasoning
- WAREX: Web Agent Reliability Evaluation on Existing BenchmarksLLM agents and tool use → Web, search, and research agents
- MACE: A Hybrid LLM Serving System with Colocated SLO-aware Continuous Retraining AlignmentEfficient LLM inference and serving → Serving systems and request scheduling
- Discovering Transformer Circuits via a Hybrid Attribution and Pruning FrameworkMechanistic interpretability → Circuits and mechanistic analysis
- Training Optimal Large Diffusion Language ModelsDiffusion models → Discrete and text diffusion
- MemMamba: Rethinking Memory Patterns in State Space ModelState-space sequence models (S4, Mamba) → Core SSM architectures for language
- Spiral of Silence in Large Language Model AgentsLLM agents and tool use → Social simulation and multi-agent debate
- Emission-GPT: A domain-specific language model agent for knowledge retrieval, emission inventory and data analysisLLM agents and tool use → Multimodal and embodied agents
- DiffuSpec: Unlocking Diffusion Language Models for Speculative DecodingDiffusion models → Discrete and text diffusion +1
- HiDe: Rethinking The Zoom-IN method in High Resolution MLLMs via Hierarchical DecouplingLLM reasoning → Multimodal reasoning +1
- RADAR: A Risk-Aware Dynamic Multi-Agent Framework for LLM Safety Evaluation via Role-Specialized CollaborationLLM agents and tool use → Agent threats, guardrails and governance +1
- Dynamic Policy Induction for Adaptive Prompt Optimization: Bridging the Efficiency-Accuracy Gap via Lightweight Reinforcement LearningLLM reasoning → Reinforcement learning for reasoning +1
- GANji: A Framework for Introductory AI Image GenerationDiffusion models → Diffusion foundations and sampling
- Transparent, Evaluable, and Accessible Data Agents: A Proof-of-Concept FrameworkLLM agents and tool use → Web, search, and research agents
- HyMaTE: A Hybrid Mamba and Transformer Model for EHR Representation LearningState-space sequence models (S4, Mamba) → Mamba for medical image analysis
- GeoFunFlow: Geometric Function Flow Matching for Inverse Operator Learning over Complex GeometriesDiffusion models → Flow matching, time series and science
- Dual-Scale World Models for LLM Agents Towards Hard-Exploration ProblemsWorld models → World models for language agents +1
- Fathom-DeepResearch: Unlocking Long Horizon Information Retrieval and Synthesis for SLMsLLM agents and tool use → Web, search, and research agents
- From Training to Generalization: Improving Moral Reasoning Through Pragmatic InferenceLLM reasoning → Reasoning benchmarks and evaluation
- Unified Multi-Modal Interactive & Reactive 3D Motion Generation via Rectified FlowDiffusion models → Video generation
- GEAR: A General Evaluation Framework for Abductive ReasoningLLM reasoning → Reasoning benchmarks and evaluation
- CORRECT: COndensed eRror RECognition via knowledge Transfer in multi-agent systemsLLM agents and tool use → Software engineering coding agents
- Uncovering Grounding IDs: How External Cues Shape Multimodal BindingMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- In-Context Compositional Q-Learning for Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
- Bridging On-Device and Cloud LLMs for Collaborative Reasoning: A Unified Methodology for Local Routing and Post-TrainingLLM reasoning → Reasoning for agents, planning and code
- Analyzing and Evaluating Unbiased Language Model WatermarkLLM safety and security → Watermarking generated content and models
- PartnerMAS: An LLM Hierarchical Multi-Agent Framework for Business Partner Selection on High-Dimensional FeaturesLLM agents and tool use → Financial trading and forecasting agents
- An Ensemble Framework for Unbiased Language Model WatermarkingLLM safety and security → Watermarking generated content and models
- Hazy Pedestrian Trajectory Prediction via Physical Priors and Graph-MambaState-space sequence models (S4, Mamba) → Video, motion and generative Mamba models
- SparseD: Sparse Attention for Diffusion Language ModelsDiffusion models → Discrete and text diffusion
- Sequential Diffusion Language ModelsDiffusion models → Discrete and text diffusion
- SLA: Beyond Sparsity in Diffusion Transformers via Fine-Tunable Sparse-Linear AttentionDiffusion models → Video generation
- Policy-as-Prompt: Turning AI Governance Rules into Guardrails for AI AgentsLLM safety and security → Prompt injection and agent security
- Advancing Multi-agent Traffic Simulation via R1-Style Reinforcement Fine-TuningLLM agents and tool use → Multimodal and embodied agents
- LLM/Agent-as-Data-Analyst: A SurveyLLM agents and tool use → Web, search, and research agents
- TusoAI: Agentic Optimization for Scientific MethodsLLM agents and tool use → Web, search, and research agents
- Toward Preference-aligned Large Language Models via Residual-based Model SteeringLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Towards Redundancy Reduction in Diffusion Models for Efficient Video Super-ResolutionDiffusion models → Inverse problems and image restoration
- ByteSized32Refactored: Towards an Extensible Interactive Text Games Corpus for LLM World Modeling and EvaluationWorld models → World models for language agents
