mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sun 23 Mar 2025

173 papers

  1. ExpertRAG: Efficient RAG with Mixture of Experts -- Optimizing Context Retrieval for Adaptive LLM ResponsesRetrieval-augmented generation → RAG pipeline design and evaluation +1
  2. Simulating Filter Bubble on Short-video Recommender System with Large Language Model AgentsLLM agents and tool use → Agentic recommender systems
  3. Agentic Business Process Management: Practitioner Perspectives on Agent Governance in Business ProcessesLLM agents and tool use → Software engineering coding agents
  4. Inverse Reinforcement Learning with Dynamic Reward Scaling for LLM AlignmentLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF +1
  5. A Novel Hat-Shaped Device-Cloud Collaborative Inference Framework for Large Language ModelsEfficient LLM inference and serving → Early exit and edge inference
  6. FedSKD: Aggregation-free Model-heterogeneous Federated Learning via Multi-dimensional Similarity Knowledge Distillation for Medical Image ClassificationKnowledge distillation → Federated, robust and private distillation
  7. CAE: Repurposing the Critic as an Explorer in Deep Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
  8. CustomKD: Customizing Large Vision Foundation for Edge Model Improvement via Knowledge DistillationKnowledge distillation → General knowledge distillation methods
  9. KEA: Keeping Exploration Alive by Proactively Coordinating Exploration StrategiesDeep reinforcement learning methods → Deep RL algorithms and representations
  10. Adaptive Multi-Fidelity Reinforcement Learning for Variance Reduction in Engineering Design OptimizationDeep reinforcement learning methods → RL theory and sample complexity
  11. ViVa: Video-Trained Value Functions for Guiding Online RL from Diverse DataDeep reinforcement learning methods → Deep RL algorithms and representations
  12. FROG: Fair Removal on GraphsLLM safety and security → Graph unlearning
  13. GINGER: Grounded Information Nugget-Based Generation of ResponsesRetrieval-augmented generation → RAG pipeline design and evaluation
  14. Unmasking Deceptive Visuals: Benchmarking Multimodal Large Language Models on Misleading Chart Question AnsweringMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
  15. Self-Attention Diffusion Models for Zero-Shot Biomedical Image Segmentation: Unlocking New Frontiers in Medical ImagingDiffusion models → Medical imaging and segmentation
  16. MAO: Efficient Model-Agnostic Optimization of Prompt Tuning for Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  17. Adoption of Watermarking for Generative AI Systems in Practice and Implications under the new EU AI ActLLM safety and security → Watermarking generated content and models
  18. LongDiff: Training-Free Long Video Generation in One GoDiffusion models → Video generation
  19. LocDiff: Identifying Locations on Earth by Diffusing in the Hilbert SpaceDiffusion models → Inverse problems and image restoration
  20. AGIR: Assessing 3D Gait Impairment with Reasoning based on LLMsLLM reasoning → Clinical and biomedical applications
  21. TCFG: Tangential Damping Classifier-free GuidanceDiffusion models → Diffusion foundations and sampling
  22. MLLM-For3D: Adapting Multimodal Large Language Model for 3D Reasoning SegmentationLLM reasoning → Spatial and embodied reasoning +1
  23. MathAgent: Leveraging a Mixture-of-Math-Agent Framework for Real-World Multimodal Mathematical Error DetectionLLM reasoning → Mathematical reasoning +2
  24. Mitigating Reward Over-Optimization in RLHF via Behavior-Supported RegularizationLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  25. GeoBenchX: Benchmarking LLMs in Agent Solving Multistep Geospatial TasksLLM agents and tool use → Multimodal and embodied agents
  26. Detection of Somali-written Fake News and Toxic Messages on the Social Media Using Transformer-based Language ModelsLLM safety and security → Safety alignment, refusal and guardrails
  27. Unraveling the Effects of Synthetic Data on End-to-End Autonomous DrivingWorld models → World models for autonomous driving +1
  28. D2LoRA: Data-Driven LoRA Initialization for Low Resource TasksLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  29. Unified Geometry and Color Compression Framework for Point Clouds via Generative Diffusion PriorsDiffusion models → 3D, point cloud and scene generation
  30. A Multi-Model Adaptation of Speculative Decoding for ClassificationEfficient LLM inference and serving → Speculative decoding
  31. Mind with Eyes: from Language Reasoning to Multimodal ReasoningLLM reasoning → Multimodal reasoning
  32. Long Is More Important Than Difficult for Training Reasoning ModelsLLM reasoning → Test-time compute and efficient thinking
