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All Explained Papers · cs.CL

1640 papers in cs.CL. Page 6 of 82. ← Back to home

• arXiv:2608.19098 · cs.LG+2 · submitted 2026-08-19 · explained 2026-08-20
  Open-MOPD: Diagnosing and Fixing Capability Imbalance in Multi-Teacher On-Policy Distillation
  Huan-ang Gao, Haohan Chi, Yong Yan, et al.
• arXiv:2608.19181 · cs.LG+2 · submitted 2026-08-19 · explained 2026-08-20
  Beyond Teacher Likelihood: Group-Calibrated On-Policy Distillation for Long-Context Reasoning
  Zhu Zhang, Jixun Wang, Xiaoang Xu, et al.
• arXiv:2608.18260 · cs.AI+4 · submitted 2026-08-18 · explained 2026-08-20
  Redakto – The Incognito Tab for LLMs
  Saurav Kumar Saha, Tom Röhr, Felix Bießmann
• arXiv:2608.18307 · cs.AI+2 · submitted 2026-08-18 · explained 2026-08-20
  ComponentBench: Diagnosing Component-Level Failures in Computer-Use Agents
  Tianchen Guan, Xinlei Lin, Royce Cheng-Yue, et al.
• arXiv:2608.18591 · cs.AI+1 · submitted 2026-08-19 · explained 2026-08-20
  Can a Lightweight Multimodal Model Estimate LLM Reasoning Performance? A Study for Compute-Optimal Document Inference
  Zishan Ahmad, Vishal Vaddina
• arXiv:2608.18744 · cs.AI+2 · submitted 2026-08-19 · explained 2026-08-20
  Metrics That Write Themselves: Evolving an Evaluator from Its Own Blind Spots
  Xing Zhang, Yanwei Cui, Guanghui Wang, et al.
• arXiv:2608.19029 · cs.AI+2 · submitted 2026-08-19 · explained 2026-08-20
  Adaptive Memory and Reflection Multi-Agent System for Medical Question Answering
  Pradeep Murugesan, Luoxiao Yang, Xueli Chen, et al.
• arXiv:2608.19072 · cs.AI+2 · submitted 2026-08-19 · explained 2026-08-20
  What is Missing from AI Post-Training AI: Empirical Analysis
  Joy Jia Yin Lim, Xin Huang, Hao Peng, et al.
• arXiv:2605.27483 · cs.CL+2 · submitted 2026-05-26 · explained 2026-08-19
  Debate Helps Weak Judges Reward Stronger Models
  Ethan Elasky, Frank Nakasako, Naman Goyal
• arXiv:2605.03301 · cs.CL+1 · submitted 2026-05-05 · explained 2026-08-19
  SHIELD: A Diverse Clinical Note Dataset and Distilled Small Language Models for Enterprise-Scale De-identification
  Jose D. Posada, David Love, Somalee Datta, et al.
• arXiv:2604.15945 · cs.CL+1 · submitted 2026-04-17 · explained 2026-08-19
  RAGognizer: Hallucination-Aware Fine-Tuning via Detection Head Integration
  Fabian Ridder, Laurin Lessel, Malte Schilling
• arXiv:2603.22293 · cs.CL+2 · submitted 2026-03-11 · explained 2026-08-19
  TIPS: Turn-level Information-Potential Reward Shaping for Search-Augmented LLMs
  Yutao Xie, Nathaniel Thomas, Nicklas Hansen, et al.
• arXiv:2603.13023 · cs.SE+2 · submitted 2026-03-13 · explained 2026-08-19
  daVinci-Env: Open SWE Environment Synthesis at Scale
  Dayuan Fu, Shenyu Wu, Yunze Wu, et al.
• arXiv:2603.04370 · cs.AI+2 · submitted 2026-03-04 · explained 2026-08-19
  $$-Knowledge: Evaluating Conversational Agents over Unstructured Knowledge
  Quan Shi, Alexandra Zytek, Pedram Razavi, et al.
• arXiv:2602.07036 · cs.SD+3 · submitted 2026-02-03 · explained 2026-08-19
  MenaSpeechBank: Persona-Grounded Synthetic Conversational Speech for Instruction-Tuning Audio LLMs
  Zien Sheikh Ali, Hunzalah Hassan Bhatti, Rabindra Nath Nandi, et al.
• arXiv:2601.16314 · cs.CL+1 · submitted 2026-01-22 · explained 2026-08-19
  Machine-Assisted Grading of Nationwide School-Leaving Essay Exams with LLMs and Statistical NLP
  Andres Karjus, Kais Allkivi, Silvia Maine, et al.
• arXiv:2601.03515 · cs.CL+1 · submitted 2026-01-07 · explained 2026-08-19
  Benchmarking Multimodal Long-Term Conversational Memory for MLLM Agents
  Yuanchen Bei, Tianxin Wei, Xuying Ning, et al.
• arXiv:2512.16041 · cs.CL+1 · submitted 2025-12-17 · explained 2026-08-19
  Are We on the Right Way to Assessing LLM-as-a-Judge?
  Yuanning Feng, Sinan Wang, Zhengxiang Cheng, et al.
• arXiv:2510.25799 · cs.CL · submitted 2025-10-29 · explained 2026-08-19
  LISTEN to Your Preferences: An LLM Framework for Multi-Objective Selectionfootnote1Accepted at IJCAI-ECAI 2026, the 35th International Joint Conference on Artificial Intelligence.
  Adam S. Jovine, Tinghan Ye, Francis Bahk, et al.
• arXiv:2510.17671 · cs.LG+2 · submitted 2025-10-20 · explained 2026-08-19
  Bayesian Optimization with Natural Language Feedback
  Katarzyna Kobalczyk, Zhiyuan Jerry Lin, Benjamin Letham, et al.