mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sun 11 Feb 2024

110 papers

  1. Exploring the Impact of Large Language Models on Recommender Systems: An Extensive ReviewLLM reasoning → LLM reasoning for recommendation
  2. Beware of Words: Evaluating the Lexical Diversity of Conversational LLMs using ChatGPT as Case StudyLLM reasoning → Reasoning benchmarks and evaluation
  3. Differentially Private Training of Mixture of Experts ModelsMixture-of-experts → Expert routing strategies
  4. The Bias of Harmful Label Associations in Vision-Language ModelsMultimodal LLMs / vision-language models → Social bias and fairness in VLMs
  5. ODIN: Disentangled Reward Mitigates Hacking in RLHFLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  6. Online Iterative Reinforcement Learning from Human Feedback with General Preference ModelLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF +1
  7. Training Heterogeneous Client Models using Knowledge Distillation in Serverless Federated LearningKnowledge distillation → Federated, robust and private distillation
  8. Open-ended VQA benchmarking of Vision-Language models by exploiting Classification datasets and their semantic hierarchyMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  9. Towards Generalized Inverse Reinforcement LearningOffline RL and imitation learning from data → Inverse reinforcement learning +1
  10. Semi-Mamba-UNet: Pixel-Level Contrastive and Pixel-Level Cross-Supervised Visual Mamba-based UNet for Semi-Supervised Medical Image SegmentationState-space sequence models (S4, Mamba) → Mamba for medical image analysis
  11. Stitching Sub-Trajectories with Conditional Diffusion Model for Goal-Conditioned Offline RLDiffusion models → Diffusion and flow policies for robotics +1
  12. The Reasons that Agents Act: Intention and Instrumental GoalsLLM agents and tool use → General LLM agent frameworks and benchmarks
  13. Towards Fast Stochastic Sampling in Diffusion Generative ModelsDiffusion models → Diffusion foundations and sampling
  14. ML Framework for Wireless MAC Protocol DesignDeep reinforcement learning methods → RL for energy, networks and operations
  15. More Benefits of Being Distributional: Second-Order Bounds for Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms +1
  16. Divide and Conquer: Provably Unveiling the Pareto Front with Multi-Objective Reinforcement LearningDeep reinforcement learning methods → RL for games and combinatorial optimization
  17. Prompt Perturbation in Retrieval-Augmented Generation based Large Language ModelsRetrieval-augmented generation → RAG pipeline design and evaluation
  18. Natural Language Reinforcement LearningDeep reinforcement learning methods → RL training of language and agent models
  19. X-LoRA: Mixture of Low-Rank Adapter Experts, a Flexible Framework for Large Language Models with Applications in Protein Mechanics and Molecular DesignMixture-of-experts → Mixture of LoRA experts
  20. Can Graph Descriptive Order Affect Solving Graph Problems with LLMs?LLM reasoning → Knowledge- and tool-augmented reasoning
  21. An attempt to generate new bridge types from latent space of denoising diffusion Implicit modelDiffusion models → Diffusion foundations and sampling
  22. Echoes of Socratic Doubt: Embracing Uncertainty in Calibrated Evidential Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
  23. An Empirical Study on the Power of Future Prediction in Partially Observable EnvironmentsDeep reinforcement learning methods → Deep RL algorithms and representations
  24. Refined Sample Complexity for Markov Games with Independent Linear Function ApproximationDeep reinforcement learning methods → RL theory and sample complexity
  25. Evolution and Efficiency in Neural Architecture Search: Bridging the Gap Between Expert Design and Automated Optimization
  26. Process mining for self-regulated learning assessment in e-learning
  27. Re-thinking Human Activity Recognition with Hierarchy-aware Label Relationship Modeling
  28. XProspeCT: CT Volume Generation from Paired X-Rays
  29. Text mining in education
  30. KGroot: Enhancing Root Cause Analysis through Knowledge Graphs and Graph Convolutional Neural Networks
  31. Optimal Thresholding Linear Bandit
  32. Expert-Adaptive Medical Image Segmentation
  33. Multi-Modal Emotion Recognition by Text, Speech and Video Using Pretrained Transformers
  34. Persian Speech Emotion Recognition by Fine-Tuning Transformers
  35. Lessons Learned from Mining the Hugging Face Repository
  36. Summing Up the Facts: Additive Mechanisms Behind Factual Recall in LLMs
  37. Towards Explainable, Safe Autonomous Driving with Language Embeddings for Novelty Identification and Active Learning: Framework and Experimental Analysis with Real-World Data Sets
  38. BioNeRF: Biologically Plausible Neural Radiance Fields for View Synthesis
  39. HyperBERT: Mixing Hypergraph-Aware Layers with Language Models for Node Classification on Text-Attributed Hypergraphs