  33. Reinforcement Learning-based Self-adaptive Differential Evolution through Automated Landscape Feature LearningDeep reinforcement learning methods → RL for games and combinatorial optimization
  34. Surrogate Learning in Meta-Black-Box Optimization: A Preliminary StudyDeep reinforcement learning methods → RL for games and combinatorial optimization
  35. SceneSplat: Gaussian Splatting-based Scene Understanding with Vision-Language PretrainingMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  36. Expanding the Boundaries of Vision Prior Knowledge in Multi-modal Large Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  37. OmnimatteZero: Fast Training-free Omnimatte with Pre-trained Video Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
  38. Lost in Cultural Translation: Do LLMs Struggle with Math Across Cultural Contexts?LLM reasoning → Mathematical reasoning
  39. Retrieval Augmented Generation and Understanding in Vision: A Survey and New OutlookRetrieval-augmented generation → Multimodal RAG
  40. Vision-R1: Evolving Human-Free Alignment in Large Vision-Language Models via Vision-Guided Reinforcement LearningMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
  41. Reason2Attack: Jailbreaking Text-to-Image Models via LLM ReasoningLLM reasoning → Reasoning for agents, planning and code +1
  42. Optimizing Navigation And Chemical Application in Precision Agriculture With Deep Reinforcement Learning And Conditional Action TreeDeep reinforcement learning methods → RL for energy, networks and operations
  43. Trade-offs in Large Reasoning Models: An Empirical Analysis of Deliberative and Adaptive Reasoning over Foundational CapabilitiesLLM reasoning → Test-time compute and efficient thinking
  44. Understanding the Effects of RLHF on the Quality and Detectability of LLM-Generated TextsLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  45. Smoke and Mirrors: Jailbreaking LLM-based Code Generation via Implicit Malicious PromptsLLM safety and security → Jailbreaking
  46. Selecting and Pruning: A Differentiable Causal Sequentialized State-Space Model for Two-View Correspondence LearningState-space sequence models (S4, Mamba) → Vision Mamba backbones
  47. Experience Retrieval-Augmentation with Electronic Health Records Enables Accurate Discharge QARetrieval-augmented generation → Medical and biomedical RAG
  48. STShield: Single-Token Sentinel for Real-Time Jailbreak Detection in Large Language ModelsLLM safety and security → Jailbreaking
  49. Debiasing Multimodal Large Language Models via Noise-Aware Preference OptimizationMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
  50. WindowKV: Task-Adaptive Group-Wise KV Cache Window Selection for Efficient LLM InferenceEfficient LLM inference and serving → KV cache optimization
  51. Guided Diffusion for the Extension of Machine Vision to Human Visual PerceptionDiffusion models → Diffusion for compression and wireless
  52. GLADMamba: Unsupervised Graph-Level Anomaly Detection Powered by Selective State Space ModelState-space sequence models (S4, Mamba) → Time series forecasting with SSMs
  53. Dynamic Topic Analysis in Academic Journals using Convex Non-negative Matrix Factorization Method
  54. Recommendation System in Advertising and Streaming Media: Unsupervised Data Enhancement Sequence Suggestions
  55. A Theoretical Framework for Graph-based Digital Twins for Supply Chain Management and Optimization
  56. Learning to Interfere in Non-Orthogonal Multiple-Access Joint Source-Channel Coding
  57. CLCR: Contrastive Learning-based Constraint Reordering for Efficient MILP Solving
  58. Leveraging Large Language Models for Automated Causal Loop Diagram Generation: Enhancing System Dynamics Modeling through Curated Prompting Techniques
  59. A Novel Two-Phase Cooperative Co-evolution Framework for Large-Scale Global Optimization with Complex Overlapping
  60. Payload-Aware Intrusion Detection with CMAE and Large Language Models
  61. "Whose Side Are You On?" Estimating Ideology of Political and News Content Using Large Language Models and Few-shot Demonstration Selection
  62. Enhanced prediction of spine surgery outcomes using advanced machine learning techniques and oversampling methods
  63. LLMs in the Classroom: Outcomes and Perceptions of Questions Written with the Aid of AI
  64. HH4AI: A methodological Framework for AI Human Rights impact assessment under the EUAI ACT
  65. SG-Tailor: Inter-Object Commonsense Relationship Reasoning for Scene Graph Manipulation
  66. Balanced Direction from Multifarious Choices: Arithmetic Meta-Learning for Domain Generalization
  67. SplitFrozen: Split Learning with Device-side Model Frozen for Fine-Tuning LLM on Heterogeneous Resource-Constrained Devices
  68. LoRA Subtraction for Drift-Resistant Space in Exemplar-Free Continual Learning