- Curriculum-Guided Reinforcement Learning for Synthesizing Gas-Efficient Financial Derivatives ContractsDeep reinforcement learning methods → Adversarial robustness and RL in finance
- VFSI: Validity First Spatial Intelligence for Constraint-Guided Traffic DiffusionDiffusion models → Diffusion and flow policies for robotics
- HiPO: Hybrid Policy Optimization for Dynamic Reasoning in LLMsLLM reasoning → Reinforcement learning for reasoning
- Conditional Advantage Estimation for Reinforcement Learning in Large Reasoning ModelsLLM reasoning → Reinforcement learning for reasoning
- Reinforcement Learning with Inverse Rewards for World Model Post-trainingWorld models → Latent dynamics models and model-based RL +2
- HunyuanImage 3.0 Technical ReportMixture-of-experts → Multimodal MoE models
- Explore-Execute Chain: Towards an Efficient Structured Reasoning ParadigmLLM reasoning → Reasoning for agents, planning and code
- On the Separability of Information in Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- Beyond Benchmarks: Understanding Mixture-of-Experts Models through Internal MechanismsMixture-of-experts → MoE theory and gating functions
- AutoPrune: Each Complexity Deserves a Pruning PolicyMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- HiViS: Hiding Visual Tokens from the Drafter for Speculative Decoding in Vision-Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- FUSAR-KLIP: Towards Multimodal Foundation Models for Remote SensingMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Taming Masked Diffusion Language Models via Consistency Trajectory Reinforcement Learning with Fewer Decoding StepDiffusion models → Discrete and text diffusion +1
- DriveE2E: Closed-Loop Benchmark for End-to-End Autonomous Driving through Real-to-SimulationEnd-to-end autonomous driving → End-to-end system architecture
- Bridging the Task Gap: Multi-Task Adversarial Transferability in CLIP and Its DerivativesMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- Continual Learning to Generalize Forwarding Strategies for Diverse Mobile Wireless NetworksDeep reinforcement learning methods → RL for energy, networks and operations
- EditScore: Unlocking Online RL for Image Editing via High-Fidelity Reward ModelingLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
- EWC-Guided Diffusion Replay for Exemplar-Free Continual Learning in Medical ImagingDiffusion models → Robustness, privacy and adversarial aspects
- Preserving Cross-Modal Stability for Visual Unlearning in Multimodal ScenariosLLM safety and security → Machine unlearning
- Towards Understanding Subliminal Learning: When and How Hidden Biases TransferKnowledge distillation → On-policy and self-distillation for LLMs
- Quant Fever, Reasoning Blackholes, Schrodinger's Compliance, and More: Probing GPT-OSS-20BLLM reasoning → Reasoning for agents, planning and code
- PCRI: Measuring Context Robustness in Multimodal Models for Enterprise ApplicationsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Multi-Value-Product Retrieval-Augmented Generation for Industrial Product Attribute Value IdentificationRetrieval-augmented generation → RAG pipeline design and evaluation
- Winning the Pruning Gamble: A Unified Approach to Joint Sample and Token Pruning for Efficient Supervised Fine-TuningLLM alignment / RLHF / preference optimisation → LLM preference optimization methods +1
- Taught Well Learned Ill: Towards Distillation-conditional Backdoor AttackKnowledge distillation → Federated, robust and private distillation
- Gradient Coupling: The Hidden Barrier to Generalization in Agentic Reinforcement LearningLLM agents and tool use → Reinforcement learning for LLM agents
- Efficient Multi-turn RL for GUI Agents via Decoupled Training and Adaptive Data CurationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +2
- AgentGuard: Runtime Verification of AI AgentsLLM agents and tool use → Agent threats, guardrails and governance
- SPELL: Self-Play Reinforcement Learning for Evolving Long-Context Language ModelsLLM reasoning → Test-time compute and efficient thinking +1
- Adversarial Diffusion for Robust Reinforcement LearningDiffusion models → Diffusion and flow policies for robotics +1
- Bayesian Mixture-of-Experts: Towards Making LLMs Know What They Don't KnowMixture-of-experts → Expert routing strategies
- Uni4D-LLM: A Unified SpatioTemporal-Aware VLM for 4D Understanding and GenerationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Assessing Visual Privacy Risks in Multimodal AI: A Novel Taxonomy-Grounded Evaluation of Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- Space Group Conditional Flow MatchingDiffusion models → Flow matching, time series and science
- Semantic-Space Exploration and Exploitation in RLVR for LLM ReasoningLLM reasoning → Reinforcement learning for reasoning
- FedAgentBench: Towards Automating Real-world Federated Medical Image Analysis with Server-Client LLM AgentsLLM agents and tool use → Medical and scientific domain agents
