mlsanityData to 14 Oct 2026

Papers

New on arXiv

Thu 15 Aug 2024

230 papers

  1. Web Retrieval Agents for Evidence-Based Misinformation DetectionLLM agents and tool use → Web, search, and research agents
  2. The Future of Open Human FeedbackLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  3. Online Behavior Modification for Expressive User Control of RL-Trained RobotsDeep reinforcement learning methods → RL for robot locomotion and manipulation
  4. FactorLLM: Factorizing Knowledge via Mixture of Experts for Large Language ModelsMixture-of-experts → MoE large language models
  5. VerilogCoder: Autonomous Verilog Coding Agents with Graph-based Planning and Abstract Syntax Tree (AST)-based Waveform Tracing ToolLLM agents and tool use → Software engineering coding agents
  6. Retail-GPT: leveraging Retrieval Augmented Generation (RAG) for building E-commerce Chat AssistantsRetrieval-augmented generation → RAG pipeline design and evaluation
  7. Prefix Guidance: A Steering Wheel for Large Language Models to Defend Against Jailbreak AttacksLLM safety and security → Jailbreaking
  8. Graph Retrieval-Augmented Generation: A SurveyRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
  9. CRQBench: A Benchmark of Code Reasoning QuestionsLLM reasoning → Reasoning for agents, planning and code
  10. Lifelong Reinforcement Learning via NeuromodulationDeep reinforcement learning methods → Deep RL algorithms and representations
  11. D5RL: Diverse Datasets for Data-Driven Deep Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms +1
  12. Automated Design of Agentic SystemsLLM agents and tool use → General LLM agent frameworks and benchmarks
  13. Physics-Guided Reinforcement Learning System for Realistic Vehicle Active Suspension ControlDeep reinforcement learning methods → RL for autonomous driving and traffic
  14. CT4D: Consistent Text-to-4D Generation with Animatable MeshesDiffusion models → 3D, point cloud and scene generation
  15. METR: Image Watermarking with Large Number of Unique MessagesDiffusion models → Robustness, privacy and adversarial aspects
  16. What Secrets Do Your Manifolds Hold? Understanding the Local Geometry of Generative ModelsDiffusion models → Diffusion foundations and sampling
  17. Accelerated Image-Aware Generative Diffusion ModelingDiffusion models → Diffusion foundations and sampling
  18. Benchmarking the Capabilities of Large Language Models in Transportation System Engineering: Accuracy, Consistency, and Reasoning BehaviorsLLM reasoning → Chain-of-thought reasoning for driving
  19. BAM! Just Like That: Simple and Efficient Parameter Upcycling for Mixture of ExpertsMixture-of-experts → MoE large language models
  20. Derivative-Free Guidance in Continuous and Discrete Diffusion Models with Soft Value-Based DecodingDiffusion models → Diffusion foundations and sampling
  21. Conformalized Answer Set Prediction for Knowledge Graph EmbeddingLLM reasoning → Knowledge- and tool-augmented reasoning
  22. A Conflicts-free, Speed-lossless KAN-based Reinforcement Learning Decision System for Interactive Driving in RoundaboutsEnd-to-end autonomous driving → Reinforcement learning for driving +1
  23. DaRec: A Disentangled Alignment Framework for Large Language Model and Recommender SystemLLM reasoning → LLM reasoning for recommendation
  24. Explaining an Agent's Future Beliefs through Temporally Decomposing Future Reward EstimatorsDeep reinforcement learning methods → Deep RL algorithms and representations
  25. Does Reasoning Emerge? Examining the Probabilities of Causation in Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
  26. Not Every Image is Worth a Thousand Words: Quantifying Originality in Stable DiffusionDiffusion models → Robustness, privacy and adversarial aspects
  27. EmBARDiment: an Embodied AI Agent for Productivity in XRLLM agents and tool use → Multimodal and embodied agents
  28. DeepSeek-Prover-V1.5: Harnessing Proof Assistant Feedback for Reinforcement Learning and Monte-Carlo Tree SearchDeep reinforcement learning methods → RL training of language and agent models
  29. P/D-Serve: Serving Disaggregated Large Language Model at ScaleEfficient LLM inference and serving → Serving systems and request scheduling