  69. A Physical and Mathematical Framework for the Semantic Theory of Evolution
  70. Confronting Catastrophic Risk: The International Obligation to Regulate Artificial Intelligence
  71. Generative Data Imputation for Sparse Learner Performance Data Using Generative Adversarial Imputation Networks
  72. Threshold Crossings as Tail Events for Catastrophic AI Risk
  73. ShED-HD: A Shannon Entropy Distribution Framework for Lightweight Hallucination Detection on Edge Devices
  74. Collaborating with AI Agents: Field Experiments on Teamwork, Productivity, and Performance
  75. Enhance GNNs with Reliable Confidence Estimation via Adversarial Calibration Learning
  76. PG-SAM: Prior-Guided SAM with Medical for Multi-organ Segmentation
  77. Mapping Hymns and Organizing Concepts in the Rigveda: Quantitatively Connecting the Vedic Suktas
  78. DeLoRA: Decoupling Angles and Strength in Low-rank Adaptation
  79. A Framework for Finding Local Saddle Points in Two-Player Zero-Sum Black-Box Games
  80. MammAlps: A multi-view video behavior monitoring dataset of wild mammals in the Swiss Alps
  81. Theory-to-Practice Gap for Neural Networks and Neural Operators
  82. Adaptive Rank Allocation: Speeding Up Modern Transformers with RaNA Adapters
  83. A Study on Neuro-Symbolic Artificial Intelligence: Healthcare Perspectives
  84. LakotaBERT: A Transformer-based Model for Low Resource Lakota Language
  85. SimMotionEdit: Text-Based Human Motion Editing with Motion Similarity Prediction
  86. Iterative Multi-Agent Reinforcement Learning: A Novel Approach Toward Real-World Multi-Echelon Inventory Optimization
  87. Shapley-Guided Utility Learning for Effective Graph Inference Data Valuation
  88. Quantile-Based Randomized Kaczmarz for Corrupted Tensor Linear Systems
  89. Exploring Energy Landscapes for Minimal Counterfactual Explanations: Applications in Cybersecurity and Beyond
  90. Exploring Topic Trends in COVID-19 Research Literature using Non-Negative Matrix Factorization
  91. Adaptive Physics-informed Neural Networks: A Survey
  92. Causality-Aware Next Location Prediction Framework based on Human Mobility Stratification
  93. Training A Neural Network For Partially Occluded Road Sign Identification In The Context Of Autonomous Vehicles
  94. Enhancing Software Vulnerability Detection Using Code Property Graphs and Convolutional Neural Networks
  95. Strategic Prompt Pricing for AIGC Services: A User-Centric Approach
  96. Evaluating Negative Sampling Approaches for Neural Topic Models
  97. SNRAware: Improved Deep Learning MRI Denoising with SNR Unit Training and G-factor Map Augmentation
  98. Active Inference for Energy Control and Planning in Smart Buildings and Communities
  99. DiffusionTalker: Efficient and Compact Speech-Driven 3D Talking Head via Personalizer-Guided Distillation
  100. Decorum: A Language-Based Approach For Style-Conditioned Synthesis of Indoor 3D Scenes
All 173
  1. Efficient Deep Learning Approaches for Processing Ultra-Widefield Retinal Imaging
  2. PHT-CAD: Efficient CAD Parametric Primitive Analysis with Progressive Hierarchical Tuning
  3. Machine learning based animal emotion classification using audio signals
  4. An Image-like Diffusion Method for Human-Object Interaction Detection
  5. End-to-End Implicit Neural Representations for Classification
  6. Feature Learning beyond the Lazy-Rich Dichotomy: Insights from Representational Geometry
  7. PanoGS: Gaussian-based Panoptic Segmentation for 3D Open Vocabulary Scene Understanding
  8. AgentRxiv: Towards Collaborative Autonomous Research
  9. M3Net: Multimodal Multi-task Learning for 3D Detection, Segmentation, and Occupancy Prediction in Autonomous Driving
  10. Informer in Algorithmic Investment Strategies on High Frequency Bitcoin Data
  11. Clarifying Misconceptions in COVID-19 Vaccine Sentiment and Stance Analysis and Their Implications for Vaccine Hesitancy Mitigation: A Systematic Review
  12. Anomize: Better Open Vocabulary Video Anomaly Detection
  13. HyperNOs: Automated and Parallel Library for Neural Operators Research
  14. Temporal Relation Extraction in Clinical Texts: A Span-based Graph Transformer Approach
  15. Vehicular Road Crack Detection with Deep Learning: A New Online Benchmark for Comprehensive Evaluation of Existing Algorithms
  16. Model-Guardian: Protecting against Data-Free Model Stealing Using Gradient Representations and Deceptive Predictions
  17. WISE: A Framework for Gigapixel Whole-Slide-Image Lossless Compression
  18. PanopticSplatting: End-to-End Panoptic Gaussian Splatting
  19. On the effectiveness of LLMs for automatic grading of open-ended questions in Spanish
  20. Self-Explaining Neural Networks for Business Process Monitoring
