mlsanityData to 7 Oct 2026

Papers

New on arXiv

Sat 13 Apr 2024

92 papers

  1. LLMSat: A Large Language Model-Based Goal-Oriented Agent for Autonomous Space ExplorationLLM agents and tool use → General LLM agent frameworks and benchmarks
  2. Intellecta Cognitiva: A Comprehensive Dataset for Advancing Academic Knowledge and Machine ReasoningLLM reasoning → Reasoning benchmarks and evaluation
  3. CuriousLLM: Elevating Multi-Document Question Answering with LLM-Enhanced Knowledge Graph ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning
  4. MING-MOE: Enhancing Medical Multi-Task Learning in Large Language Models with Sparse Mixture of Low-Rank Adapter ExpertsMixture-of-experts → Medical and biomedical MoE
  5. Theoretical research on generative diffusion models: an overviewDiffusion models → Diffusion foundations and sampling
  6. PracticalDG: Perturbation Distillation on Vision-Language Models for Hybrid Domain GeneralizationMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  7. T-REX: Mixture-of-Rank-One-Experts with Semantic-aware Intuition for Multi-task Large Language Model FinetuningMixture-of-experts → Mixture of LoRA experts
  8. AMU-Tuning: Effective Logit Bias for CLIP-based Few-shot LearningMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  9. Introducing Super RAGs in Mistral 8x7B-v1Retrieval-augmented generation → RAG pipeline design and evaluation
  10. Improved Paraphrase Generation via Controllable Latent DiffusionDiffusion models → Discrete and text diffusion
  11. ChimpVLM: Ethogram-Enhanced Chimpanzee Behaviour RecognitionMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  12. Diffusion Models Meet Remote Sensing: Principles, Methods, and PerspectivesDiffusion models → Inverse problems and image restoration
  13. ChangeAnywhere: Sample Generation for Remote Sensing Change Detection via Semantic Latent Diffusion ModelDiffusion models → Inverse problems and image restoration
  14. On Speculative Decoding for Multimodal Large Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
  15. Assessing Climate Transition Risks in the Colombian Processed Food Sector: A Fuzzy Logic and Multicriteria Decision-Making Approach
  16. Advanced Neural Network Architecture for Enhanced Multi-Lead ECG Arrhythmia Detection through Optimized Feature Extraction
  17. SmartPathfinder: Pushing the Limits of Heuristic Solutions for Vehicle Routing Problem with Drones Using Reinforcement Learning
  18. Towards Efficient Resume Understanding: A Multi-Granularity Multi-Modal Pre-Training Approach
  19. Leveraging Large Language Model as Simulated Patients for Clinical Education
  20. Optimized Dynamic Mode Decomposition for Reconstruction and Forecasting of Atmospheric Chemistry Data
  21. Reconfigurable Edge Hardware for Intelligent IDS: Systematic Approach
  22. Multimodal Attack Detection for Action Recognition Models
  23. A biologically inspired computational trust model for open multi-agent systems which is resilient to trustor population changes
  24. Mixtures of Neural Operators Reduce Active Complexity in Operator Learning
  25. Semantic In-Domain Product Identification for Search Queries
  26. Probabilistic Directed Distance Fields for Ray-Based Shape Representations
  27. Safe Reinforcement Learning on the Constraint Manifold: Theory and Applications
  28. Exploring Explainability in Video Action Recognition
  29. CodeCloak: A Method for Evaluating and Mitigating Code Leakage by LLM Code Assistants
  30. ALICE: Combining Feature Selection and Inter-Rater Agreeability for Machine Learning Insights
  31. Rethinking Iterative Stereo Matching from Diffusion Bridge Model Perspective
  32. Multilingual Evaluation of Semantic Textual Relatedness
  33. Adapting Mental Health Prediction Tasks for Cross-lingual Learning via Meta-Training and In-context Learning with Large Language Model
  34. Do LLMs Play Dice? Exploring Probability Distribution Sampling in Large Language Models for Behavioral Simulation
  35. Improving Personalisation in Valence and Arousal Prediction using Data Augmentation
  36. Active Learning for Control-Oriented Identification of Nonlinear Systems
  37. A Parametric Rate-Distortion Model for Video Transcoding
  38. Navigating the Landscape of Large Language Models: A Comprehensive Review and Analysis of Paradigms and Fine-Tuning Strategies
  39. MMA-DFER: MultiModal Adaptation of unimodal models for Dynamic Facial Expression Recognition in-the-wild
