Papers
Wed 4 Jun 2025
471 papers
- Simulating Human Behavior with the Psychological-mechanism Agent: Integrating Feeling, Thought, and ActionLLM agents and tool use → Social simulation and multi-agent debate
- Training a Scientific Reasoning Model for ChemistryLLM reasoning → Clinical and biomedical applications
- Mechanistic Interpretability of Diffusion Models: Circuit-Level Analysis and Causal ValidationDiffusion models → Diffusion foundations and sampling +1
- Self-Composing Policies for Scalable Continual Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- T2-RAGBench: Text-and-Table Benchmark for Evaluating Retrieval-Augmented GenerationRetrieval-augmented generation → RAG robustness and adaptive retrieval
- RedDebate: Safer Responses Through Multi-Agent Red Teaming DebatesLLM agents and tool use → Social simulation and multi-agent debate +1
- MANBench: Is Your Multimodal Model Smarter than Human?Multimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- RoE-FND: A Case-Based Reasoning Approach with Dual Verification for Fake News Detection via LLMsLLM reasoning → Multimodal reasoning
- CyclicReflex: Improving Reasoning Models via Cyclical Reflection Token SchedulingLLM reasoning → Test-time compute and efficient thinking
- Beyond the Norm: A Survey of Synthetic Data Generation for Rare EventsSynthetic data and self-improvement for LLMs → Model collapse from synthetic data
- SiLIF: Structured State Space Model Dynamics and Parametrization for Spiking Neural NetworksState-space sequence models (S4, Mamba) → Core SSM architectures for language
- AI Agent Behavioral ScienceLLM agents and tool use → Social simulation and multi-agent debate
- SAVVY: Spatial Awareness via Audio-Visual LLMs through Seeing and HearingLLM reasoning → Audio-language model reasoning
- Vision-Language Models Mistake Head Orientation for Gaze Direction: Nonverbal Conversation CuesMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Homogeneous Keys, Heterogeneous Values: Exploiting Local KV Cache Asymmetry for Long-Context LLMsEfficient LLM inference and serving → KV cache optimization
- Object-level Self-Distillation for Vision PretrainingKnowledge distillation → Detection and dense prediction distillation
- AD-EE: Early Exiting for Fast and Reliable Vision-Language Models in Autonomous DrivingMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection +2
- Robust Anti-Backdoor Instruction Tuning in LVLMsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- SGN-CIRL: Scene Graph-based Navigation with Curriculum, Imitation, and Reinforcement LearningDeep reinforcement learning methods → RL for robot navigation and UAV control
- Matching Markets Meet LLMs: Algorithmic Reasoning with Ranked PreferencesLLM reasoning → Test-time compute and efficient thinking
- Leveraging Reward Models for Guiding Code Review Comment GenerationLLM alignment / RLHF / preference optimisation → Process reward models for reasoning
- Aligning Large Language Models with Implicit Preferences from User-Generated ContentLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Watermarking Degrades Alignment in Language Models: Analysis and MitigationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods +1
- RETRO SYNFLOW: Discrete Flow Matching for Accurate and Diverse Single-Step RetrosynthesisDiffusion models → Flow matching, time series and science
- HMAR: Efficient Hierarchical Masked Auto-Regressive Image GenerationDiffusion models → Image generation, text-to-image and editing
- MedAgentGym: A Scalable Agentic Training Environment for Code-Centric Reasoning in Biomedical Data ScienceLLM reasoning → Clinical and biomedical applications +1
- Unsupervised Meta-Testing with Conditional Neural Processes for Hybrid Meta-Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- Bridging the Performance Gap Between Target-Free and Target-Based Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- Is Perturbation-Based Image Protection Disruptive to Image Editing?Diffusion models → Robustness, privacy and adversarial aspects
- Through the Stealth Lens: Attention-Aware Defenses Against Poisoning in RAGRetrieval-augmented generation → Privacy and security of RAG
- A Statistical Physics of Language Model ReasoningLLM reasoning → Test-time compute and efficient thinking
