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

3,414 papers · page 23 of 35 · the most cited first · ← Findings of the Association for Computational Linguistics 2025

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  1. CIVET: Systematic Evaluation of Understanding in VLMs ↗Massimo Rizzoli, Simone Alghisi, Olha Khomyn et al.
  2. CLIX: Cross-Lingual Explanations of Idiomatic Expressions ↗Aaron Gluck, Katharina von der Wense, Maria Leonor Pacheco
  3. CMBan: Cartoon-Driven Meme Contextual Classification Dataset for Bangla ↗Newaz Ben Alam, Akm Moshiur Rahman Mazumder, Mir Sazzat Hossain et al.
  4. CSTRL: Context-Driven Sequential Transfer Learning for Abstractive Radiology Report Summarization ↗Mst. Fahmida Sultana Naznin, Adnan Ibney Faruq, Mostafa Rifat Tazwar et al.
  5. Can Hallucination Correction Improve Video-Language Alignment? ↗Lingjun Zhao, Mingyang Xie, Paola Cascante-Bonilla et al.
  6. Can Input Attributions Explain Inductive Reasoning in In-Context Learning? ↗Mengyu Ye, Tatsuki Kuribayashi, Goro Kobayashi et al.
  7. Can LLMs Be Efficient Predictors of Conversational Derailment? ↗Kaustubh Olpadkar, Vikram Sunil Bajaj, Leslie Barrett
  8. Can Large Language Models Personalize Dialogues to Generational Styles? ↗Pier Felice Balestrucci, Ondrej Dusek, Luca Anselma et al.
  9. Can Role Vectors Affect LLM Behaviour? ↗Daniele Potertì, Andrea Seveso, Fabio Mercorio
  10. Can Vision Language Models Understand Mimed Actions? ↗Hyundong Justin Cho, Spencer Lin, Tejas Srinivasan et al.
  11. Can We Edit LLMs for Long-Tail Biomedical Knowledge? ↗Xinhao Yi, Jake Lever, Kevin Bryson et al.
  12. Can We Steer Reasoning Direction by Thinking Intervention? ↗Xingsheng Zhang, Luxi Xing, Chen Zhang et al.
  13. Can You Trick the Grader? Adversarial Persuasion of LLM Judges ↗Yerin Hwang, Dongryeol Lee, Taegwan Kang et al.
  14. Cheap Character Noise for OCR-Robust Multilingual Embeddings ↗Andrianos Michail, Juri Opitz, Yining Wang et al.
  15. CodeComplex: Dataset for Worst-Case Time Complexity Prediction ↗SeungYeop Baik, Joonghyuk Hahn, Jungin Kim et al.
  16. CodeV: Issue Resolving with Visual Data ↗Linhao Zhang, Daoguang Zan, Quanshun Yang et al.
  17. Compute Optimal Scaling of Skills: Knowledge vs Reasoning ↗Nicholas Roberts, Niladri S. Chatterji, Sharan Narang et al.
  18. ConciseRL: Conciseness-Guided Reinforcement Learning for Efficient Reasoning Models ↗Razvan-Gabriel Dumitru, Darius Peteleaza, Vikas Yadav et al.
  19. Consultant Decoding: Yet Another Synergistic Mechanism ↗Chuanghao Ding, Jiaping Wang, Ziqing Yang et al.
  20. Context-Robust Knowledge Editing for Language Models ↗Haewon Park, Gyubin Choi, Minjun Kim et al.
  21. Continuous Speech Tokenizer in Text To Speech ↗Yixing Li, Ruobing Xie, Xingwu Sun et al.
  22. Core: Robust Factual Precision with Informative Sub-Claim Identification ↗Zhengping Jiang, Jingyu Zhang, Nathaniel Weir et al.
  23. Cross-Prompt Encoder for Low-Performing Languages ↗Beso Mikaberidze, Temo Saghinadze, Simon Ostermann et al.

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