  40. Proof-of-Learning with Incentive Security
  41. THQA: A Perceptual Quality Assessment Database for Talking Heads
  42. WikiSplit++: Easy Data Refinement for Split and Rephrase
  43. Smart Help: Strategic Opponent Modeling for Proactive and Adaptive Robot Assistance in Households
  44. MaSkel: A Model for Human Whole-body X-rays Generation from Human Masking Images
  45. Labeled Morphological Segmentation with Semi-Markov Models
  46. Beyond Known Clusters: Probe New Prototypes for Efficient Generalized Class Discovery
  47. Business models for the simulation hypothesis
  48. A Fourier-enhanced multi-modal 3D small object optical mark recognition and positioning method for percutaneous abdominal puncture surgical navigation
  49. Airship Formations for Animal Motion Capture and Behavior Analysis
  50. Fast Fishing: Approximating BAIT for Efficient and Scalable Deep Active Image Classification
  51. Stability and Generalization in Free Adversarial Training
  52. BG-YOLO: A Bidirectional-Guided Method for Underwater Object Detection
  53. Incremental Residual Concept Bottleneck Models
  54. RoNID: New Intent Discovery with Generated-Reliable Labels and Cluster-friendly Representations
  55. OOVs in the Spotlight: How to Inflect them?
  56. PraFFL: A Preference-Aware Scheme in Fair Federated Learning
  57. Fast Gradient Computation for Gromov-Wasserstein Distance
  58. Concentration properties of fractional posterior in 1-bit matrix completion
  59. MCPNet: An Interpretable Classifier via Multi-Level Concept Prototypes
  60. LoopGaussian: Creating 3D Cinemagraph with Multi-view Images via Eulerian Motion Field
  61. Seeing Text in the Dark: Algorithm and Benchmark
  62. Understanding Multimodal Deep Neural Networks: A Concept Selection View
  63. Constructing and Exploring Intermediate Domains in Mixed Domain Semi-supervised Medical Image Segmentation
  64. Deep Reinforcement Learning based Online Scheduling Policy for Deep Neural Network Multi-Tenant Multi-Accelerator Systems
  65. Multimodal Cross-Document Event Coreference Resolution Using Linear Semantic Transfer and Mixed-Modality Ensembles
  66. NeurIT: Pushing the Limit of Neural Inertial Tracking for Indoor Robotic IoT
  67. Shifting Spotlight for Co-supervision: A Simple yet Efficient Single-branch Network to See Through Camouflage
  68. Developing An Attention-Based Ensemble Learning Framework for Financial Portfolio Optimisation
  69. Label-free Anomaly Detection in Aerial Agricultural Images with Masked Image Modeling
  70. DeDoDe v2: Analyzing and Improving the DeDoDe Keypoint Detector
  71. Trustworthy Multimodal Fusion for Sentiment Analysis in Ordinal Sentiment Space
  72. PNeRV: Enhancing Spatial Consistency via Pyramidal Neural Representation for Videos
  73. MAProtoNet: A Multi-scale Attentive Interpretable Prototypical Part Network for 3D Magnetic Resonance Imaging Brain Tumor Classification
  74. Meply: A Large-scale Dataset and Baseline Evaluations for Metastatic Perirectal Lymph Node Detection and Segmentation
  75. PM2: A New Prompting Multi-modal Model Paradigm for Few-shot Medical Image Classification
  76. On the best approximation by finite Gaussian mixtures
  77. Enhancing path-integral approximation for non-linear diffusion with neural network
  78. Bullion: A Column Store for Machine Learning
  79. Rethinking Low-Rank Adaptation in Vision: Exploring Head-Level Responsiveness across Diverse Tasks
  80. Early detection of disease outbreaks and non-outbreaks using incidence data
  81. Towards Enhancing Health Coaching Dialogue in Low-Resource Settings
  82. Countering Mainstream Bias via End-to-End Adaptive Local Learning
  83. EIVEN: Efficient Implicit Attribute Value Extraction using Multimodal LLM
  84. Is Next Token Prediction Sufficient for GPT? Exploration on Code Logic Comprehension
  85. Large Language Model Empowered Next-Generation MIMO Networks: Fundamentals, Challenges, and Visions
  86. Aligning the Objective of LLM-based Program Repair
  87. Enhanced Hydrogen Evolution Activity of MOS2-rGO Composite Synthesized via Hydrothermal Technique
  88. An evaluation framework for synthetic data generation models
  89. LLM In-Context Recall is Prompt Dependent
  90. Enhancing Mobile "How-to" Queries with Automated Search Results Verification and Reranking
  91. A Lightweight Spatiotemporal Network for Online Eye Tracking with Event Camera
  92. Voice Attribute Editing with Text Prompt