- WorldPrediction: A Benchmark for High-level World Modeling and Long-horizon Procedural PlanningWorld models → Embodied and robot world models
- A Risk-Aware Reinforcement Learning Reward for Financial TradingDeep reinforcement learning methods → Adversarial robustness and RL in finance
- HuGeDiff: 3D Human Generation via Diffusion with Gaussian SplattingDiffusion models → 3D, point cloud and scene generation
- RoboRefer: Towards Spatial Referring with Reasoning in Vision-Language Models for RoboticsLLM reasoning → Spatial and embodied reasoning +1
- RedRFT: A Light-Weight Benchmark for Reinforcement Fine-Tuning-Based Red TeamingLLM safety and security → Prompt injection and agent security
- The Cost of Dynamic Reasoning: Demystifying AI Agents and Test-Time Scaling from an AI Infrastructure PerspectiveLLM reasoning → Reasoning for agents, planning and code +1
- A Lyapunov Drift-Plus-Penalty Method Tailored for Reinforcement Learning with Queue StabilityDeep reinforcement learning methods → RL theory and sample complexity
- Relational reasoning and inductive bias in transformers and large language modelsLLM reasoning → Reasoning benchmarks and evaluation
- Backbone Augmented Training for AdaptationsDiffusion models → Image generation, text-to-image and editing
- Automated Skill Discovery for Language Agents through Exploration and Iterative FeedbackLLM agents and tool use → Agent skill learning and evolution
- DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and ExperienceLLM reasoning → Knowledge- and tool-augmented reasoning
- Evaluating MLLMs with Multimodal Multi-image Reasoning BenchmarkLLM reasoning → Multimodal reasoning +2
- RSVP: Reasoning Segmentation via Visual Prompting and Multi-modal Chain-of-ThoughtLLM reasoning → Multimodal reasoning +1
- Voyager: Long-Range and World-Consistent Video Diffusion for Explorable 3D Scene GenerationDiffusion models → 3D, point cloud and scene generation
- Struct2D: A Perception-Guided Framework for Spatial Reasoning in MLLMsLLM reasoning → Spatial and embodied reasoning +1
- Pseudo-Simulation for Autonomous DrivingEnd-to-end autonomous driving → Adversarial scenarios and safety testing
- OWMM-Agent: Open World Mobile Manipulation With Multi-modal Agentic Data SynthesisLLM agents and tool use → Multimodal and embodied agents +1
- FullDiT2: Efficient In-Context Conditioning for Video Diffusion TransformersDiffusion models → Video generation
- Diffusion Domain Teacher: Diffusion Guided Domain Adaptive Object DetectorDiffusion models → Image generation, text-to-image and editing
- Does Thinking More always Help? Mirage of Test-Time Scaling in Reasoning ModelsLLM reasoning → Test-time compute and efficient thinking
- Advancing Multimodal Reasoning: From Optimized Cold Start to Staged Reinforcement LearningLLM reasoning → Multimodal reasoning +1
- EPiC: Towards Lossless Speedup for Reasoning Training through Edge-Preserving CoT CondensationLLM reasoning → Prompting and chain-of-thought reasoning
- Cascadia: An Efficient Cascade Serving System for Large Language ModelsEfficient LLM inference and serving → Serving systems and request scheduling
- R-Search: Empowering LLM Reasoning with Search via Multi-Reward Reinforcement LearningLLM reasoning → Knowledge- and tool-augmented reasoning
- Long or short CoT? Investigating Instance-level Switch of Large Reasoning ModelsLLM reasoning → Prompting and chain-of-thought reasoning
- SuperWriter: Reflection-Driven Long-Form Generation with Large Language ModelsLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- OpenThoughts: Data Recipes for Reasoning ModelsLLM reasoning → Reasoning benchmarks and evaluation
- Physics-Constrained Flow Matching: Sampling Generative Models with Hard ConstraintsDiffusion models → Flow matching, time series and science
- Horizon Reduction Makes RL ScalableOffline RL and imitation learning from data → Offline RL algorithms
- Image Editing As Programs with Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- SLAC: Safe and Efficient Real-Robot Reinforcement Learning via Unsupervised Simulation Pre-TrainingDeep reinforcement learning methods → RL for robot locomotion and manipulation
