mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sun 23 Jun 2024

119 papers

  1. CAV-AHDV-CAV: Mitigating Traffic Oscillations for CAVs through a Novel Car-Following Structure and Reinforcement LearningDeep reinforcement learning methods → RL for autonomous driving and traffic
  2. On Instabilities of Unsupervised Denoising Diffusion Models in Magnetic Resonance Imaging ReconstructionDiffusion models → Medical imaging and segmentation
  3. Understanding and Diagnosing Deep Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
  4. Position: Benchmarking is Limited in Reinforcement Learning ResearchDeep reinforcement learning methods → Deep RL algorithms and representations
  5. Preference Tuning For Toxicity Mitigation Generalizes Across LanguagesLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks
  6. Provable Statistical Rates for Consistency Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  7. Blind Baselines Beat Membership Inference Attacks for Foundation ModelsLLM safety and security → Membership inference attacks
  8. GraphEval36K: Benchmarking Coding and Reasoning Capabilities of Large Language Models on Graph DatasetsLLM reasoning → Knowledge- and tool-augmented reasoning
  9. FS-RAG: A Frame Semantics Based Approach for Improved Factual Accuracy in Large Language ModelsRetrieval-augmented generation → RAG robustness and adaptive retrieval
  10. Chain-of-Probe: Examining the Necessity and Accuracy of CoT Step-by-StepLLM reasoning → Prompting and chain-of-thought reasoning
  11. Diffusion Spectral Representation for Reinforcement LearningDiffusion models → Diffusion and flow policies for robotics +1
  12. X-ray2CTPA: Leveraging Diffusion Models to Enhance Pulmonary Embolism ClassificationDiffusion models → Medical imaging and segmentation
  13. Towards Natural Language-Driven Assembly Using Foundation ModelsVision-language-action models → Generalist VLA models and benchmarks
  14. Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot AutonomyOffline RL and imitation learning from data → Robot manipulation imitation learning
  15. Mamba-based Light Field Super-Resolution with Efficient Subspace ScanningState-space sequence models (S4, Mamba) → Vision Mamba backbones
  16. First Heuristic Then Rational: Dynamic Use of Heuristics in Language Model ReasoningLLM reasoning → Reasoning benchmarks and evaluation
  17. PORT: Preference Optimization on Reasoning TracesLLM reasoning → Mathematical reasoning +1
  18. Pose-dIVE: Pose-Diversified Augmentation with Diffusion Model for Person Re-IdentificationDiffusion models → 3D, point cloud and scene generation
  19. Unlocking the Future: Exploring Look-Ahead Planning Mechanistic Interpretability in Large Language ModelsMechanistic interpretability → Knowledge and representations inside LLMs
  20. TimeAutoDiff: A Unified Framework for Generation, Imputation, Forecasting, and Time-Varying Metadata Conditioning of Heterogeneous Time Series Tabular DataDiffusion models → Flow matching, time series and science
  21. Bounding-Box Inference for Error-Aware Model-Based Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
  22. Can LLM Graph Reasoning Generalize beyond Pattern Memorization?LLM reasoning → Knowledge- and tool-augmented reasoning
  23. ReCaLL: Membership Inference via Relative Conditional Log-LikelihoodsLLM safety and security → Membership inference attacks
