mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sat 24 Aug 2024

110 papers

  1. Towards Human-Level Understanding of Complex Process Engineering Schematics: A Pedagogical, Introspective Multi-Agent Framework for Open-Domain Question AnsweringLLM agents and tool use → Web, search, and research agents
  2. Symbolic Working Memory Enhances Language Models for Complex Rule ApplicationLLM reasoning → Reasoning benchmarks and evaluation
  3. DeepVoting: Learning and Fine-Tuning Voting Rules with Canonical EmbeddingsDeep reinforcement learning methods → RL training of language and agent models
  4. Prompt-Softbox-Prompt: A Free-Text Embedding Control for Image EditingDiffusion models → Image generation, text-to-image and editing
  5. Advancing Enterprise Spatio-Temporal Forecasting Applications: Data Mining Meets Instruction Tuning of Language Models For Multi-modal Time Series Analysis in Low-Resource SettingsMixture-of-experts → MoE for time series and graphs
  6. Control-Informed Reinforcement Learning for Chemical ProcessesDeep reinforcement learning methods → RL for energy, networks and operations
  7. Synesthesia of Machines (SoM)-Enhanced ISAC Precoding for Vehicular Networks with Double DynamicsDeep reinforcement learning methods → RL for energy, networks and operations
  8. Pandora's Box or Aladdin's Lamp: A Comprehensive Analysis Revealing the Role of RAG Noise in Large Language ModelsRetrieval-augmented generation → RAG robustness and adaptive retrieval
  9. Selective Preference Optimization via Token-Level Reward Function EstimationLLM reasoning → Reinforcement learning for reasoning +1
  10. Dual-Interrelated Diffusion Model for Few-Shot Anomaly Image GenerationDiffusion models → Flow matching, time series and science
  11. Rethinking State Disentanglement in Causal Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
  12. Thresholded Lexicographic Ordered Multiobjective Reinforcement LearningDeep reinforcement learning methods → RL for games and combinatorial optimization
  13. Probing the Robustness of Vision-Language Pretrained Models: A Multimodal Adversarial Attack ApproachMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
  14. Rethinking Video Deblurring with Wavelet-Aware Dynamic Transformer and Diffusion ModelDiffusion models → Inverse problems and image restoration
  15. Make Every Penny Count: Difficulty-Adaptive Self-Consistency for Cost-Efficient ReasoningLLM reasoning → Test-time compute and efficient thinking
  16. Data Augmentation for Continual RL via Adversarial Gradient Episodic MemoryDeep reinforcement learning methods → Deep RL algorithms and representations
  17. Reinforcement Learning for Causal Discovery without Acyclicity ConstraintsDeep reinforcement learning methods → Deep RL algorithms and representations
  18. Decoupled Video Generation with Chain of Training-free Diffusion Model ExpertsDiffusion models → Video generation
  19. TVG: A Training-free Transition Video Generation Method with Diffusion ModelsDiffusion models → Video generation
  20. Ensuring Fairness with Transparent Auditing of Quantitative Bias in AI Systems
  21. Gating Syn-to-Real Knowledge for Pedestrian Crossing Prediction in Safe Driving
  22. SAN: Hypothesizing Long-Term Synaptic Development and Neural Engram Mechanism in Scalable Model's Parameter-Efficient Fine-Tuning
  23. HSR-KAN: Efficient Hyperspectral Image Super-Resolution via Kolmogorov-Arnold Networks
  24. Procedural Synthesis of Synthesizable Molecules
  25. Examining Different Research Communities: Authorship Network
  26. Decentralized Indoor Localization Based on A Sparse Gaussian Process with Reduced-Dimensional Inputs for Real-Time Sensing and Training on IoT Devices
  27. Are LLM-based methods good enough for detecting unfair terms of service?
  28. Generative-Adversarial Networks for Low-Resource Language Data Augmentation in Machine Translation
  29. Differentially Private Publication of Electricity Time Series Data in Smart Grids
  30. Artificial intelligence for science: The easy and hard problems
  31. Prompt-Matcher: Leveraging Large Models to Reduce Uncertainty in Schema Matching Results
  32. Distilling Long-tailed Datasets
  33. RePST: Language Model Empowered Spatio-Temporal Forecasting via Semantic-Oriented Reprogramming
  34. Is Functional Correctness Enough to Evaluate Code Language Models? Exploring Diversity of Generated Codes
  35. Physics-Informed Neural Network for Concrete Manufacturing Process Optimization
  36. Understanding Uncertainty-based Active Learning Under Model Mismatch
  37. Decentralised Variational Inference Frameworks for Multi-object Tracking on Sensor Networks: Additional Notes
  38. Evaluating Alternative Training Interventions Using Personalized Computational Models of Learning
  39. Submodular Maximization Approaches for Equitable Client Selection in Federated Learning
  40. Segment Any Mesh
  41. A layer-wise analysis of Mandarin and English suprasegmentals in SSL speech models
  42. GenCA: A Text-conditioned Generative Model for Realistic and Drivable Codec Avatars
  43. Outlier Detection Bias Busted: Understanding Sources of Algorithmic Bias through Data-centric Factors
  44. Discovery and Simulation of Data-Aware Business Processes
  45. Hierarchical Network Fusion for Multi-Modal Electron Micrograph Representation Learning with Foundational Large Language Models
  46. ReactZyme: A Benchmark for Enzyme-Reaction Prediction
  47. Beamline Steering Using Deep Learning Models
  48. Localize-and-Stitch: Efficient Model Merging via Sparse Task Arithmetic