- MMR-V: What's Left Unsaid? A Benchmark for Multimodal Deep Reasoning in VideosLLM reasoning → Multimodal reasoning +1
- macOSWorld: A Multilingual Interactive Benchmark for GUI AgentsLLM agents and tool use → GUI and mobile agents
- TRiSM for Agentic AI: A Review of Trust, Risk, and Security Management in LLM-based Agentic Multi-Agent SystemsLLM agents and tool use → Agent threats, guardrails and governance
- Guided Speculative Inference for Efficient Test-Time Alignment of LLMsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods +1
- Rectified Sparse AttentionEfficient LLM inference and serving → KV cache optimization
- TextAtari: 100K Frames Game Playing with Language AgentsLLM agents and tool use → Reinforcement learning for LLM agents
- Multimodal Tabular Reasoning with Privileged Structured InformationLLM reasoning → Knowledge- and tool-augmented reasoning
- LaF-GRPO: In-Situ Navigation Instruction Generation for the Visually Impaired via GRPO with LLM-as-Follower RewardLLM reasoning → Spatial and embodied reasoning
- Progressive Mastery: Customized Curriculum Learning with Guided Prompting for Mathematical ReasoningLLM reasoning → Reinforcement learning for reasoning
- Crowd-SFT: Crowdsourcing for LLM AlignmentLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Lacuna Inc. at SemEval-2025 Task 4: LoRA-Enhanced Influence-Based Unlearning for LLMsLLM safety and security → Machine unlearning
- Think Like a Person Before Responding: A Multi-Faceted Evaluation of Persona-Guided LLMs for Countering HateLLM reasoning → Reasoning benchmarks and evaluation
- Autonomous Vehicle Lateral Control Using Deep Reinforcement Learning with MPC-PID DemonstrationEnd-to-end autonomous driving → Reinforcement learning for driving +1
- Mitigating Hallucinations in Large Vision-Language Models via Entity-Centric Multimodal Preference OptimizationMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs +1
- Privacy and Security Threat for OpenAI GPTsLLM safety and security → Prompt injection and agent security
- Rex-Thinker: Grounded Object Referring via Chain-of-Thought ReasoningLLM reasoning → Multimodal reasoning
- AI Agents for Conversational Patient Triage: Preliminary Simulation-Based Evaluation with Real-World EHR DataLLM agents and tool use → Medical and scientific domain agents
- Interpretability by Design for Efficient Multi-Objective Reinforcement LearningDeep reinforcement learning methods → RL for games and combinatorial optimization
- AgentMisalignment: Measuring the Propensity for Misaligned Behaviour in LLM-Based AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Vocabulary-free few-shot learning for Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Stronger Baselines for Retrieval-Augmented Generation with Long-Context Language ModelsRetrieval-augmented generation → RAG pipeline design and evaluation
- Solving Inverse Problems via Diffusion-Based Priors: An Approximation-Free Ensemble Sampling ApproachDiffusion models → Inverse problems and image restoration
- Structured Pruning for Diverse Best-of-N Reasoning OptimizationLLM reasoning → Test-time compute and efficient thinking
- From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed GroundingLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Graph Counselor: Adaptive Graph Exploration via Multi-Agent Synergy to Enhance LLM ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning +2
- Diffusion-based Cumulative Adversarial Purification for Vision Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- Vision Remember: Recovering Visual Information in Efficient LVLM with Vision Feature ResamplingMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- Multiple Stochastic Prompt Tuning for Few-shot Adaptation under Extreme Domain ShiftMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- More or Less Wrong: A Benchmark for Directional Bias in LLM Comparative ReasoningLLM reasoning → Mathematical reasoning
- HSSBench: Benchmarking Humanities and Social Sciences Ability for Multimodal Large Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Boosting Open-Source LLMs for Program Repair via Reasoning Transfer and LLM-Guided Reinforcement LearningLLM reasoning → Reasoning for agents, planning and code