- STAIR: Addressing Stage Misalignment through Temporal-Aligned Preference Reinforcement LearningLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF +1
- Sample-Efficient Optimisation over the Outputs of Generative ModelsDiffusion models → Diffusion foundations and sampling
- Enhancing LLM Steering through Sparse Autoencoder-Based Vector RefinementMechanistic interpretability → SAE features and their applications
- Transformer Tafsir at QIAS 2025 Shared Task: Hybrid Retrieval-Augmented Generation for Islamic Knowledge Question AnsweringRetrieval-augmented generation → RAG robustness and adaptive retrieval
- CaRe-BN: Precise Moving Statistics for Stabilizing Spiking Neural Networks in Reinforcement LearningDeep reinforcement learning methods → Spiking and neuromorphic RL
- Visual CoT Makes VLMs Smarter but More FragileLLM reasoning → Multimodal reasoning +1
- GroupCoOp: Group-robust Fine-tuning via Group Prompt LearningMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Trained Mamba Emulates Online Gradient Descent in In-Context Linear RegressionState-space sequence models (S4, Mamba) → Core SSM architectures for language
- ReLumix: Extending Image Relighting to Video via Video Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
- From What to Why: A Multi-Agent System for Evidence-based Chemical Reaction Condition ReasoningLLM reasoning → Clinical and biomedical applications +1
- Knowledge-Level Consistency Reinforcement Learning: Dual-Fact Alignment for Long-Form FactualityLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- UniAlignment: Semantic Alignment for Unified Image Generation, Understanding, Manipulation and PerceptionDiffusion models → Image generation, text-to-image and editing
- Transparent Visual Reasoning via Object-Centric Agent CollaborationLLM reasoning → Multimodal reasoning
- An Investigation of Batch Normalization in Off-Policy Actor-Critic AlgorithmsDeep reinforcement learning methods → Deep RL algorithms and representations
- Poivre: Self-Refining Visual Pointing with Reinforcement LearningMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- Compose and Fuse: Revisiting the Foundational Bottlenecks in Multimodal ReasoningLLM reasoning → Multimodal reasoning +1
- GUI-Shepherd: Reliable Process Reward and Verification for Long-Sequence GUI TasksLLM alignment / RLHF / preference optimisation → Process reward models for reasoning
- Demystifying the Lifecycle of Failures in Platform-Orchestrated Agentic WorkflowsLLM agents and tool use → Software engineering coding agents
- EAPO: Enhancing Policy Optimization with On-Demand Expert AssistanceLLM reasoning → Reinforcement learning for reasoning
- LUQ: Layerwise Ultra-Low Bit Quantization for Multimodal Large Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- MedLA: A Logic-Driven Multi-Agent Framework for Complex Medical Reasoning with Large Language ModelsLLM reasoning → Clinical and biomedical applications +1
- DiffPCN: Latent Diffusion Model Based on Multi-view Depth Images for Point Cloud CompletionDiffusion models → 3D, point cloud and scene generation
- Diff-3DCap: Shape Captioning with Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
- Measuring Sparse Autoencoder Feature SensitivityMechanistic interpretability → SAE features and their applications
- Deterministic Policy Gradient for Reinforcement Learning with Continuous Time and StateDeep reinforcement learning methods → RL theory and sample complexity
All 369
- StrucADT: Generating Structure-controlled 3D Point Clouds with Adjacency Diffusion TransformerDiffusion models → 3D, point cloud and scene generation
- CrimEdit: Controllable Editing for Counterfactual Object Removal, Insertion, and MovementDiffusion models → 3D, point cloud and scene generation
- VIVA+: Human-Centered Situational Decision-MakingMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- SafeSearch: Automated Red-Teaming of LLM-Based Search AgentsLLM agents and tool use → Agent threats, guardrails and governance +1
- HomeSafeBench: Benchmarking Embodied Vision-Language Models in Free-Exploration Home Safety InspectionMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Evaluating Program Semantics Reasoning with Type Inference in System FLLM reasoning → Reasoning for agents, planning and code
- QuantSparse: Comprehensively Compressing Video Diffusion Transformer with Model Quantization and Attention SparsificationDiffusion models → Video generation
- Towards a Comprehensive Scaling Law of Mixture-of-ExpertsMixture-of-experts → MoE large language models
- MSD-KMamba: Bidirectional Spatial-Aware Multi-Modal 3D Brain Segmentation via Multi-scale Self-Distilled Fusion StrategyKnowledge distillation → Distillation for medical imaging
- From Reasoning to Answer: Empirical, Attention-Based and Mechanistic Insights into Distilled DeepSeek R1 ModelsLLM reasoning → Test-time compute and efficient thinking
- PAT-Agent: Autoformalization for Model CheckingLLM agents and tool use → General LLM agent frameworks and benchmarks
- RCI: A Score for Evaluating Global and Local Reasoning in Multimodal BenchmarksLLM reasoning → Multimodal reasoning +1
