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All Explained Papers · cs.CL

192 papers in cs.CL. Page 6 of 10. ← Back to home

• arXiv:2604.20131 · cs.CL · submitted 2026-04-22 · explained 2026-04-23
  Whose Story Gets Told? Positionality and Bias in LLM Summaries Life Narratives
  Melanie Subbiah, Haaris Mian, Nicholas Deas, et al.
• arXiv:2604.20135 · cs.CL+1 · submitted 2026-04-22 · explained 2026-04-23
  AFMRL: Attribute-Enhanced Fine-Grained Multi-Modal Representation Learning in E-commerce
  Biao Zhang, Lixin Chen, Bin Zhang, 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:2604.20166 · cs.CL+1 · submitted 2026-04-22 · explained 2026-04-23
  Aligning Trust in Mental Health AI Through Human-AI-Interaction: Survey and Position for Multi-Stakeholders
  Xin Sun, Yue Su, Yifan Mo, et al.
• arXiv:2604.20168 · cs.CL · submitted 2026-04-22 · explained 2026-04-23
  Duluth at SemEval-2026 Task 6: DeBERTa with LLM-Augmented Data for Unmasking Political Question Evasions
  Shujauddin Syed, Ted Pedersen
• arXiv:2604.20183 · cs.CL · submitted 2026-04-22 · explained 2026-04-23
  Dual-Cluster Memory Agent: Resolving Multi-Paradigm Ambiguity in Optimization Problem Solving
  Xinyu Zhang, Yuchen Wan, Boxuan Zhang, et al.
• arXiv:2604.20199 · cs.CL · submitted 2026-04-22 · explained 2026-04-23
  All Languages Matter: Understanding and Mitigating Language Bias in Multilingual RAG
  Dan Wang, Guozhao Mo, Yafei Shi, et al.
• arXiv:2604.20200 · cs.CL · submitted 2026-04-22 · explained 2026-04-23
  Chasing the Public Score: User Pressure and Evaluation Exploitation in Coding Agent Workflows
  Hardy Chen, Nancy Lau, Haoqin Tu, et al.
• arXiv:2604.20216 · cs.CL · submitted 2026-04-22 · explained 2026-04-23
  Text-to-Distribution Prediction with Quantile Tokens and Neighbor Context
  Yilun Zhu, Yuan Zhuang, Nikhita Vedula, et al.
• arXiv:2604.20221 · cs.CL · submitted 2026-04-22 · explained 2026-04-23
  Markov reads Pushkin, again: A statistical journey into the poetic world of Evgenij Onegin
  Angelo Maria Sabatini
• arXiv:2604.20225 · cs.CL · submitted 2026-04-22 · explained 2026-04-23
  The GaoYao Benchmark: A Comprehensive Framework for Evaluating Multilingual and Multicultural Abilities of Large Language Models
  Yilun Liu, Chunguang Zhao, Mengyao Piao, et al.
• arXiv:2604.20241 · cs.CL+1 · submitted 2026-04-22 · explained 2026-04-23
  Construction of a Battery Research Knowledge Graph using a Global Open Catalog
  Luca Foppiano, Sae Dieb, Malik Zain, et al.
• arXiv:2604.20244 · cs.CL+1 · submitted 2026-04-22 · explained 2026-04-23
  Hybrid Policy Distillation for LLMs
  Wenhong Zhu, Ruobing Xie, Rui Wang, et al.
• 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:2604.20283 · cs.CL · submitted 2026-04-22 · explained 2026-04-23
  Multi-Perspective Evidence Synthesis and Reasoning for Unsupervised Multimodal Entity Linking
  Mo Zhou, Jianwei Wang, Kai Wang, 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:2604.20382 · cs.CL · submitted 2026-04-22 · explained 2026-04-23
  Graph2Counsel: Clinically Grounded Synthetic Counseling Dialogue Generation from Client Psychological Graphs
  Aishik Mandal, Hiba Arnaout, Clarissa W. Ong, 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.
• arXiv:2604.20447 · cs.CL · submitted 2026-04-22 · explained 2026-04-23
  Decoding Text Spans for Efficient and Accurate Named-Entity Recognition
  Andrea Maracani, Savas Ozkan, Junyi Zhu, et al.