  24. US-China perspectives on extreme AI risks and global governance
  25. The Potential and Perils of Generative Artificial Intelligence for Quality Improvement and Patient Safety
  26. International Trade Flow Prediction with Bilateral Trade Provisions
  27. Can Large Language Models Detect Verbal Indicators of Romantic Attraction?
  28. Residual resampling-based physics-informed neural network for neutron diffusion equations
  29. MuseCL: Predicting Urban Socioeconomic Indicators via Multi-Semantic Contrastive Learning
  30. UQE: A Query Engine for Unstructured Databases
  31. Belief Information based Deep Channel Estimation for Massive MIMO Systems
  32. Field-Enhanced Filtering in MIMO Learned Volterra Nonlinear Equalisation of Multi-Wavelength Systems
  33. INDICT: Code Generation with Internal Dialogues of Critiques for Both Security and Helpfulness
  34. EditFollower: Tunable Car Following Models for Customizable Adaptive Cruise Control Systems
  35. Enhancing Commentary Strategies for Imperfect Information Card Games: A Study of Large Language Models in Guandan Commentary
  36. Unveiling LLM Mechanisms Through Neural ODEs and Control Theory
  37. Research on Disease Prediction Model Construction Based on Computer AI deep Learning Technology
  38. Research on Feature Extraction Data Processing System For MRI of Brain Diseases Based on Computer Deep Learning
  39. MetaFollower: Adaptable Personalized Autonomous Car Following
  40. Efficient Evolutionary Search Over Chemical Space with Large Language Models
  41. A Review of Global Sensitivity Analysis Methods and a comparative case study on Digit Classification
  42. Jacobian Descent for Multi-Objective Optimization
  43. Gradual Divergence for Seamless Adaptation: A Novel Domain Incremental Learning Method
  44. Multi-Objective Linguistic Control of Large Language Models
  45. VICatMix: variational Bayesian clustering and variable selection for discrete biomedical data
  46. From Text to Test: AI-Generated Control Software for Materials Science Instruments
  47. Continuous Output Personality Detection Models via Mixed Strategy Training
  48. F-FOMAML: GNN-Enhanced Meta-Learning for Peak Period Demand Forecasting with Proxy Data
  49. Learning Run-time Safety Monitors for Machine Learning Components
  50. Trace is the Next AutoDiff: Generative Optimization with Rich Feedback, Execution Traces, and LLMs
  51. Porosity and topological properties of triply periodic minimal surfaces
  52. Zero-Inflated Tweedie Boosted Trees with CatBoost for Insurance Loss Analytics
  53. Breaking the Frame: Visual Place Recognition by Overlap Prediction
  54. LLMs' Classification Performance is Overclaimed
  55. Feature compression is the root cause of adversarial fragility in neural network classifiers
  56. Reinterpreting Economic Complexity: A co-clustering approach
  57. Hardware-Aware Neural Dropout Search for Reliable Uncertainty Prediction on FPGA
  58. Semi-Variance Reduction for Fair Federated Learning
  59. HEST-1k: A Dataset for Spatial Transcriptomics and Histology Image Analysis
  60. Accelerating Matrix Diagonalization through Decision Transformers with Epsilon-Greedy Optimization
  61. Fuzzy Attention-based Border Rendering Network for Lung Organ Segmentation
  62. Evaluation and Comparison of Emotionally Evocative Image Augmentation Methods
  63. SimCE: Simplifying Cross-Entropy Loss for Collaborative Filtering
  64. An All-MLP Sequence Modeling Architecture That Excels at Copying
  65. Composite Material Design for Optimized Fracture Toughness Using Machine Learning
  66. Towards Region-aware Bias Evaluation Metrics
  67. Improved Monte Carlo Planning via Causal Disentanglement for Structurally-Decomposed Markov Decision Processes
  68. Intensity Confusion Matters: An Intensity-Distance Guided Loss for Bronchus Segmentation
  69. Towards Open Respiratory Acoustic Foundation Models: Pretraining and Benchmarking
  70. Predefined Prototypes for Intra-Class Separation and Disentanglement
  71. Review of Zero-Shot and Few-Shot AI Algorithms in The Medical Domain
  72. Multimodal Multilabel Classification by CLIP