- Why Alignment Must Precede Distillation: A Minimal Working ExplanationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Beyond Greedy Exits: Improved Early Exit Decisions for Risk Control and ReliabilityEfficient LLM inference and serving → Early exit and edge inference
- HIVTP: A Training-Free Method to Improve VLMs Efficiency via Hierarchical Visual Token Pruning Using Middle-Layer-Based Importance ScoreMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- LLaVA-OneVision-1.5: Fully Open Framework for Democratized Multimodal TrainingMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Beyond English-Centric Training: How Reinforcement Learning Improves Cross-Lingual Reasoning in LLMsLLM reasoning → Reasoning benchmarks and evaluation
- Focusing on What Matters: Object-Agent-centric Tokenization for Vision Language Action modelsVision-language-action models → Generalist VLA models and benchmarks +1
- Don't Settle Too Early: Self-Reflective Remasking for Diffusion Language ModelsDiffusion models → Discrete and text diffusion
- ReWatch-R1: Boosting Complex Video Reasoning in Large Vision-Language Models through Agentic Data SynthesisLLM reasoning → Multimodal reasoning +3
- From Static to Dynamic: a Survey of Topology-Aware Perception in Autonomous DrivingEnd-to-end autonomous driving → VLMs for autonomous driving
- EfficientMIL: Efficient Linear-Complexity MIL Method for WSI ClassificationState-space sequence models (S4, Mamba) → Mamba for medical image analysis
- LightFair: Towards an Efficient Alternative for Fair T2I Diffusion via Debiasing Pre-trained Text EncodersDiffusion models → Image generation, text-to-image and editing
- LayerScope: Predictive Cross-Layer Scheduling for Efficient Multi-Batch MoE Inference on Legacy ServersMixture-of-experts → Efficient MoE training and inference systems
- Fast Thinking for Large Language ModelsLLM reasoning → Test-time compute and efficient thinking
- Emergent Slow Thinking in LLMs as Inverse Tree FreezingLLM reasoning → Reinforcement learning for reasoning
- RIV: Recursive Introspection Mask Diffusion Vision Language ModelMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- DiffInk: Glyph- and Style-Aware Latent Diffusion Transformer for Text to Online Handwriting GenerationDiffusion models → Image generation, text-to-image and editing
- Reasoning Scaffolding: Distilling the Flow of Thought from LLMsLLM reasoning → Prompting and chain-of-thought reasoning +1
- PSG-Agent: Personality-Aware Safety Guardrail for LLM-based AgentsLLM agents and tool use → Agent threats, guardrails and governance +1
- FlowLUT: Efficient Image Enhancement via Differentiable LUTs and Iterative Flow MatchingDiffusion models → Inverse problems and image restoration
- MAN: Latent Diffusion Enhanced Multistage Anti-Noise Network for Efficient and High-Quality Low-Dose CT Image DenoisingDiffusion models → Medical imaging and segmentation
- VAMamba: An Efficient Visual Adaptive Mamba for Image RestorationState-space sequence models (S4, Mamba) → Mamba for image restoration
- StolenLoRA: Exploring LoRA Extraction Attacks via Synthetic DataSynthetic data and self-improvement for LLMs → Safety of self-evolving systems
- Avoid Catastrophic Forgetting with Rank-1 Fisher from Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects
- Foundation Model-Based Adaptive Semantic Image Transmission for Dynamic Wireless EnvironmentsDiffusion models → Diffusion for compression and wireless
- BridgeDrive: Diffusion Bridge Policy for Closed-Loop Trajectory Planning in Autonomous DrivingDiffusion models → Diffusion and flow policies for robotics +1
- Reducing Cost of LLM Agents with Trajectory ReductionLLM agents and tool use → Software engineering coding agents
- VividFace: High-Quality and Efficient One-Step Diffusion For Video Face EnhancementDiffusion models → Inverse problems and image restoration
- RobuQ: Pushing DiTs to W1.58A2 via Robust Activation QuantizationDiffusion models → Diffusion foundations and sampling
- Towards Efficient CoT Distillation: Self-Guided Rationale Selector for Better Performance with Fewer RationalesLLM reasoning → Prompting and chain-of-thought reasoning
- Clean First, Align Later: Benchmarking Preference Data Cleaning for Reliable LLM AlignmentLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Formalization Driven LLM Prompt Jailbreaking via Reinforcement LearningLLM safety and security → Jailbreaking
- Zero-shot Whole-Body Manipulation with a Large-Scale Soft Robotic Torso via Guided Reinforcement LearningDeep reinforcement learning methods → RL for robot locomotion and manipulation
- On the Shelf Life of Fine-Tuned LLM-Judges: Future-Proofing, Backward-Compatibility, and Question GeneralizationLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Beyond the Strongest LLM: Multi-Turn Multi-Agent Orchestration vs. Single LLMs on BenchmarksLLM agents and tool use → Social simulation and multi-agent debate
- AmarDoctor: An AI-Driven, Multilingual, Voice-Interactive Digital Health Application for Primary Care Triage and Patient Management to Bridge the Digital Health Divide for Bengali Speakers
