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All Explained Papers · cs.LG

167 papers in cs.LG. Page 4 of 9. ← Back to home

• arXiv:2605.14938 · cs.LG+1 · submitted 2026-05-14 · explained 2026-05-17
  1exOctopus: History-Free Gradient Orthogonalization for Continual Learning in Multimodal Large Language Models
  Yuehao Liu, Shanyan Guan, Weijia Zhang, et al.
• arXiv:2605.14940 · cs.LG+2 · submitted 2026-05-14 · explained 2026-05-17
  Not All Symbols Are Equal: Importance-Aware Constellation Design for Semantic Communication-4mm
  Albert Shaju, Christo Kurisummoottil Thomas, Mayukh Roy Chowdhury
• arXiv:2605.14953 · cs.LG · submitted 2026-05-14 · explained 2026-05-17
  Efficient Online Conformal Selection with Limited Feedback
  Sreenivas Gollapudi, Kostas Kollias, Kamesh Munagala, et al.
• arXiv:2605.14967 · cs.LG+1 · submitted 2026-05-14 · explained 2026-05-17
  InfoSFT: Learn More and Forget Less with Information-Aware Token Weighting
  Mahdi Sabbaghi, George Pappas, Adel Javanmard, et al.
• arXiv:2605.14981 · cs.LG · submitted 2026-05-14 · explained 2026-05-17
  Distance-Matrix Wasserstein Statistics for Scalable Gromov--Wasserstein Learning
  Ao Xu, Tieru Wu
• arXiv:2605.14982 · cs.LG+1 · submitted 2026-05-14 · explained 2026-05-17
  Second-Order Actor-Critic Methods for Discounted MDPs via Policy Hessian Decomposition
  Sanjeev Manivannan, Shuban V
• arXiv:2605.15009 · cs.LG · submitted 2026-05-14 · explained 2026-05-17
  DeepTokenEEG: Enhancing Mild Cognitive Impairment and Alzheimer’s Classification via Tokenized EEG Features
  Thinh Nguyen-Quang, Minh Long Ngo, Ngoc-Son Nguyen, et al.
• arXiv:2605.15012 · cs.LG+2 · submitted 2026-05-14 · explained 2026-05-17
  Boosting Reinforcement Learning with Verifiable Rewards via Randomly Selected Few-Shot Guidance
  Kai Yan, Alexander G. Schwing, Yu-Xiong Wang
• arXiv:2605.15018 · cs.LG+1 · submitted 2026-05-14 · explained 2026-05-17
  Generalized Priority-Aware Shapley Value
  Kiljae Lee, Ziqi Liu, Weijing Tang, et al.
• arXiv:2605.15035 · cs.LG · submitted 2026-05-14 · explained 2026-05-17
  TopoPrimer: The Missing Topological Context in Forecasting Models
  Zara Zetlin, Kayhan Moharreri, Maria Safi
• arXiv:2605.15050 · cs.LG · submitted 2026-05-14 · explained 2026-05-17
  Separating Intrinsic Ambiguity from Estimation Uncertainty in Deep Generative Models for Linear Inverse Problems
  Yuxin Guo, Dongrui Deng, Pulkit Grover
• arXiv:2605.14912 · cs.AI+3 · submitted 2026-05-14 · explained 2026-05-16
  From Sycophantic Consensus to Pluralistic Repair: Why AI Alignment Must Surface Disagreement
  Varad Vishwarupe, Nigel Shadbolt, Marina Jirotka
• arXiv:2605.14995 · cs.AI+3 · submitted 2026-05-14 · explained 2026-05-16
  Explainable Detection of Depression Status Shifts from User Digital Traces
  Loris Belcastro, Francesco Gervino, Fabrizio Marozzo, et al.
• arXiv:2604.20051 · cs.CL+1 · submitted 2026-04-21 · explained 2026-04-23
  Bootstrapping Post-training Signals for Open-ended Tasks via Rubric-based Self-play on Pre-training Text
  Chengyu Huang, Sheng-Yen Chou, Zhengxin Zhang, et al.
• arXiv:2604.20087 · cs.CL+1 · submitted 2026-04-22 · explained 2026-04-23
  SkillLearnBench: Benchmarking Continual Learning Methods for Agent Skill Generation on Real-World Tasks
  Shanshan Zhong, Yi Lu, Jingjie Ning, et al.
• arXiv:2604.20148 · cs.CL+2 · submitted 2026-04-22 · explained 2026-04-23
  Meta-Tool: Efficient Few-Shot Tool Adaptation for Small Language Models
  Sachin Kumar
• arXiv:2604.20256 · cs.CL+1 · submitted 2026-04-22 · explained 2026-04-23
  RADS: Reinforcement Learning-Based Sample Selection Improves Transfer Learning in Low-resource and Imbalanced Clinical Settings
  Wei Han, David Martinez, Anna Khanina, et al.
• arXiv:2604.20331 · cs.CL+2 · submitted 2026-04-22 · explained 2026-04-23
  Surrogate modeling for interpreting black-box LLMs in medical predictions
  Changho Han, Songsoo Kim, Dong Won Kim, et al.
• arXiv:2604.20398 · cs.CL+2 · submitted 2026-04-22 · explained 2026-04-23
  WebGen-R1: Incentivizing Large Language Models to Generate Functional and Aesthetic Websites with Reinforcement Learning
  Juyong Jiang, Chenglin Cai, Chansung Park, et al.
• arXiv:2604.20443 · cs.CL+2 · submitted 2026-04-22 · explained 2026-04-23
  DialToM: A Theory of Mind Benchmark for Forecasting State-Driven Dialogue Trajectories
  Neemesh Yadav, Palakorn Achananuparp, Jing Jiang, et al.