  73. MLPHand: Real Time Multi-View 3D Hand Mesh Reconstruction via MLP Modeling
  74. Crosslingual Capabilities and Knowledge Barriers in Multilingual Large Language Models
  75. UDHF2-Net: Uncertainty-diffusion-model-based High-Frequency TransFormer Network for Remotely Sensed Imagery Interpretation
  76. CBPF: Filtering Poisoned Data Based on Composite Backdoor Attack
  77. Contextualized End-to-end Automatic Speech Recognition with Intermediate Biasing Loss
  78. Multi-Scale Temporal Difference Transformer for Video-Text Retrieval
  79. Decoder-only Architecture for Streaming End-to-end Speech Recognition
  80. Evaluating Ensemble Methods for News Recommender Systems
  81. SEAM: A Stochastic Benchmark for Multi-Document Tasks
  82. A Simple Framework for Open-Vocabulary Zero-Shot Segmentation
  83. EERPD: Leveraging Emotion and Emotion Regulation for Improving Personality Detection
  84. Detecting Abnormal Operations in Concentrated Solar Power Plants from Irregular Sequences of Thermal Images
  85. CAVM: Conditional Autoregressive Vision Model for Contrast-Enhanced Brain Tumor MRI Synthesis
  86. LGS: A Light-weight 4D Gaussian Splatting for Efficient Surgical Scene Reconstruction
  87. DV-3DLane: End-to-end Multi-modal 3D Lane Detection with Dual-view Representation
  88. Dancing in the syntax forest: fast, accurate and explainable sentiment analysis with SALSA
  89. FastMem: Fast Memorization of Prompt Improves Context Awareness of Large Language Models
  90. Towards Real-Time Neural Volumetric Rendering on Mobile Devices: A Measurement Study
  91. Pivotal Auto-Encoder via Self-Normalizing ReLU
  92. Combine and Conquer: A Meta-Analysis on Data Shift and Out-of-Distribution Detection
  93. CholecInstanceSeg: A Tool Instance Segmentation Dataset for Laparoscopic Surgery
  94. LiveScene: Language Embedding Interactive Radiance Fields for Physical Scene Rendering and Control
  95. Meta-FL: A Novel Meta-Learning Framework for Optimizing Heterogeneous Model Aggregation in Federated Learning
  96. Effect of Random Learning Rate: Theoretical Analysis of SGD Dynamics in Non-Convex Optimization via Stationary Distribution
  97. Zero-Shot Cross-Lingual NER Using Phonemic Representations for Low-Resource Languages
  98. CEST-KAN: Kolmogorov-Arnold Networks for CEST MRI Data Analysis
  99. Harvesting Events from Multiple Sources: Towards a Cross-Document Event Extraction Paradigm
  100. AudioBench: A Universal Benchmark for Audio Large Language Models
All 119
  1. Comprehensive characterization of three-qubit Grover search algorithm on IBM's 127-qubit superconducting quantum computers
  2. Database-Augmented Query Representation for Information Retrieval
  3. Wound Tissue Segmentation in Diabetic Foot Ulcer Images Using Deep Learning: A Pilot Study
  4. Found in the Middle: Calibrating Positional Attention Bias Improves Long Context Utilization
  5. Label Words as Local Task Vectors in In-Context Learning
  6. RepNeXt: A Fast Multi-Scale CNN using Structural Reparameterization
  7. Learning Accurate and Enriched Features for Stereo Image Super-Resolution
  8. Predicting Individual Depression Symptoms from Acoustic Features During Speech
  9. Memorizing Documents with Guidance in Large Language Models
  10. Enhancing Cross-Document Event Coreference Resolution by Discourse Structure and Semantic Information
  11. Deep-MPC: A DAGGER-Driven Imitation Learning Strategy for Optimal Constrained Battery Charging
  12. Learning with Noisy Ground Truth: From 2D Classification to 3D Reconstruction
  13. Serial Position Effects of Large Language Models
  14. Deep Learning Segmentation of Ascites on Abdominal CT Scans for Automatic Volume Quantification
  15. EVCL: Elastic Variational Continual Learning with Weight Consolidation
  16. Imperfect-Recall Games: Equilibrium Concepts and Their Complexity
  17. Evaluating the Effectiveness of the Foundational Models for Q&A Classification in Mental Health care
  18. Effectiveness of ChatGPT in explaining complex medical reports to patients
  19. Privacy Preserving Machine Learning for Electronic Health Records using Federated Learning and Differential Privacy