- Magic Mushroom: A Customizable Benchmark for Fine-grained Analysis of Retrieval Noise Erosion in RAG SystemsRetrieval-augmented generation → RAG robustness and adaptive retrieval
- Prompt Candidates, then Distill: A Teacher-Student Framework for LLM-driven Data AnnotationKnowledge distillation → Knowledge distillation for LLMs
- Vulnerability-Aware Alignment: Mitigating Uneven Forgetting in Harmful Fine-TuningLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- Algorithm- and Data-Dependent Generalization Bounds for Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- AssetOpsBench: Benchmarking AI Agents for Task Automation in Industrial Asset Operations and MaintenanceLLM agents and tool use → Software engineering coding agents
- Multi-objective Aligned Bidword Generation Model for E-commerce Search AdvertisingLLM alignment / RLHF / preference optimisation → Preference alignment for recommenders and RAG
- Personalized MR-Informed Diffusion Models for 3D PET Image ReconstructionDiffusion models → Medical imaging and segmentation
All 471
- ClozeMath: Improving Mathematical Reasoning in Language Models by Learning to Fill EquationsLLM reasoning → Mathematical reasoning
- AhaKV: Adaptive Holistic Attention-Driven KV Cache Eviction for Efficient Inference of Large Language ModelsEfficient LLM inference and serving → KV cache optimization
- Scaling CrossQ with Weight NormalizationDeep reinforcement learning methods → Deep RL algorithms and representations
- PPO in the Fisher-Rao geometryDeep reinforcement learning methods → RL theory and sample complexity
- MoodAngels: A Retrieval-augmented Multi-agent Framework for Psychiatry DiagnosisLLM agents and tool use → Medical and scientific domain agents
- Verbalized Confidence Triggers Self-Verification: Emergent Behavior Without Explicit Reasoning SupervisionLLM reasoning → Test-time compute and efficient thinking
- On the Closed-Form of Flow Matching: Generalization Does Not Arise from Target StochasticityDiffusion models → Flow matching, time series and science
- AetherVision-Bench: An Open-Vocabulary RGB-Infrared Benchmark for Multi-Angle Segmentation across Aerial and Ground PerspectivesWorld models → World models for navigation
- ScoreRAG: A Retrieval-Augmented Generation Framework with Consistency-Relevance Scoring and Structured Summarization for News GenerationRetrieval-augmented generation → RAG pipeline design and evaluation
- AdaDecode: Accelerating LLM Decoding with Adaptive Layer ParallelismLLM reasoning → Test-time compute and efficient thinking +1
- Robust Preference Optimization via Dynamic Target MarginsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Reason from Future: Reverse Thought Chain Enhances LLM ReasoningLLM reasoning → Prompting and chain-of-thought reasoning
- MambaNeXt-YOLO: A Hybrid State Space Model for Real-time Object DetectionState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
- EmoArt: A Multidimensional Dataset for Emotion-Aware Artistic GenerationDiffusion models → Image generation, text-to-image and editing
- RewardAnything: Generalizable Principle-Following Reward ModelsLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Learning to Insert [PAUSE] Tokens for Better ReasoningLLM reasoning → Test-time compute and efficient thinking
- VLMs Can Aggregate Scattered Training PatchesMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- Orak: A Foundational Benchmark for Training and Evaluating LLM Agents on Diverse Video GamesLLM agents and tool use → Reinforcement learning for LLM agents
- Analyzing Transformer Models and Knowledge Distillation Approaches for Image Captioning on Edge AIKnowledge distillation → General knowledge distillation methods
- ControlThinker: Unveiling Latent Semantics for Controllable Image Generation through Visual ReasoningLLM reasoning → Multimodal reasoning
- Resolving Task Objective Conflicts in Unified Model via Task-Aware Mixture-of-ExpertsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
- BiMa: Towards Biases Mitigation for Text-Video Retrieval via Scene Element GuidanceMultimodal LLMs / vision-language models → Social bias and fairness in VLMs
- SwitchVLA: Execution-Aware Task Switching for Vision-Language-Action ModelsVision-language-action models → Failure recovery and robustness