  49. Narratives at Conflict: Computational Analysis of News Framing in Multilingual Disinformation Campaigns
  50. Tree-structured Markov random fields with Poisson marginal distributions
  51. Explanatory Model Monitoring to Understand the Effects of Feature Shifts on Performance
  52. Mean Height Aided Post-Processing for Pedestrian Detection
  53. Studying the Effect of Audio Filters in Pre-Trained Models for Environmental Sound Classification
  54. Temporal Divide-and-Conquer Anomaly Actions Localization in Semi-Supervised Videos with Hierarchical Transformer
  55. Size Aware Cross-shape Scribble Supervision for Medical Image Segmentation
  56. Temporal Elections: Welfare, Strategyproofness, and Proportionality
  57. FungiTastic: A multi-modal dataset and benchmark for image categorization
  58. Ancient but Digitized: Developing Handwritten Optical Character Recognition for East Syriac Script Through Creating KHAMIS Dataset
  59. Temporally-consistent 3D Reconstruction of Birds
  60. Enhancing Uplift Modeling in Multi-Treatment Marketing Campaigns: Leveraging Score Ranking and Calibration Techniques
  61. Recent Event Camera Innovations: A Survey
  62. Towards Case-based Interpretability for Medical Federated Learning
  63. No Dataset Needed for Downstream Knowledge Benchmarking: Response Dispersion Inversely Correlates with Accuracy on Domain-specific QA
  64. Preliminary Investigations of a Multi-Faceted Robust and Synergistic Approach in Semiconductor Electron Micrograph Analysis: Integrating Vision Transformers with Large Language and Multimodal Models
  65. STAResNet: a Network in Spacetime Algebra to solve Maxwell's PDEs
  66. GNN: Graph Neural Network and Large Language Model for Data Discovery
  67. SpeechCraft: A Fine-grained Expressive Speech Dataset with Natural Language Description
  68. Optimal Kernel Quantile Learning with Random Features
  69. Loss-based Bayesian Sequential Prediction of Value at Risk with a Long-Memory and Non-linear Realized Volatility Model
  70. Explainable Convolutional Networks for Crater Detection and Lunar Landing Navigation
  71. Balancing Diversity and Risk in LLM Sampling: How to Select Your Method and Parameter for Open-Ended Text Generation
  72. FLEURS-ASL: Including American Sign Language in Massively Multilingual Multitask Evaluation
  73. CSS-Segment: 2nd Place Report of LSVOS Challenge VOS Track
  74. Can Visual Foundation Models Achieve Long-term Point Tracking?
  75. PointDGMamba: Domain Generalization of Point Cloud Classification via Generalized State Space Model
  76. Hybrid Training for Enhanced Multi-task Generalization in Multi-agent Reinforcement Learning
  77. Variational Autoencoder for Anomaly Detection: A Comparative Study
  78. What if? Causal Machine Learning in Supply Chain Risk Management
  79. IQA-EVAL: Automatic Evaluation of Human-Model Interactive Question Answering
  80. Learning from the few: Fine-grained approach to pediatric wrist pathology recognition on a limited dataset
  81. Cultural Adaptation of Menus: A Fine-Grained Approach
  82. FFT-based surrogate modeling of auxetic metamaterials with real-time prediction of effective elastic properties and swift inverse design
  83. Learning a Factorized Orthogonal Latent Space using Encoder-only Architecture for Fault Detection; An Alarm management perspective
  84. HRGraph: Leveraging LLMs for HR Data Knowledge Graphs with Information Propagation-based Job Recommendation
  85. An Open, Cross-Platform, Web-Based Metaverse Using WebXR and A-Frame
  86. Bidirectional Multimodal Prompt Learning with Scale-Aware Training for Few-Shot Multi-Class Anomaly Detection
  87. G3DST: Generalizing 3D Style Transfer with Neural Radiance Fields across Scenes and Styles
  88. Utilizing Large Language Models for Named Entity Recognition in Traditional Chinese Medicine against COVID-19 Literature: Comparative Study
  89. R2G: Reasoning to Ground in 3D Scenes
  90. On the Feasibility of Creating Iris Periocular Morphed Images
  91. Topological GCN for Improving Detection of Hip Landmarks from B-Mode Ultrasound Images
  92. Online Continuous Generalized Category Discovery
  93. ESA: Annotation-Efficient Active Learning for Semantic Segmentation
  94. IntOPE: Off-Policy Evaluation in the Presence of Interference
  95. MPruner: Optimizing Neural Network Size with CKA-Based Mutual Information Pruning
  96. Quantum-machine-assisted Drug Discovery
  97. Why Antiwork: A RoBERTa-Based System for Work-Related Stress Identification and Leading Factor Analysis
  98. Disentangled Generative Graph Representation Learning
  99. LlamaDuo: LLMOps Pipeline for Seamless Migration from Service LLMs to Small-Scale Local LLMs
  100. Uncovering Biases with Reflective Large Language Models
All 110
  1. HabitAction: A Video Dataset for Human Habitual Behavior Recognition
  2. DOPPLER: Differentially Private Optimizers with Low-pass Filter for Privacy Noise Reduction
  3. AdaOcc: Adaptive-Resolution Occupancy Prediction
  4. A Law of Next-Token Prediction in Large Language Models
  5. Knowledge-Aware Conversation Derailment Forecasting Using Graph Convolutional Networks
  6. Explainable Concept Generation through Vision-Language Preference Learning for Understanding Neural Networks' Internal Representations
  7. Integrating Multi-Head Convolutional Encoders with Cross-Attention for Improved SPARQL Query Translation
  8. Face Clustering via Early Stopping and Edge Recall
  9. The ICML 2023 Ranking Experiment: Examining Author Self-Assessment in ML/AI Peer Review
  10. Optimal Layer Selection for Latent Data Augmentation