  30. KOALA: Enhancing Speculative Decoding for LLM via Multi-Layer Draft Heads with Adversarial LearningEfficient LLM inference and serving → Speculative decoding
  31. MIDAS: Multi-level Intent, Domain, And Slot Knowledge Distillation for Multi-turn NLUKnowledge distillation → Speech and audio distillation
  32. Unlearnable Examples Detection via Iterative FilteringLLM safety and security → Backdoor and data poisoning attacks
  33. Multimodal Causal Reasoning Benchmark: Challenging Vision Large Language Models to Discern Causal Links Across ModalitiesLLM reasoning → Multimodal reasoning +1
  34. When Video Coding Meets Multimodal Large Language Models: A Unified Paradigm for Video CodingMultimodal LLMs / vision-language models → Video understanding with MLLMs
  35. AgentCourt: Simulating Court with Adversarial Evolvable Lawyer AgentsLLM agents and tool use → Social simulation and multi-agent debate
  36. ColorMamba: Towards High-quality NIR-to-RGB Spectral Translation with MambaState-space sequence models (S4, Mamba) → Hyperspectral image analysis with Mamba
  37. Independent Policy Mirror Descent for Markov Potential Games: Scaling to Large Number of PlayersDeep reinforcement learning methods → RL for games and combinatorial optimization
  38. MambaMIM: Pre-training Mamba with State Space Token Interpolation and its Application to Medical Image SegmentationState-space sequence models (S4, Mamba) → Mamba for medical image analysis
  39. RAGChecker: A Fine-grained Framework for Diagnosing Retrieval-Augmented GenerationRetrieval-augmented generation → RAG pipeline design and evaluation
  40. Text2BIM: Generating Building Models Using a Large Language Model-based Multi-Agent FrameworkLLM agents and tool use → Multimodal and embodied agents
  41. Accelerating High-Fidelity Waveform Generation via Adversarial Flow Matching OptimizationDiffusion models → Audio, speech and music
  42. Experimental evaluation of offline reinforcement learning for HVAC control in buildingsOffline RL and imitation learning from data → Offline RL algorithms
  43. LLaVA-Surg: Towards Multimodal Surgical Assistant via Structured Surgical Video LearningMultimodal LLMs / vision-language models → Medical vision-language models
  44. Meta SAC-Lag: Towards Deployable Safe Reinforcement Learning via MetaGradient-based Hyperparameter TuningDeep reinforcement learning methods → Safe and constrained RL
  45. Conditional Brownian Bridge Diffusion Model for VHR SAR to Optical Image TranslationDiffusion models → Inverse problems and image restoration
  46. Solving a Rubik's Cube Using its Local Graph StructureDeep reinforcement learning methods → RL for games and combinatorial optimization
  47. MAG-SQL: Multi-Agent Generative Approach with Soft Schema Linking and Iterative Sub-SQL Refinement for Text-to-SQLLLM agents and tool use → Web, search, and research agents
  48. MambaVT: Spatio-Temporal Contextual Modeling for robust RGB-T TrackingState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
  49. BCR-DRL: Behavior- and Context-aware Reward for Deep Reinforcement Learning in Human-AI CoordinationDeep reinforcement learning methods → Deep RL algorithms and representations
  50. AVIN-Chat: An Audio-Visual Interactive Chatbot System with Emotional State Tuning
  51. Evolving Text Data Stream Mining
  52. Federated Sequence-to-Sequence Learning for Load Disaggregation from Unbalanced Low-Resolution Smart Meter Data
  53. Applying Deep Neural Networks to automate visual verification of manual bracket installations in aerospace
  54. Csi-LLM: A Novel Downlink Channel Prediction Method Aligned with LLM Pre-Training
  55. EvoAl2048
  56. Inductive Learning of Logical Theories with LLMs: An Expressivity-Graded Analysis
  57. Advance Real-time Detection of Traffic Incidents in Highways using Vehicle Trajectory Data
  58. Cross-Modal Denoising: A Novel Training Paradigm for Enhancing Speech-Image Retrieval
  59. Coarse-to-fine Alignment Makes Better Speech-image Retrieval
  60. Hermes 3 Technical Report
  61. Dynamic Adaptive Optimization for Effective Sentiment Analysis Fine-Tuning on Large Language Models
  62. When Raw Data Prevails: Are Large Language Model Embeddings Effective in Numerical Data Representation for Medical Machine Learning Applications?