- Exchange of Perspective Prompting Enhances Reasoning in Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
- FreePRM: Training Process Reward Models Without Ground Truth Process LabelsLLM reasoning → Reinforcement learning for reasoning +1
- MiMo-VL Technical ReportLLM reasoning → Multimodal reasoning +1
- Confidence-Guided Human-AI Collaboration: Reinforcement Learning with Distributional Proxy Value Propagation for Autonomous DrivingEnd-to-end autonomous driving → Reinforcement learning for driving +1
- POSS: Position Specialist Generates Better Draft for Speculative DecodingEfficient LLM inference and serving → Speculative decoding
- ConsistentChat: Building Skeleton-Guided Consistent Multi-Turn Dialogues for Large Language Models from ScratchSynthetic data and self-improvement for LLMs → Code and instruction data synthesis
- BPO: Revisiting Preference Modeling in Direct Preference OptimizationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- CogniPair: From LLM Chatbots to Conscious AI Agents -- GNWT-Based Multi-Agent Digital Twins for Social Pairing -- Dating & Hiring ApplicationsLLM agents and tool use → Social simulation and multi-agent debate
- Debate, Reflect, and Distill: Multi-Agent Feedback with Tree-Structured Preference Optimization for Efficient Language Model EnhancementLLM reasoning → Reasoning for agents, planning and code +2
- Across Programming Language Silos: A Study on Cross-Lingual Retrieval-augmented Code GenerationRetrieval-augmented generation → RAG for code
- Go-Browse: Training Web Agents with Structured ExplorationLLM agents and tool use → Web, search, and research agents
- Video-Skill-CoT: Skill-based Chain-of-Thoughts for Domain-Adaptive Video ReasoningLLM reasoning → Multimodal reasoning
- VChatter: Exploring Generative Conversational Agents for Simulating Exposure Therapy to Reduce Social AnxietyLLM agents and tool use → Medical and scientific domain agents
- An Efficient Task-Oriented Dialogue Policy: Evolutionary Reinforcement Learning Injected by Elite IndividualsLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- DenseDPO: Fine-Grained Temporal Preference Optimization for Video Diffusion ModelsDiffusion models → Video generation +1
- CHIME: Conditional Hallucination and Integrated Multi-scale Enhancement for Time Series Diffusion ModelDiffusion models → Diffusion foundations and sampling
- ProRank: Prompt Warmup via Reinforcement Learning for Small Language Models RerankingRetrieval-augmented generation → Generation and context integration
- Facial Appearance Capture at Home with Patch-Level Reflectance PriorDiffusion models → Inverse problems and image restoration
- CORE: Constraint-Aware One-Step Reinforcement Learning for Simulation-Guided Neural Network Accelerator DesignDeep reinforcement learning methods → RL for energy, networks and operations
- MamFusion: Multi-Mamba with Temporal Fusion for Partially Relevant Video RetrievalState-space sequence models (S4, Mamba) → Video, motion and generative Mamba models
- Verification-Guided Falsification for Safe RL via Explainable Abstraction and Risk-Aware ExplorationDeep reinforcement learning methods → Safe and constrained RL
- VideoConviction: A Multimodal Benchmark for Human Conviction and Stock Market Recommendations
- Bohdi: Heterogeneous LLM Fusion with Automatic Data Exploration
- Tripartite Weight-Space Ensemble for Few-Shot Class-Incremental Learning
- Intelligent Routing for Sparse Demand Forecasting: A Comparative Evaluation of Selection Strategies
- LeanExplore: A search engine for Lean 4 declarations
- PRISM: A Transformer-based Language Model of Structured Clinical Event Data
- SAGE:Specification-Aware Grammar Extraction for Automated Test Case Generation with LLMs
- Improving Child Speech Recognition and Reading Mistake Detection by Using Prompts
- Fifteen Years of Child-Centered Long-Form Recordings: Promises, Resources, and Remaining Challenges to Validity
- Challenges in Automated Processing of Speech from Child Wearables: The Case of Voice Type Classifier
- On the Fundamental Impossibility of Hallucination Control in Large Language Models
- DURA-CPS: A Multi-Role Orchestrator for Dependability Assurance in LLM-Enabled Cyber-Physical Systems
- Transformer-Based Decomposition of Electrodermal Activity for Real-World Mental Health Applications
