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All Explained Papers · cs.CL

1640 papers in cs.CL. Page 2 of 82. ← Back to home

• arXiv:2505.12864 · cs.CL+2 · submitted 2025-05-19 · explained 2026-08-20
  LEXam: Benchmarking Legal Reasoning on 340 Law Exams
  Yu Fan, Jingwei Ni, Jakob Merane, et al.
• arXiv:2504.19162 · cs.CL+2 · submitted 2025-04-27 · explained 2026-08-20
  SPC: Evolving Self-Play Critic via Adversarial Games for LLM Reasoning
  Jiaqi Chen, Bang Zhang, Ruotian Ma, et al.
• arXiv:2502.16982 · cs.LG+2 · submitted 2025-02-24 · explained 2026-08-20
  0.1[width=0.032]figures/logo.png Muon is Scalable for LLM Training
  Jingyuan Liu, Jianlin Su, Xingcheng Yao, et al.
• arXiv:2502.00988 · cs.CL+1 · submitted 2025-02-03 · explained 2026-08-20
  PlotGen: Multi-Agent LLM-based Scientific Data Visualization via Multimodal Feedback
  Kanika Goswami, Puneet Mathur, Ryan Rossi, et al.
• arXiv:2410.22932 · cs.CL · submitted 2024-10-30 · explained 2026-08-20
  Multi-Agent Large Language Models for Conversational Task-Solving
  Jonas Becker
• arXiv:2410.18976 · cs.CV+4 · submitted 2024-10-24 · explained 2026-08-20
  [width=1cm]Figures/Camel.pdf CAMEL-Bench: A Comprehensive Arabic LMM Benchmark
  Sara Ghaboura, Ahmed Heakl, Omkar Thawakar, et al.
• arXiv:2410.11414 · cs.CL · submitted 2024-10-15 · explained 2026-08-20
  ReDeEP: Detecting Hallucination in Retrieval-Augmented Generation via Mechanistic Interpretability
  Zhongxiang Sun, Xiaoxue Zang, Kai Zheng, et al.
• arXiv:2410.05160 · cs.CV+2 · submitted 2024-10-07 · explained 2026-08-20
  VLM2Vec: Training Vision-Language Models for Massive Multimodal Embedding Tasks
  Ziyan Jiang, Rui Meng, Xinyi Yang, et al.
• arXiv:2409.11404 · cs.CL+1 · submitted 2024-09-17 · explained 2026-08-20
  darkskyAraDiCE: Benchmarks for Dialectal and Cultural Capabilities in LLMs
  Basel Mousi, Nadir Durrani, Fatema Ahmad, et al.
• arXiv:2407.21439 · cs.AI+2 · submitted 2024-07-31 · explained 2026-08-20
  MLLM Is a Strong Reranker: Advancing Multimodal Retrieval-augmented Generation via Knowledge-enhanced Reranking and Noise-injected Training
  Zhanpeng Chen, Chengjin Xu, Yiyan Qi, et al.
• arXiv:2407.12580 · cs.CL+2 · submitted 2024-07-17 · explained 2026-08-20
  E5-V: Multimodal Embedding with Large Language Models
  Ting Jiang, Minghui Song, Zihan Zhang, et al.
• arXiv:2406.04770 · cs.CL+1 · submitted 2024-06-07 · explained 2026-08-20
  WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the Wild
  Bill Yuchen Lin, Yuntian Deng, Khyathi Chandu, et al.
• arXiv:2405.16884 · cs.CL+1 · submitted 2024-05-27 · explained 2026-08-20
  Match, Compare, or Select? An Investigation of Large Language Models for Entity Matching
  Tianshu Wang, Xiaoyang Chen, Hongyu Lin, et al.
• arXiv:2403.18152 · cs.CL · submitted 2024-03-26 · explained 2026-08-20
  Large Language Models as Financial Data Annotators: A Study on Effectiveness and Efficiency
  Toyin Aguda, Suchetha Siddagangappa, Elena Kochkina, et al.
• arXiv:2403.07974 · cs.SE+2 · submitted 2024-03-12 · explained 2026-08-20
  LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code
  Naman Jain, King Han, Alex Gu, et al.
• arXiv:2401.15077 · cs.LG+1 · submitted 2024-01-26 · explained 2026-08-20
  [width=0.06]./figs/logo EAGLE: Speculative Sampling Requires Rethinking Feature Uncertainty
  Yuhui Li, Fangyun Wei, Chao Zhang, et al.
• arXiv:2401.13919 · cs.CL+1 · submitted 2024-01-25 · explained 2026-08-20
  WebVoyager [width=0.04]figures/emoji/v2.png: Building an End-to-End Web Agent with Large Multimodal Models
  Hongliang He, Wenlin Yao, Kaixin Ma, et al.
• arXiv:2401.13649 · cs.LG+2 · submitted 2024-01-24 · explained 2026-08-20
  VisualWebArena: Evaluating Multimodal Agents on Realistic Visually Grounded Web Tasks
  Jing Yu Koh, Robert Lo, Lawrence Jang, et al.
• arXiv:2312.13010 · cs.CL · submitted 2023-12-20 · explained 2026-08-20
  AgentCoder: Multi-Agent Code Generation with Effective Testing and Self-optimisation
  Dong Huang, Jie M. Zhang, Michael Luck, et al.
• arXiv:2311.06233 · cs.CL+2 · submitted 2023-11-10 · explained 2026-08-20
  Data Contamination Quiz: A Tool to Detect and Estimate Contamination in Large Language Models
  Shahriar Golchin, Mihai Surdeanu