  63. PyMarian: Fast Neural Machine Translation and Evaluation in Python
  64. Order-Preserving Dimension Reduction for Multimodal Semantic Embedding
  65. Kolmogorov Arnold Networks in Fraud Detection: Bridging the Gap Between Theory and Practice
  66. Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models
  67. A Survey of Trojan Attacks and Defenses to Deep Neural Networks
  68. JPEG-LM: LLMs as Image Generators with Canonical Codec Representations
  69. Distributional Drift Detection in Medical Imaging with Sketching and Fine-Tuned Transformer
  70. Beyond Uniform Query Distribution: Key-Driven Grouped Query Attention
  71. Exploring Cross-model Neuronal Correlations in the Context of Predicting Model Performance and Generalizability
  72. SpectralEarth: Training Hyperspectral Foundation Models at Scale
  73. W-RAG: Weakly Supervised Dense Retrieval in RAG for Open-domain Question Answering
  74. A semi-centralized multi-agent RL framework for efficient irrigation scheduling
  75. PQV-Mobile: A Combined Pruning and Quantization Toolkit to Optimize Vision Transformers for Mobile Applications
  76. Predictive uncertainty estimation in deep learning for lung carcinoma classification in digital pathology under real dataset shifts
  77. Multi-Modal Dialogue State Tracking for Playing GuessWhich Game
  78. Random Gradient Masking as a Defensive Measure to Deep Leakage in Federated Learning
  79. Phononic materials with effectively scale-separated hierarchical features using interpretable machine learning
  80. Assessing and Enhancing Large Language Models in Rare Disease Question-answering
  81. Penny-Wise and Pound-Foolish in Deepfake Detection
  82. Rater Cohesion and Quality from a Vicarious Perspective
  83. Oja's plasticity rule overcomes several challenges of training neural networks under biological constraints
  84. Understanding Help-Seeking Behavior of Students Using LLMs vs. Web Search for Writing SQL Queries
  85. Zero-Shot Learning and Key Points Are All You Need for Automated Fact-Checking
  86. Transformer-based few-shot learning for modeling Electricity Consumption Profiles with minimal data across thousands of domains
  87. Level Up Your Tutorials: VLMs for Game Tutorials Quality Assessment
  88. Classification of High-dimensional Time Series in Spectral Domain using Explainable Features
  89. Pre-processing and Compression: Understanding Hidden Representation Refinement Across Imaging Domains via Intrinsic Dimension
  90. Towards Realistic Synthetic User-Generated Content: A Scaffolding Approach to Generating Online Discussions
  91. Decoding the human brain tissue response to radiofrequency excitation using a biophysical-model-free deep MRI on a chip framework
  92. Evaluating Text Classification Robustness to Part-of-Speech Adversarial Examples
  93. 5%>100%: Breaking Performance Shackles of Full Fine-Tuning on Visual Recognition Tasks