- Evaluating Large Language Model Capabilities in Assessing Spatial Econometrics Research
- Enhancing Decision-Making of Large Language Models via Actor-Critic
- El0ps: An Exact L0-regularized Problems Solver
- Relationship Detection on Tabular Data Using Statistical Analysis and Large Language Models
- Impact of COVID-19 on The Bullwhip Effect Across U.S. Industries
- Towards Foundation Model on Temporal Knowledge Graph Reasoning
- Better STEP, a format and dataset for boundary representation
- FERRET: Private Deep Learning Faster And Better Than DPSGD
- Automatically Detecting Amusing Games in Wordle
- SmoothRot: Combining Channel-Wise Scaling and Rotation for Quantization-Friendly LLMs
- QA-HFL: Quality-Aware Hierarchical Federated Learning for Resource-Constrained Mobile Devices with Heterogeneous Image Quality
- Differentially Private Federated k-Means Clustering with Server-Side Data
- A VLM-based Method for Visual Anomaly Detection in Robotic Scientific Laboratories
- Lorica: A Synergistic Fine-Tuning Framework for Advancing Personalized Adversarial Robustness
- Towards Efficient Speech-Text Jointly Decoding within One Speech Language Model
- DRE: An Effective Dual-Refined Method for Integrating Small and Large Language Models in Open-Domain Dialogue Evaluation
- The Latent Space Hypothesis: Toward Universal Medical Representation Learning
- BEAR: BGP Event Analysis and Reporting
- Pruning Everything, Everywhere, All at Once
- Schema Generation for Large Knowledge Graphs Using Large Language Models
- AuthGuard: Generalizable Deepfake Detection via Language Guidance
- "Don't Do That!": Guiding Embodied Systems through Large Language Model-based Constraint Generation
- FALO: Fast and Accurate LiDAR 3D Object Detection on Resource-Constrained Devices
- Towards Large-Scale Pose-Invariant Face Recognition Using Face Defrontalization
- SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL
- Multiscale guidance of protein structure prediction with heterogeneous cryo-EM data
- OrthoGrad Improves Neural Calibration
- Understanding and Meeting Practitioner Needs When Measuring Representational Harms Caused by LLM-Based Systems
- CogMath: Assessing LLMs' Authentic Mathematical Ability from a Human Cognitive Perspective
- On the Wasserstein Geodesic Principal Component Analysis of probability measures
- Comparative performance of ensemble models in predicting dental provider types: insights from fee-for-service data
- Classifying Dental Care Providers Through Machine Learning with Features Ranking
- Poisson Informed Retinex Network for Extreme Low-Light Image Enhancement
- Diffusion Transformer-based Universal Dose Denoising for Pencil Beam Scanning Proton Therapy
- Behavioural vs. Representational Systematicity in End-to-End Models: An Opinionated Survey
- Zero-Shot Open-Schema Entity Structure Discovery
- Neurosymbolic Artificial Intelligence for Robust Network Intrusion Detection: From Scratch to Transfer Learning
- Gradient Inversion Attacks on Parameter-Efficient Fine-Tuning
- An Expansion-Based Approach for Quantified Integer Programming
- Learning to Diagnose Privately: DP-Powered LLMs for Radiology Report Classification
- Selective Matching Losses -- Not All Scores Are Created Equal
- Photoreal Scene Reconstruction from an Egocentric Device
- Grokking and Generalization Collapse: Insights from textttHTSR theory
- KOALA++: Efficient Kalman-Based Optimization with Gradient-Covariance Products
- Leveraging Coordinate Momentum in SignSGD and Muon: Memory-Optimized Zero-Order
- An AI-Based Public Health Data Monitoring System
- Plugging Schema Graph into Multi-Table QA: A Human-Guided Framework for Reducing LLM Reliance
- Self-Supervised Contrastive Learning is Approximately Supervised Contrastive Learning
- Matter-of-Fact: A Benchmark for Verifying the Feasibility of Literature-Supported Claims in Materials Science
- Empaths at SemEval-2025 Task 11: Retrieval-Augmented Approach to Perceived Emotions Prediction
- Unpacking Let Alone: Human-Scale Models Generalize to a Rare Construction in Form but not Meaning
- Normalize Filters! Classical Wisdom for Deep Vision
- Can we reconstruct a dysarthric voice with the large speech model Parler TTS?
