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

3,414 papers · page 22 of 35 · the most cited first · ← Findings of the Association for Computational Linguistics 2025

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  1. AraSafe: Benchmarking Safety in Arabic LLMs ↗Hamdy Mubarak, Abubakr Mohamed, Majd Hawasly
  2. As easy as PIE: understanding when pruning causes language models to disagree ↗Pietro Tropeano, Maria Maistro, Tuukka Ruotsalo et al.
  3. Assessing the Role of Data Quality in Training Bilingual Language Models ↗Skyler Seto, Maartje Ter Hoeve, Maureen de Seyssel et al.
  4. Atomic Calibration of LLMs in Long-Form Generations ↗Caiqi Zhang, Ruihan Yang, Zhisong Zhang et al.
  5. Automating Alternative Generation in Decision-Making ↗Yevhen Kostiuk, Clara Seyfried, Chris Reed
  6. Bandit-Based Prompt Design Strategy Selection Improves Prompt Optimizers ↗Rin Ashizawa, Yoichi Hirose, Nozomu Yoshinari et al.
  7. Benchmarking and Improving LLM Robustness for Personalized Generation ↗Chimaobi Okite, Naihao Deng, Kiran Bodipati et al.
  8. Beyond Linear Steering: Unified Multi-Attribute Control for Language Models ↗Narmeen Fatimah Oozeer, Luke Marks, Fazl Barez et al.
  9. Beyond the Average Reader: the Reader Embedding Approach ↗Calogero Jerik Scozzaro, Matteo Delsanto, Daniele P. Radicioni
  10. BiMax: Bidirectional MaxSim Score for Document-Level Alignment ↗Xiaotian Wang, Takehito Utsuro, Masaaki Nagata
  11. CARMO: Dynamic Criteria Generation for Context Aware Reward Modelling ↗Taneesh Gupta, Shivam Shandilya, Xuchao Zhang et al.
  12. CCG: Rare-Label Prediction via Neural SEM–Driven Causal Game ↗Yijia Fan, Jusheng Zhang, Kaitong Cai et al.

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