  94. API-guided Dataset Synthesis to Finetune Large Code Models
  95. Exploring Latent Space for Generating Peptide Analogs Using Protein Language Models
  96. Activation Space Selectable Kolmogorov-Arnold Networks
  97. Training Large-Scale Optical Neural Networks with Two-Pass Forward Propagation
  98. Graph representations of 3D data for machine learning
  99. Plan with Code: Comparing approaches for robust NL to DSL generation
  100. Can Large Language Models Understand Symbolic Graphics Programs?
All 230
  1. HyperTaxel: Hyper-Resolution for Taxel-Based Tactile Signals Through Contrastive Learning
  2. ScalingFilter: Assessing Data Quality through Inverse Utilization of Scaling Laws
  3. Towards Flexible Visual Relationship Segmentation
  4. HELP: Hierarchical Embeddings-based Log Parsing
  5. SLCA++: Unleash the Power of Sequential Fine-tuning for Continual Learning with Pre-training
  6. eGAD! double descent is explained by Generalized Aliasing Decomposition
  7. The ShareLM Collection and Plugin: Contributing Human-Model Chats for the Benefit of the Community
  8. Absence of Closed-Form Descriptions for Gradient Flow in Two-Layer Narrow Networks
  9. Accurate and efficient structure elucidation from routine one-dimensional NMR spectra using multitask machine learning
  10. Autonomous Behavior Planning For Humanoid Loco-manipulation Through Grounded Language Model
  11. Is Knowledge Power? On the (Im)possibility of Learning from Strategic Interactions
  12. HeightLane: BEV Heightmap guided 3D Lane Detection
  13. InVAErt networks for amortized inference and identifiability analysis of lumped parameter hemodynamic models
  14. mhGPT: A Lightweight Generative Pre-Trained Transformer for Mental Health Text Analysis
  15. GSVD-NMF: Recovering Missing Features in Non-negative Matrix Factorization
  16. Snuffy: Efficient Whole Slide Image Classifier
  17. Computer Vision Model Compression Techniques for Embedded Systems: A Survey
  18. Comparative Evaluation of 3D Reconstruction Methods for Object Pose Estimation
  19. The Z-Gromov-Wasserstein Distance
  20. Rethinking Medical Anomaly Detection in Brain MRI: An Image Quality Assessment Perspective
  21. Evolving A* to Efficiently Solve the k Shortest-Path Problem (Extended Version)
  22. Predictive Multiplicity of Knowledge Graph Embeddings in Link Prediction
  23. Enhancing Sharpness-Aware Minimization by Learning Perturbation Radius
  24. RED-CT: A Systems Design Methodology for Using LLM-labeled Data to Train and Deploy Edge Classifiers for Computational Social Science
  25. The Dawn of KAN in Image-to-Image (I2I) Translation: Integrating Kolmogorov-Arnold Networks with GANs for Unpaired I2I Translation
  26. Moving Healthcare AI-Support Systems for Visually Detectable Diseases onto Constrained Devices
  27. Federated Fairness Analytics: Quantifying Fairness in Federated Learning
  28. Covert Bias: The Severity of Social Views' Unalignment in Language Models Towards Implicit and Explicit Opinion
  29. Learned Multimodal Compression for Autonomous Driving
  30. LLM4DSR: Leveraging Large Language Model for Denoising Sequential Recommendation
  31. WaterSplatting: Fast Underwater 3D Scene Reconstruction Using Gaussian Splatting
  32. A Multi-task Adversarial Attack Against Face Authentication
  33. Towards Practical Human Motion Prediction with LiDAR Point Clouds
  34. Heavy Labels Out! Dataset Distillation with Label Space Lightening
  35. Stochastic Semi-Gradient Descent for Learning Mean Field Games with Population-Aware Function Approximation
  36. Beyond Full Labels: Energy-Double-Guided Single-Point Prompt for Infrared Small Target Label Generation
  37. FancyVideo: Towards Dynamic and Consistent Video Generation via Cross-frame Textual Guidance
  38. Nl2Hltl2Plan: Scaling Up Natural Language Understanding for Multi-Robots Through Hierarchical Temporal Logic Task Representation
  39. Data-driven identification of latent port-Hamiltonian systems
  40. Your Turn: At Home Turning Angle Estimation for Parkinson's Disease Severity Assessment