- Building a Few-Shot Cross-Domain Multilingual NLU Model for Customer Care
- MELABenchv1: Benchmarking Large Language Models against Smaller Fine-Tuned Models for Low-Resource Maltese NLP
- Hierarchical Text Classification Using Contrastive Learning Informed Path Guided Hierarchy
- Visualizing and Controlling Cortical Responses Using Voxel-Weighted Activation Maximization
- Replay Can Provably Increase Forgetting
- Domain Adaptation Method and Modality Gap Impact in Audio-Text Models for Prototypical Sound Classification
- Solving engineering eigenvalue problems with neural networks using the Rayleigh quotient
- Mechanistic Decomposition of Sentence Representations
- Fine-Tuning Video Transformers for Word-Level Bangla Sign Language: A Comparative Analysis for Classification Tasks
- Ice Hockey Puck Localization Using Contextual Cues
- Effects of Speaker Count, Duration, and Accent Diversity on Zero-Shot Accent Robustness in Low-Resource ASR
- Learning Smooth State-Dependent Traversability from Dense Point Clouds
- Even Faster Hyperbolic Random Forests: A Beltrami-Klein Wrapper Approach
- cuVSLAM: CUDA accelerated visual odometry and mapping
- Optical Physics-Based Generative Models
- BridgeNet: A Hybrid, Physics-Informed Machine Learning Framework for Solving High-Dimensional Fokker-Planck Equations
- ReXVQA: A Large-scale Visual Question Answering Benchmark for Generalist Chest X-ray Understanding
- Half-Layered Neural Networks
- You Only Train Once
- GEM: Empowering LLM for both Embedding Generation and Language Understanding
- Savage-Dickey density ratio estimation with normalizing flows for Bayesian model comparison
- Knowledge-guided Contextual Gene Set Analysis Using Large Language Models
- Softlog-Softmax Layers and Divergences Contribute to a Computationally Dependable Ensemble Learning
- Deep learning for predicting hauling fleet production capacity under uncertainties in open pit mines using real and simulated data
- Short-Term Power Demand Forecasting for Diverse Consumer Types to Enhance Grid Planning and Synchronisation
- AUTOCT: Automating Interpretable Clinical Trial Prediction with LLM Agents
- GARG-AML against Smurfing: A Scalable and Interpretable Graph-Based Framework for Anti-Money Laundering
- Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy
- Training-free AI for Earth Observation Change Detection using Physics Aware Neuromorphic Networks
- SSIMBaD: Sigma Scaling with SSIM-Guided Balanced Diffusion for AnimeFace Colorization
- Uncovering Insights of Compound Flooding with Data-Driven AI
- Autonomous Collaborative Scheduling of Time-dependent UAVs, Workers and Vehicles for Crowdsensing in Disaster Response
- LayerFlow: A Unified Model for Layer-aware Video Generation
- Object-centric 3D Motion Field for Robot Learning from Human Videos
- Efficient Knowledge Editing via Minimal Precomputation
- Seeing in the Dark: Benchmarking Egocentric 3D Vision with the Oxford Day-and-Night Dataset
- UNIC: Unified In-Context Video Editing
- Thinking Beyond Visibility: A Near-Optimal Policy Framework for Locally Interdependent Multi-Agent MDPs
- Sounding that Object: Interactive Object-Aware Image to Audio Generation
- Language-Image Alignment with Fixed Text Encoders
- A Few Moments Please: Scalable Graphon Learning via Moment Matching
- A Kernel-Based Approach for Accurate Steady-State Detection in Performance Time Series
- TracLLM: A Generic Framework for Attributing Long Context LLMs
- MACS: Multi-Agent Reinforcement Learning for Optimization of Crystal Structures
- What Makes Treatment Effects Identifiable? Characterizations and Estimators Beyond Unconfoundedness
- Understanding challenges to the interpretation of disaggregated evaluations of algorithmic fairness
- Lions and Muons: Optimization via Stochastic Frank-Wolfe under Heavy-Tailed Noise
- How to Use Graph Data in the Wild to Help Graph Anomaly Detection?