  40. Self-Calibrating Conformal Prediction
  41. LISR: Learning Linear 3D Implicit Surface Representation Using Compactly Supported Radial Basis Functions
  42. Supervised Reconstruction for Silhouette Tomography
  43. Estimating the Mixing Coefficients of Geometrically Ergodic Markov Processes
  44. On the Effectiveness of Machine Learning-based Call Graph Pruning: An Empirical Study
  45. CLIPPER: Robust Data Association without an Initial Guess
  46. Power Transformer Fault Prediction Based on Knowledge Graphs
  47. How do Large Language Models Navigate Conflicts between Honesty and Helpfulness?
  48. Benchmarking Anomaly Detection Algorithms: Deep Learning and Beyond
  49. Previously on the Stories: Recap Snippet Identification for Story Reading
  50. Highly Accurate Disease Diagnosis and Highly Reproducible Biomarker Identification with PathFormer
  51. Trade-off Between Spatial and Angular Resolution in Facial Recognition
  52. Low-Resource Counterspeech Generation for Indic Languages: The Case of Bengali and Hindi
  53. Data Quality Aware Approaches for Addressing Model Drift of Semantic Segmentation Models
  54. American Sign Language Video to Text Translation
  55. Physics-Informed Neural Networks with Hard Linear Equality Constraints
  56. DIMON: Learning Solution Operators of Partial Differential Equations on a Diffeomorphic Family of Domains
  57. Impact of Domain Knowledge and Multi-Modality on Intelligent Molecular Property Prediction: A Systematic Survey
  58. Depth Separations in Neural Networks: Separating the Dimension from the Accuracy
  59. SAIS: A Novel Bio-Inspired Artificial Immune System Based on Symbiotic Paradigm
  60. PIVOT-Net: Heterogeneous Point-Voxel-Tree-based Framework for Point Cloud Compression
  61. Oja's Algorithm for Streaming Sparse PCA
  62. CPSDBench: A Large Language Model Evaluation Benchmark and Baseline for Chinese Public Security Domain
  63. TransGPT: Multi-modal Generative Pre-trained Transformer for Transportation
  64. UVTM: Universal Vehicle Trajectory Modeling with ST Feature Domain Generation
  65. Successive Refinement in Large-Scale Computation: Advancing Model Inference Applications
  66. Rethinking Graph Masked Autoencoders through Alignment and Uniformity
  67. KVQ: Kwai Video Quality Assessment for Short-form Videos
  68. A novel spatial-frequency domain network for zero-shot incremental learning
  69. Through the Lens of Split Vote: Exploring Disagreement, Difficulty and Calibration in Legal Case Outcome Classification
  70. GALA3D: Towards Text-to-3D Complex Scene Generation via Layout-guided Generative Gaussian Splatting
  71. ITINERA: Integrating Spatial Optimization with Large Language Models for Open-domain Urban Itinerary Planning
  72. Outlier-Aware Training for Low-Bit Quantization of Structural Re-Parameterized Networks
  73. Link-aware link prediction over temporal graph by pattern recognition
  74. GraphTranslator: Aligning Graph Model to Large Language Model for Open-ended Tasks
  75. Parameter Symmetry and Noise Equilibrium of Stochastic Gradient Descent
  76. Spatio-spectral classification of hyperspectral images for brain cancer detection during surgical operations
  77. GSINA: Improving Subgraph Extraction for Graph Invariant Learning via Graph Sinkhorn Attention
  78. Improving LSH via Tensorized Random Projection
  79. A Random Ensemble of Encrypted Vision Transformers for Adversarially Robust Defense
  80. 3D Gaussian as a New Era: A Survey
  81. MAGNETO: Edge AI for Human Activity Recognition -- Privacy and Personalization
  82. EmoWear: Exploring Emotional Teasers for Voice Message Interaction on Smartwatches
  83. INSITE: labelling medical images using submodular functions and semi-supervised data programming
  84. Large-Language-Model Empowered Dose Volume Histogram Prediction for Intensity Modulated Radiotherapy
  85. Social Evolution of Published Text and The Emergence of Artificial Intelligence Through Large Language Models and The Problem of Toxicity and Bias
  86. GeoFormer: A Vision and Sequence Transformer-based Approach for Greenhouse Gas Monitoring
  87. PASOA- PArticle baSed Bayesian Optimal Adaptive design
  88. Effort and Size Estimation in Software Projects with Large Language Model-based Intelligent Interfaces
  89. A hybrid iterative method based on MIONet for PDEs: Theory and numerical examples
  90. Error Estimation for Physics-informed Neural Networks Approximating Semilinear Wave Equations
  91. Explainable Global Wildfire Prediction Models using Graph Neural Networks
  92. Towards Robust Car Following Dynamics Modeling via Blackbox Models: Methodology, Analysis, and Recommendations
  93. Resampling methods for private statistical inference
  94. Learning by Watching: A Review of Video-based Learning Approaches for Robot Manipulation
  95. Two-Stage Multi-task Self-Supervised Learning for Medical Image Segmentation
  96. Next-Generation Teleophthalmology: AI-enabled Quality Assessment Aiding Remote Smartphone-based Consultation
  97. Q-Bench+: A Benchmark for Multi-modal Foundation Models on Low-level Vision from Single Images to Pairs
  98. Towards Quantifying the Preconditioning Effect of Adam
  99. Decoupling Learning and Decision-Making: Breaking the O(√T) Barrier in Online Resource Allocation with First-Order Methods
  100. On the Complexity of First-Order Methods in Stochastic Bilevel Optimization
All 110
  1. Rethinking the Capacity of Graph Neural Networks for Branching Strategy
  2. Improving Pallet Detection Using Synthetic Data
  3. Generalizing Conversational Dense Retrieval via LLM-Cognition Data Augmentation
  4. Self-Correcting Self-Consuming Loops for Generative Model Training
  5. Speech Rhythm-Based Speaker Embeddings Extraction from Phonemes and Phoneme Duration for Multi-Speaker Speech Synthesis
  6. A Highlight Removal Method for Capsule Endoscopy Images
  7. Using Large Language Models for Student-Code Guided Test Case Generation in Computer Science Education
  8. The Relevance Feature and Vector Machine for health applications
  9. Enhancing Multi-field B2B Cloud Solution Matching via Contrastive Pre-training
  10. Using Large Language Models to Automate and Expedite Reinforcement Learning with Reward Machine