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Findings of the Association for Computational Linguistics 2025: all accepted papers

3,414 papers · page 3 of 35 · the most cited first · ← Findings of the Association for Computational Linguistics 2025

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  1. Wanda++: Pruning Large Language Models via Regional Gradients ↗Yifan Yang, Kai Zhen, Bhavana Ganesh et al.8 citations
  2. Beyond Browsing: API-Based Web Agents ↗Yueqi Song, Frank F. Xu, Shuyan Zhou et al.7 citations
  3. BlockPruner: Fine-grained Pruning for Large Language Models ↗Longguang Zhong, Fanqi Wan, Ruijun Chen et al.7 citations
  4. COIG-CQIA: Quality is All You Need for Chinese Instruction Fine-tuning ↗Yuelin Bai, Xeron Du, Yiming Liang et al.7 citations
  5. Exploring Multi-Modal Data with Tool-Augmented LLM Agents for Precise Causal Discovery ↗ChengAo Shen, Zhengzhang Chen, Dongsheng Luo et al.7 citations
  6. FunnelRAG: A Coarse-to-Fine Progressive Retrieval Paradigm for RAG ↗Xinping Zhao, Yan Zhong, Zetian Sun et al.7 citations
  7. Human-LLM Coevolution: Evidence from Academic Writing ↗Mingmeng Geng, Roberto Trotta7 citations
  8. Language Models Can Easily Learn to Reason from Demonstrations ↗Dacheng Li, Shiyi Cao, Tyler Griggs et al.7 citations
  9. Large Language Models Are Natural Video Popularity Predictors ↗Pratik Kayal, Pascal Mettes, Nima Dehmamy et al.7 citations
  10. Mechanistic Interpretability of Emotion Inference in Large Language Models ↗Ala N. Tak, Amin Banayeeanzade, Anahita Bolourani et al.7 citations
  11. MediVLM: A Vision Language Model for Radiology Report Generation from Medical Images ↗Debanjan Goswami, Ronast Subedi, Shayok Chakraborty7 citations
  12. NegVQA: Can Vision Language Models Understand Negation? ↗Yuhui Zhang, Yuchang Su, Yiming Liu et al.7 citations
  13. Offline Reinforcement Learning for LLM Multi-step Reasoning ↗Huaijie Wang, Shibo Hao, Hanze Dong et al.7 citations
  14. On the Impacts of Contexts on Repository-Level Code Generation ↗Nam Le Hai, Dung Manh Nguyen, Nghi D. Q. Bui7 citations
  15. Probing-RAG: Self-Probing to Guide Language Models in Selective Document Retrieval ↗Ingeol Baek, Hwan Chang, ByeongJeong Kim et al.7 citations
  16. ReMamba: Equip Mamba with Effective Long-Sequence Modeling ↗Danlong Yuan, Jiahao Liu, Bei Li et al.7 citations
  17. SignMusketeers: An Efficient Multi-Stream Approach for Sign Language Translation at Scale ↗Shester Gueuwou, Xiaodan Du, Greg Shakhnarovich et al.7 citations
  18. UniRAG: Universal Retrieval Augmentation for Large Vision Language Models ↗Sahel Sharifymoghaddam, Shivani Upadhyay, Wenhu Chen et al.7 citations
  19. Unveiling the Key Factors for Distilling Chain-of-Thought Reasoning ↗Xinghao Chen, Zhijing Sun, Guo Wenjin et al.7 citations
  20. Why Uncertainty Estimation Methods Fall Short in RAG: An Axiomatic Analysis ↗Heydar Soudani, Evangelos Kanoulas, Faegheh Hasibi7 citations
  21. A Comprehensive Taxonomy of Negation for NLP and Neural Retrievers ↗Roxana Petcu, Samarth Bhargav, Maarten de Rijke et al.6 citations
  22. AMEX: Android Multi-annotation Expo Dataset for Mobile GUI Agents ↗Yuxiang Chai, Siyuan Huang, Yazhe Niu et al.6 citations
  23. Accounting for Sycophancy in Language Model Uncertainty Estimation ↗Anthony Sicilia, Mert Inan, Malihe Alikhani6 citations
  24. Adaptive Retrieval-Augmented Generation for Conversational Systems ↗Xi Wang, Procheta Sen, Ruizhe Li et al.6 citations
  25. AutoDCWorkflow: LLM-based Data Cleaning Workflow Auto-Generation and Benchmark ↗Lan Li, Liri Fang, Bertram Ludäscher et al.6 citations
  26. Breaking ReAct Agents: Foot-in-the-Door Attack Will Get You In ↗Itay Nakash, George Kour, Guy Uziel et al.6 citations
  27. CitaLaw: Enhancing LLM with Citations in Legal Domain ↗Kepu Zhang, Weijie Yu, Sunhao Dai et al.6 citations
  28. Data Poisoning for In-context Learning ↗Pengfei He, Han Xu, Yue Xing et al.6 citations
  29. DebUnc: Improving Large Language Model Agent Communication With Uncertainty Metrics ↗Luke Yoffe, Alfonso Amayuelas, William Yang Wang6 citations
  30. Evaluating Evaluation Metrics – The Mirage of Hallucination Detection ↗Atharva Kulkarni, Yuan Zhang, Joel Ruben Antony Moniz et al.6 citations
  31. FeRG-LLM : Feature Engineering by Reason Generation Large Language Models ↗Jeonghyun Ko, Gyeongyun Park, Donghoon Lee et al.6 citations
  32. How Good are LLM-based Rerankers? An Empirical Analysis of State-of-the-Art Reranking Models ↗Abdelrahman Abdallah, Bhawna Piryani, Jamshid Mozafari et al.6 citations
  33. IW-Bench: Evaluating Large Multimodal Models for Converting Image-to-Web ↗Hongcheng Guo, Wei Zhang, Junhao Chen et al.6 citations
  34. MVTamperBench: Evaluating Robustness of Vision-Language Models ↗Amit Agarwal, Srikant Panda, Angeline Charles et al.6 citations

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