  41. Machine learning empowered Modulation detection for OFDM-based signals
  42. Localized Sparse Principal Component Analysis of Multivariate Time Series in Frequency Domain
  43. Towards flexible perception with visual memory
  44. General-purpose Clothes Manipulation with Semantic Keypoints
  45. Winning Snake: Design Choices in Multi-Shot ASP
  46. Unsupervised Variational Translator for Bridging Image Restoration and High-Level Vision Tasks
  47. Model-based Workflow for the Automated Generation of PDDL Descriptions
  48. Impact of Comprehensive Data Preprocessing on Predictive Modelling of COVID-19 Mortality
  49. Normalized AOPC: Fixing Misleading Faithfulness Metrics for Feature Attribution Explainability
  50. CorrAdaptor: Adaptive Local Context Learning for Correspondence Pruning
  51. EXPLAIN, AGREE, LEARN: Scaling Learning for Neural Probabilistic Logic
  52. Category-Prompt Refined Feature Learning for Long-Tailed Multi-Label Image Classification
  53. The Unreasonable Effectiveness of Solving Inverse Problems with Neural Networks
  54. Learned denoising with simulated and experimental low-dose CT data
  55. Hearing Your Blood Sugar: Non-Invasive Glucose Measurement Through Simple Vocal Signals, Transforming any Speech into a Sensor with Machine Learning
  56. Unsupervised Part Discovery via Dual Representation Alignment
  57. Adaptation of uncertainty-penalized Bayesian information criterion for parametric partial differential equation discovery
  58. SC3D: Label-Efficient Outdoor 3D Object Detection via Single Click Annotation
  59. HAIR: Hypernetworks-based All-in-One Image Restoration
  60. Single-image coherent reconstruction of objects and humans
  61. An Efficient Replay for Class-Incremental Learning with Pre-trained Models
  62. Confidence-weighted integration of human and machine judgments for superior decision-making
  63. Treat Stillness with Movement: Remote Sensing Change Detection via Coarse-grained Temporal Foregrounds Mining
  64. A Survey on Integrated Sensing, Communication, and Computation
  65. Extracting Sentence Embeddings from Pretrained Transformer Models
  66. I-SHEEP: Self-Alignment of LLM from Scratch through an Iterative Self-Enhancement Paradigm
  67. Universality of Real Minimal Complexity Reservoir
  68. SPEED: Scalable Preprocessing of EEG Data for Self-Supervised Learning
  69. BINDy -- Bayesian identification of nonlinear dynamics with reversible-jump Markov-chain Monte-Carlo
  70. Maximally Permissive Reward Machines
  71. Navigating Data Scarcity using Foundation Models: A Benchmark of Few-Shot and Zero-Shot Learning Approaches in Medical Imaging
  72. DATTA: Domain Diversity Aware Test-Time Adaptation for Dynamic Domain Shift Data Streams
  73. DeNOTS: Stable Deep Neural ODEs for Time Series
  74. CamoTeacher: Dual-Rotation Consistency Learning for Semi-Supervised Camouflaged Object Detection
  75. An Efficient Continuous Control Perspective for Reinforcement-Learning-based Sequential Recommendation
  76. The Clever Hans Effect in Unsupervised Learning
  77. PI-Att: Topology Attention for Segmentation Networks through Adaptive Persistence Image Representation
  78. An Advanced Deep Learning Based Three-Stream Hybrid Model for Dynamic Hand Gesture Recognition
  79. Enhancing Large Language Model-based Speech Recognition by Contextualization for Rare and Ambiguous Words
  80. Adaptive User Journeys in Pharma E-Commerce with Reinforcement Learning: Insights from SwipeRx
  81. Causal Discovery from Time-Series Data with Short-Term Invariance-Based Convolutional Neural Networks
  82. DIVE: Towards Descriptive and Diverse Visual Commonsense Generation
  83. Asteroid: Resource-Efficient Hybrid Pipeline Parallelism for Collaborative DNN Training on Heterogeneous Edge Devices
  84. Adaptive Learning of Consistency and Inconsistency Information for Fake News Detection
  85. Hessian QM9: A quantum chemistry database of molecular Hessians in implicit solvents