  21. Unseen from Seen: Rewriting Observation-Instruction Using Foundation Models for Augmenting Vision-Language Navigation
  22. Dynamic Allocation Hypernetwork with Adaptive Model Recalibration for FCL
  23. Dynamic Task Vector Grouping for Efficient Multi-Task Prompt Tuning
  24. Investigating Recent Large Language Models for Vietnamese Machine Reading Comprehension
  25. PolarFree: Polarization-based Reflection-free Imaging
  26. (G)I-DLE: Generative Inference via Distribution-preserving Logit Exclusion with KL Divergence Minimization for Constrained Decoding
  27. Interpretable Feature Interaction via Statistical Self-supervised Learning on Tabular Data
  28. DualCP: Rehearsal-Free Domain-Incremental Learning via Dual-Level Concept Prototype
  29. Multiple-Particle Autofocusing Algorithm Using Axial Resolution and Morphological Analyses Based on Digital Holography
  30. Vehicle-Scene Interaction: A Text-Driven 3D Lidar Place Recognition Method for Autonomous Driving
  31. Anomaly Detection and Localization for Speech Deepfakes via Feature Pyramid Matching
  32. Decision from Suboptimal Classifiers: Excess Risk Pre- and Post-Calibration
  33. Regularization of ML models for Earth systems by using longer model timesteps
  34. Scalable physics-informed deep generative model for solving forward and inverse stochastic differential equations
  35. Finsler Multi-Dimensional Scaling: Manifold Learning for Asymmetric Dimensionality Reduction and Embedding
  36. Personalized Language Models via Privacy-Preserving Evolutionary Model Merging
  37. SymmCompletion: High-Fidelity and High-Consistency Point Cloud Completion with Symmetry Guidance
  38. Instructing the Architecture Search for Spatial-temporal Sequence Forecasting with LLM
  39. Predicting Multitasking in Manual and Automated Driving with Optimal Supervisory Control
  40. Geometric Constrained Non-Line-of-Sight Imaging
  41. Taste More, Taste Better: Diverse Data and Strong Model Boost Semi-Supervised Crowd Counting
  42. Histomorphology-Guided Prototypical Multi-Instance Learning for Breast Cancer WSI Classification
  43. Co-SemDepth: Fast Joint Semantic Segmentation and Depth Estimation on Aerial Images
  44. PIM: Physics-Informed Multi-task Pre-training for Improving Inertial Sensor-Based Human Activity Recognition
  45. Shot Sequence Ordering for Video Editing: Benchmarks, Metrics, and Cinematology-Inspired Computing Methods
  46. PhysTwin: Physics-Informed Reconstruction and Simulation of Deformable Objects from Videos
  47. PathoHR: Breast Cancer Survival Prediction on High-Resolution Pathological Images
  48. Real-World Remote Sensing Image Dehazing: Benchmark and Baseline
  49. Won: Establishing Best Practices for Korean Financial NLP
  50. Dynamic Gradient Sparse Update for Edge Training
  51. On the Origins of Sampling Bias: Implications on Fairness Measurement and Mitigation
  52. Human-AI Interaction and User Satisfaction: Empirical Evidence from Online Reviews of AI Products
  53. SLIDE: Sliding Localized Information for Document Extraction
  54. Equivariant Machine Learning Interatomic Potentials with Global Charge Redistribution
  55. Supervised Manifold Learning for Functional Data
  56. Data-Efficient Deep Operator Network for Unsteady Flow: A Multi-Fidelity Approach with Physics-Guided Subsampling
  57. FisherTune: Fisher-Guided Robust Tuning of Vision Foundation Models for Domain Generalized Segmentation
  58. Cross-Domain Underwater Image Enhancement Guided by No-Reference Image Quality Assessment: A Transfer Learning Approach
  59. An Empirical Study of the Role of Incompleteness and Ambiguity in Interactions with Large Language Models
  60. Dataset Distillation for Quantum Neural Networks
  61. TransAnimate: Taming Layer Diffusion to Generate RGBA Video
  62. WLB-LLM: Workload-Balanced 4D Parallelism for Large Language Model Training
  63. Predicting performance-related properties of refrigerant based on tailored small-molecule functional group contribution
  64. Learning Where and What to Restore for Composite Image Restoration
  65. Semi-supervised Semantic Segmentation with Multi-Constraint Consistency Learning
  66. Financial Wind Tunnel: A Retrieval-Augmented Market Simulator
  67. Does GCL Need a Large Number of Negative Samples? Enhancing Graph Contrastive Learning with Effective and Efficient Negative Sampling
  68. Finding Stable Subnetworks at Initialization with Dataset Distillation
  69. MedPlan: A Two-Stage RAG-Based System for Personalized Medical Plan Generation
  70. What Time Tells Us? An Explorative Study of Time Awareness Learned from Static Images
  71. Real-time Global Illumination for Dynamic 3D Gaussian Scenes
  72. Multi-Disease-Aware Training Strategy for Cardiac MR Image Segmentation
  73. Generative Learner for Distributional Causal Effects