- CLARAE: Clarity Preserving Reconstruction AutoEncoder for Denoising and Rhythm Classification of Intracardiac Electrograms
- Performance of Machine Learning Methods for Gravity Inversion: Successes and Challenges
- SAC-Opt: Semantic Anchors for Iterative Correction in Optimization Modeling
- Edge-FIT: Federated Instruction Tuning of Quantized LLMs for Privacy-Preserving Smart Home Environments
- Mathematically rigorous proofs for Shapley explanations
- Quantifying constraint hierarchies in Bayesian PINNs via per-constraint Hessian decomposition
- Quantile-Scaled Bayesian Optimization Using Rank-Only Feedback
- QuadEnhancer: Leveraging Quadratic Transformations to Enhance Deep Neural Networks
- A Cross-Lingual Analysis of Bias in Large Language Models Using Romanian History
- ChunkLLM: A Lightweight Pluggable Framework for Accelerating LLMs Inference
- Privacy in the Age of AI: A Taxonomy of Data Risks
- Variable Rate Image Compression via N-Gram Context based Swin-transformer
- Adapting Large Language Models to Mitigate Skin Tone Biases in Clinical Dermatology Tasks: A Mixed-Methods Study
- DPsurv: Dual-Prototype Evidential Fusion for Uncertainty-Aware and Interpretable Whole-Slide Image Survival Prediction
- A Recall-First CNN for Sleep Apnea Screening from Snoring Audio
- Latent Representation Learning from 3D Brain MRI for Interpretable Prediction in Multiple Sclerosis
- VoiceBridge: General Speech Restoration with One-step Latent Bridge Models
- DNABERT-2: Fine-Tuning a Genomic Language Model for Colorectal Gene Enhancer Classification
- InfMasking: Unleashing Synergistic Information by Contrastive Multimodal Interactions
- Position-Blind Ptychography: Viability of image reconstruction via data-driven variational inference
- A Weather Foundation Model for the Power Grid
- Cognifying Education: Mapping AI's transformative role in emotional, creative, and collaborative learning
- Evaluating the Impact of Radiographic Noise on Chest X-ray Semantic Segmentation and Disease Classification Using a Scalable Noise Injection Framework
- GeoSQL-Eval: First Evaluation of LLMs on PostGIS-Based NL2GeoSQL Queries
- How Effective Are Time-Series Models for Precipitation Nowcasting? A Comprehensive Benchmark for GNSS-based Precipitation Nowcasting
- Heterogeneous Multi-agent Collaboration in UAV-assisted Mobile Crowdsensing Networks
- Internal Planning in Language Models: Characterizing Horizon and Branch Awareness
- Beyond Magic Words: Sharpness-Aware Prompt Evolving for Robust Large Language Models with TARE
- Mash, Spread, Slice! Learning to Manipulate Object States via Visual Spatial Progress
- BOSfM: A View Planning Framework for Optimal 3D Reconstruction of Agricultural Scenes
- The Impossibility of Inverse Permutation Learning in Transformer Models
- Ancestry Tree Clustering for Particle Filter Diversity Maintenance
- Echo Flow Networks
- EduVidQA: Generating and Evaluating Long-form Answers to Student Questions based on Lecture Videos
- ADAPT: Lightweight, Long-Range Machine Learning Force Fields Without Graphs
- SVAC: Scaling Is All You Need For Referring Video Object Segmentation
- BTC-SAM: Leveraging LLMs for Generation of Bias Test Cases for Sentiment Analysis Models
- SpeedCP: Fast Kernel-based Conditional Conformal Prediction
- Singleton-Optimized Conformal Prediction
- Clebsch-Gordan Transformer: Fast and Global Equivariant Attention
- PerfBench: Can Agents Resolve Real-World Performance Bugs?
- Large-Scale Constraint Generation -- Can LLMs Parse Hundreds of Constraints?
- Do Repetitions Matter? Strengthening Reliability in LLM Evaluations
- PEARL: Peer-Enhanced Adaptive Radio via On-Device LLM
- Autoregressive Video Generation beyond Next Frames Prediction
- Ensembling Multilingual Transformers for Robust Sentiment Analysis of Tweets
- Demographic-Agnostic Fairness without Harm
- A Family of Kernelized Matrix Costs for Multiple-Output Mixture Neural Networks
- ResFormer: All-Time Reservoir Memory for Long Sequence Classification
- AQUAIR: A High-Resolution Indoor Environmental Quality Dataset for Smart Aquaculture Monitoring
- A Small Math Model: Recasting Strategy Choice Theory in an LLM-Inspired Architecture
- A Second-Order Perspective on Pruning at Initialization and Knowledge Transfer
- On The Variability of Concept Activation Vectors
- Optimism as Risk-Seeking in Multi-Agent Reinforcement Learning
- Topographic Constraints Shape Brain-Like Component Structure in Auditory Models
- GPS-MTM: Capturing Pattern of Normalcy in GPS-Trajectories with self-supervised learning
- From Edge to HPC: Investigating Cross-Facility Data Streaming Architectures
- Joint Superpixel and Self-Representation Learning for Scalable Hyperspectral Image Clustering
- The Role of Logic and Automata in Understanding Transformers
- R3: Reconstruction, Raw, and Rain: Deraining Directly in the Bayer Domain
- Generalized Category Discovery in Hyperspectral Images via Prototype Subspace Modeling
- Pretraining Scaling Laws for Generative Evaluations of Language Models
- FrameMind: Frame-Interleaved Video Reasoning via Reinforcement Learning
- Does Weak-to-strong Generalization Happen under Spurious Correlations?