  86. SG-DeepONet: Source-generalized deep operator learning for full waveform inversion
  87. Leveraging Web-Crawled Data for High-Quality Fine-Tuning
  88. MVInpainter: Learning Multi-View Consistent Inpainting to Bridge 2D and 3D Editing
  89. Co-Fix3D: Enhancing 3D Object Detection with Collaborative Refinement
  90. Monte Carlo Path Tracing and Statistical Event Detection for Event Camera Simulation
  91. FuseChat: Knowledge Fusion of Chat Models
  92. IIU: Independent Inference Units for Knowledge-based Visual Question Answering
  93. Exploring learning environments for label-efficient cancer diagnosis
  94. Analytical Uncertainty-Based Loss Weighting in Multi-Task Learning
  95. ArabLegalEval: A Multitask Benchmark for Assessing Arabic Legal Knowledge in Large Language Models
  96. Toward a Dialogue System Using a Large Language Model to Recognize User Emotions with a Camera
  97. Coupling without Communication and Drafter-Invariant Speculative Decoding
  98. Polaris: Open-ended Interactive Robotic Manipulation via Syn2Real Visual Grounding and Large Language Models
  99. Predicting Lung Cancer Patient Prognosis with Large Language Models
  100. FlashGS: Efficient 3D Gaussian Splatting for Large-scale and High-resolution Rendering
  101. Addressing Skewed Heterogeneity via Federated Prototype Rectification with Personalization
  102. RandomNet: Clustering Time Series Using Untrained Deep Neural Networks
  103. GERestaurant: A German Dataset of Annotated Restaurant Reviews for Aspect-Based Sentiment Analysis
  104. Training Spatial-Frequency Visual Prompts and Probabilistic Clusters for Accurate Black-Box Transfer Learning
  105. Robust Offline Active Learning on Graphs
  106. MobileMEF: Fast and Efficient Method for Multi-Exposure Fusion
  107. Surgical SAM 2: Real-time Segment Anything in Surgical Video by Efficient Frame Pruning
  108. A Single Channel-Based Neonatal Sleep-Wake Classification using Hjorth Parameters and Improved Gradient Boosting
  109. A Deep Features-Based Approach Using Modified ResNet50 and Gradient Boosting for Visual Sentiments Classification
  110. Physics-Informed Neural Network for Predicting Out-of-Training-Range TCAD Solution with Minimized Domain Expertise
  111. GOReloc: Graph-based Object-Level Relocalization for Visual SLAM
  112. CEGRL-TKGR: A Causal Enhanced Graph Representation Learning Framework for Temporal Knowledge Graph Reasoning
  113. DM2RM: Dual-Mode Multimodal Ranking for Target Objects and Receptacles Based on Open-Vocabulary Instructions
  114. KAN versus MLP on Irregular or Noisy Functions
  115. Persistence Image from 3D Medical Image: Superpixel and Optimized Gaussian Coefficient
  116. Assessing Language Models' Worldview for Fiction Generation
  117. Deep Joint Denoising and Detection for Enhanced Intracellular Particle Analysis
  118. The Nah Bandit: Modeling User Non-compliance in Recommendation Systems
  119. System States Forecasting of Microservices with Dynamic Spatio-Temporal Data
  120. Quantum-inspired Interpretable Deep Learning Architecture for Text Sentiment Analysis
  121. Local Causal Discovery with Background Knowledge
  122. Evaluating Fine-Tuning Efficiency of Human-Inspired Learning Strategies in Medical Question Answering
  123. Instruct Large Language Models to Generate Scientific Literature Survey Step by Step
  124. To Impute or Not: Recommendations for Multibiometric Fusion
  125. Incremental Structure Discovery of Classification via Sequential Monte Carlo
  126. Words Matter: Reducing Stigma in Online Conversations about Substance Use with Large Language Models
  127. A Systematic Evaluation of Generated Time Series and Their Effects in Self-Supervised Pretraining
  128. Continuous Perception Matters: Diagnosing Temporal Integration Failures in Multimodal Models
  129. Capturing the Complexity of Human Strategic Decision-Making with Machine Learning
  130. A Novel Generative Artificial Intelligence Method for Interference Study on Multiplex Brightfield Immunohistochemistry Images