- SkipGPT: Dynamic Layer Pruning Reinvented with Token Awareness and Module Decoupling
- FlexGS: Train Once, Deploy Everywhere with Many-in-One Flexible 3D Gaussian Splatting
- Does Prompt Design Impact Quality of Data Imputation by LLMs?
- Estimation of the reduced density matrix and entanglement entropies using autoregressive networks
- N2: A Unified Python Package and Test Bench for Nearest Neighbor-Based Matrix Completion
- A Faster Generalized Two-Stage Approximate Top-K
- A Dataset for Addressing Patient's Information Needs related to Clinical Course of Hospitalization
- Person Re-Identification System at Semantic Level based on Pedestrian Attributes Ontology
- Establishing Trustworthy LLM Evaluation via Shortcut Neuron Analysis
- Are Lexicon-Based Tools Still the Gold Standard for Valence Analysis in Low-Resource Flemish?
- UniCUE: Unified Recognition and Generation Framework for Chinese Cued Speech Video-to-Speech Generation
- Plant Bioelectric Early Warning Systems: A Five-Year Investigation into Human-Plant Electromagnetic Communication
- CLAIM: An Intent-Driven Multi-Agent Framework for Analyzing Manipulation in Courtroom Dialogues
- Recent Advances in Medical Image Classification
- Incremental Gradient Descent with Small Epoch Counts is Surprisingly Slow on Ill-Conditioned Problems
- Contour Errors: Ego-Centric Matching for 3D Multi-Object Tracking Performance Evaluation
- A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks
- A Diffusion-Driven Temporal Super-Resolution and Spatial Consistency Enhancement Framework for 4D MRI imaging
- Multi-view Surface Reconstruction Using Normal and Reflectance Cues
- GlobalBuildingAtlas: An Open Global and Complete Dataset of Building Polygons, Heights and LoD1 3D Models
- AmbiK: Dataset of Ambiguous Tasks in Kitchen Environment
- Point Cloud Quality Assessment Using the Perceptual Clustering Weighted Graph (PCW-Graph) and Attention Fusion Network
- EuroLLM-9B: Technical Report
- LLMEval-Med: A Real-world Clinical Benchmark for Medical LLMs with Physician Validation
- A Novel Data Augmentation Approach for Automatic Speaking Assessment on Opinion Expressions
- Acoustically Precise Hesitation Tagging Is Essential for End-to-End Verbatim Transcription Systems
- Toward Beginner-Friendly LLMs for Language Learning: Controlling Difficulty in Conversation
- Optimal Transport-based Domain Alignment as a Preprocessing Step for Federated Learning
- Collaborative On-Sensor Array Cameras
- Towards generating more interpretable counterfactuals via concept vectors: a preliminary study on chest X-rays
- chemtrain-deploy: A parallel and scalable framework for machine learning potentials in million-atom MD simulations
- Video Deblurring with Deconvolution and Aggregation Networks
- Curse of Slicing: Why Sliced Mutual Information is a Deceptive Measure of Statistical Dependence
- High Accuracy, Less Talk (HALT): Reliable LLMs through Capability-Aligned Finetuning
- Explainability-Based Token Replacement on LLM-Generated Text
- WANDER: An Explainable Decision-Support Framework for HPC
- EV-Flying: an Event-based Dataset for In-The-Wild Recognition of Flying Objects
- On Support Samples of Next Word Prediction
- Similarity-based fuzzy clustering scientific articles: potentials and challenges from mathematical and computational perspectives
- Causal Path Alignment: Anchoring the Optimization Trajectory for Controllable In-Parameter Knowledge Editing
- LexTime: A Benchmark for Temporal Ordering of Legal Events
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