- SIE3D: Single-Image Expressive 3D Avatar Generation via Semantic Embedding and Perceptual Expression Loss
- MCPMark: A Benchmark for Stress-Testing Realistic and Comprehensive MCP Use
- Gaze Estimation for Human-Robot Interaction: Analysis Using the NICO Platform
- TREAT-Net: Tabular-Referenced Echocardiography Analysis for Acute Coronary Syndrome Treatment Prediction
- Future-Proofing Programmers: Optimal Knowledge Tracing for AI-Assisted Personalized Education
- Guide: Generalized-Prior and Data Encoders for DAG Estimation
- RPG360: Robust 360 Depth Estimation with Perspective Foundation Models and Graph Optimization
- The Hidden Costs of Translation Accuracy: Distillation, Quantization, and Environmental Impact
- Automatic selection of primary studies in systematic reviews with evolutionary rule-based classification
- Equation-Free Coarse Control of Distributed Parameter Systems via Local Neural Operators
- A Novel Hybrid Deep Learning and Chaotic Dynamics Approach for Thyroid Cancer Classification
- Detecting and Rectifying Noisy Labels: A Similarity-based Approach
- Evaluating the Robustness of Chinchilla Compute-Optimal Scaling
- Learning-Based Testing for Deep Learning: Enhancing Model Robustness with Adversarial Input Prioritization
- MAD-PINN: A Decentralized Physics-Informed Machine Learning Framework for Safe and Optimal Multi-Agent Control
- Vision-Grounded Machine Interpreting: Improving the Translation Process through Visual Cues
- ColLab: A Collaborative Spatial Progressive Data Engine for Referring Expression Comprehension and Generation
- Monotonic Transformation Invariant Multi-task Learning
- CrashSplat: 2D to 3D Vehicle Damage Segmentation in Gaussian Splatting
- Efficient Identification of High Similarity Clusters in Polygon Datasets
- Brain-language fusion enables interactive neural readout and in-silico experimentation
- Easy Turn: Integrating Acoustic and Linguistic Modalities for Robust Turn-Taking in Full-Duplex Spoken Dialogue Systems
- Do Language Models Update their Forecasts with New Information?
- A University of Texas Medical Branch Case Study on Aortic Calcification Detection
- Learning Encoding-Decoding Direction Pairs to Unveil Concepts of Influence in Deep Vision Networks
- Graph Mixing Additive Networks
- Asymptotic Expansion for Nonlinear Filtering in the Small System Noise Regime
- Token Painter: Training-Free Text-Guided Image Inpainting via Mask Autoregressive Models
- Revisit the Imbalance Optimization in Multi-task Learning: An Experimental Analysis
- From Neural Networks to Logical Theories: The Correspondence between Fibring Modal Logics and Fibring Neural Networks
- MoReact: Generating Reactive Motion from Textual Descriptions
- Adversarial Versus Federated: An Adversarial Learning based Multi-Modality Cross-Domain Federated Medical Segmentation
- Integrated Communication and Control for Energy-Efficient UAV Swarms: A Multi-Agent Reinforcement Learning Approach
- Interpreting deep learning-based stellar mass estimation via causal analysis and mutual information decomposition
- LifeCLEF Plant Identification Task 2014
- Q-FSRU: Quantum-Augmented Frequency-Spectral For Medical Visual Question Answering
- Differentiable Sparsity via D-Gating: Simple and Versatile Structured Penalization
- Dynamic Orthogonal Continual Fine-tuning for Mitigating Catastrophic Forgettings
- LifeCLEF Plant Identification Task 2015
- AssemblyHands-X: Modeling 3D Hand-Body Coordination for Understanding Bimanual Human Activities
- Gradient Flow Convergence Guarantee for General Neural Network Architectures
- Extendable Generalization Self-Supervised Diffusion for Low-Dose CT Reconstruction
- DocPruner: A Storage-Efficient Framework for Multi-Vector Visual Document Retrieval via Adaptive Patch-Level Embedding Pruning
- Learning Adaptive Pseudo-Label Selection for Semi-Supervised 3D Object Detection
- Disentangling Score Content and Performance Style for Joint Piano Rendering and Transcription
- Rethinking Visual Autoregressive Sampling with Information-Grounding Guidance
- Sim-DETR: Unlock DETR for Temporal Sentence Grounding
- GSID: Generative Semantic Indexing for E-Commerce Product Understanding
- FairViT-GAN: A Hybrid Vision Transformer with Adversarial Debiasing for Fair and Explainable Facial Beauty Prediction
- CE-FAM: Concept-Based Explanation via Fusion of Activation Maps
- Towards Fine-Grained Text-to-3D Quality Assessment: A Benchmark and A Two-Stage Rank-Learning Metric
- 2nd Place Report of MOSEv2 Challenge 2025: Concept Guided Video Object Segmentation via SeC
- Mix-Ecom: Towards Mixed-Type E-Commerce Dialogues with Complex Domain Rules
- HFuzzer: Testing Large Language Models for Package Hallucinations via Phrase-based Fuzzing
- AISHELL6-whisper: A Chinese Mandarin Audio-visual Whisper Speech Dataset with Speech Recognition Baselines
- Electric Currents for Discrete Data Generation
- Test-time GNN Model Evaluation on Dynamic Graphs
- A Multi-Camera Vision-Based Approach for Fine-Grained Assembly Quality Control
- IndexNet: Timestamp and Variable-Aware Modeling for Time Series Forecasting
- Navigating the Labyrinth: Path-Sensitive Unit Test Generation with Large Language Models
- AnveshanaAI: A Multimodal Platform for Adaptive AI/ML Education through Automated Question Generation and Interactive Assessment
- Tequila: Trapping-free Ternary Quantization for Large Language Models
- Influence-Guided Concolic Testing of Transformer Robustness
- Open-DeBias: Toward Mitigating Open-Set Bias in Language Models
- Controllable Generation of Large-Scale 3D Urban Layouts with Semantic and Structural Guidance
- From Frustration to Fun: An Adaptive Problem-Solving Puzzle Game Powered by Genetic Algorithm
- From Unstable to Playable: Stabilizing Angry Birds Levels via Object Segmentation
- Falcon: A Cross-Modal Evaluation Dataset for Comprehensive Safety Perception
- Bridging the Knowledge-Prediction Gap in LLMs on Multiple-Choice Questions
- Sequence Pathfinder for Multi-Agent Pickup and Delivery in the Warehouse
- Texture Vector-Quantization and Reconstruction Aware Prediction for Generative Super-Resolution
- Knowledge Homophily in Large Language Models
- A Modality-Tailored Graph Modeling Framework for Urban Region Representation via Contrastive Learning
- GenView++: Unifying Adaptive Generative Augmentation and Quality-Driven Supervision for Contrastive Representation Learning
- From Personal to Collective: On the Role of Local and Global Memory in LLM Personalization
- Quantifying How Training Gradient Sparsity Affect Spiking Neural Network Accuracy And Robustness
- VioPTT: Violin Technique-Aware Transcription from Synthetic Data Augmentation
- SHAPoint: Task-Agnostic, Efficient, and Interpretable Point-Based Risk Scoring via Shapley Values
- Understanding Textual Capability Degradation in Speech LLMs via Parameter Importance Analysis
- Anchored Supervised Fine-Tuning
- PVTAdpNet: Polyp Segmentation using Pyramid vision transformer with a novel Adapter block
- Time-Shifted Token Scheduling for Symbolic Music Generation
- Beyond Game Theory Optimal: Profit-Maximizing Poker Agents for No-Limit Holdem
- LocoFormer: Generalist Locomotion via Long-context Adaptation
- GBSK: Skeleton Clustering via Granular-ball Computing and Multi-Sampling for Large-Scale Data
- ResAD++: Towards Class Agnostic Anomaly Detection via Residual Feature Learning
- GRS-SLAM3R: Real-Time Dense SLAM with Gated Recurrent State
- HieraTok: Multi-Scale Visual Tokenizer Improves Image Reconstruction and Generation
- FastViDAR: Real-Time Omnidirectional Depth Estimation via Alternative Hierarchical Attention
- M3DLayout: A Multi-Source Dataset of 3D Indoor Layouts and Structured Descriptions for 3D Generation
- AudioMoG: Guiding Audio Generation with Mixture-of-Guidance
- Video Panels for Long Video Understanding
- OctoPipe: Reducing Pipeline Bubbles for Heterogeneous Models via Co-Optimizing Partitioning, Placement, and Scheduling
- A Self-Adaptive Frequency Domain Network for Continuous Intraoperative Hypotension Prediction
- PD-Diag-Net: Clinical-Priors guided Network on Brain MRI for Auxiliary Diagnosis of Parkinson's Disease
- Do LLMs Understand Romanian Driving Laws? A Study on Multimodal and Fine-Tuned Question Answering
- Collaboration of Fusion and Independence: Hypercomplex-driven Robust Multi-Modal Knowledge Graph Completion
- FraudTransformer: Time-Aware GPT for Transaction Fraud Detection
- DFG-PCN: Point Cloud Completion with Degree-Flexible Point Graph
- INSTINCT: Instance-Level Interaction Architecture for Query-Based Collaborative Perception
- Confidence Aware SSD Ensemble with Weighted Boxes Fusion for Weapon Detection
- Estimating Time Series Foundation Model Transferability via In-Context Learning
- Merge Now, Regret Later: The Hidden Cost of Model Merging Is Adversarial Transferability
- FedDAPL: Toward Client-Private Generalization in Federated Learning
- Joint Hybrid Beamforming and Artificial Noise Design for Secure Multi-UAV ISAC Networks
- Hedonic Neurons: A Mechanistic Mapping of Latent Coalitions in Transformer MLPs
- Decentralized Dynamic Cooperation of Personalized Models for Federated Continual Learning
- Token Merging via Spatiotemporal Information Mining for Surgical Video Understanding
- Graph Neural Networks with Diversity-aware Neighbor Selection and Dynamic Multi-scale Fusion for Multivariate Time Series Forecasting
- Hermes: A Multi-Scale Spatial-Temporal Hypergraph Network for Stock Time Series Forecasting
- Calibration Meets Reality: Making Machine Learning Predictions Trustworthy
- Pure Node Selection for Imbalanced Graph Node Classification
- Virtual Nodes based Heterogeneous Graph Convolutional Neural Network for Efficient Long-Range Information Aggregation
- Aligning LLMs for Multilingual Consistency in Enterprise Applications
- From Past To Path: Masked History Learning for Next-Item Prediction in Generative Recommendation
- Color-Pair Guided Robust Zero-Shot 6D Pose Estimation and Tracking of Cluttered Objects on Edge Devices
- Sparse-Up: Learnable Sparse Upsampling for 3D Generation with High-Fidelity Textures
- Griffin: Generative Reference and Layout Guided Image Composition
- MotionVerse: A Unified Multimodal Framework for Motion Comprehension, Generation and Editing
- Leakage-Free Evaluation and Distribution-Robust Spatio-Temporal Graph Learning for Inductive Kriging
- Game-Oriented ASR Error Correction via RAG-Enhanced LLM
- Efficient Domain-Adaptive Multi-Task Dense Prediction with Vision Foundation Models
- Communication-aware Wide-Area Damping Control using Risk-Constrained Reinforcement Learning
- Generalizable Speech Deepfake Detection via Information Bottleneck Enhanced Adversarial Alignment
- BioVessel-Net and RetinaMix: Unsupervised Retinal Vessel Segmentation from OCTA Images
- GraphIFE: Rethinking Graph Imbalance Node Classification via Invariant Learning
- InteractMove: Text-Controlled Human-Object Interaction Generation in 3D Scenes with Movable Objects
- Spatially Parallel All-optical Neural Networks
- Efficient Audio-Visual Speech Separation with Discrete Lip Semantics and Multi-Scale Global-Local Attention
- Large Language Models and Futures Price Factors in China
- ZeroScene: A Zero-Shot Framework for 3D Scene Generation from a Single Image and Controllable Texture Editing
- VMDiff: Visual Mixing Diffusion for Limitless Cross-Object Synthesis
- Deep Taxonomic Networks for Unsupervised Hierarchical Prototype Discovery
- Characteristic Root Analysis and Regularization for Linear Time Series Forecasting
- Multi-Level Heterogeneous Knowledge Transfer Network on Forward Scattering Center Model for Limited Samples SAR ATR
- Timber: Training-free Instruct Model Refining with Base via Effective Rank
- Toward a Holistic Approach to Continual Model Merging
- Sketching Low-Rank Plus Diagonal Matrices
- EVO-LRP: Evolutionary Optimization of LRP for Interpretable Model Explanations
- LLM Hallucination Detection: HSAD
- Jackal: A Real-World Execution-Based Benchmark Evaluating Large Language Models on Text-to-JQL Tasks
- ML-Asset Management: Curation, Discovery, and Utilization
- Uncovering Vulnerabilities of LLM-Assisted Cyber Threat Intelligence
- Automated design of compound lenses with discrete-continuous optimization
- Benchmarking LLM-Assisted Blue Teaming via Standardized Threat Hunting
- Improving constraint-based discovery with robust propagation and reliable LLM priors
- Node Classification via Simplicial Interaction with Augmented Maximal Clique Selection
- Towards Interpretable Visual Decoding with Attention to Brain Representations
- RAVEN: Resilient Aerial Navigation via Open-Set Semantic Memory and Behavior Adaptation
- Pancreas Part Segmentation under Federated Learning Paradigm
- A Hierarchical Structure-Enhanced Personalized Recommendation Model for Traditional Chinese Medicine Formulas Based on KG Diffusion Guidance
- From Fields to Splats: A Cross-Domain Survey of Real-Time Neural Scene Representations
- Fusing Sequence Motifs and Pan-Genomic Features: Antimicrobial Resistance Prediction using an Explainable Lightweight 1D CNN-XGBoost Ensemble
- Automatic Speech Recognition for Greek Medical Dictation
- Disentanglement of Variations with Multimodal Generative Modeling
- End-to-End Deep Learning for Predicting Metric Space-Valued Outputs
- OVSeg3R: Learn Open-vocabulary Instance Segmentation from 2D via 3D Reconstruction
- Calibrated and Resource-Aware Super-Resolution for Reliable Driver Behavior Analysis