ACL

Towards Reward Fairness in RLHF: From a Resource Allocation Perspective

Sheng Ouyang, Yulan Hu, Ge Chen, Qingyang Li, Fuzheng Zhang, Yong Liu

机构 * Gaoling School of Artificial Intelligence, Renmin University of China（中国人民大学人工智能学院） ； Beijing Key Laboratory of Research on Large Models and Intelligent Governance（北京大型模型与智能治理研究重点实验室） ； Engineering Research Center of Next-Generation Intelligent Search and Recommendation, MOE（下一代智能搜索与推荐工程技术研究中心，教育部） ； Kuaishou Technology（快手科技） ； University of Chinese Academy of Sciences（中国科学院大学） 纠错

Comments Accepted to ACL 2025

Enhancing Speech-to-Speech Dialogue Modeling with End-to-End Retrieval-Augmented Generation

Pengchao Feng, Ziyang Ma, Wenxi Chen, Yao Li, Sheng Wang, Kai Yu, Xie Chen

机构 * MoE Key Lab of Artificial Intelligence（人工智能增强实验室） ； Jiangsu Key Lab of Language Computing（江苏语言计算重点实验室） ； X-LANCE Lab（X-LANCE实验室） ； School of Computer Science, Shanghai Jiao Tong University（上海交通大学计算机科学学院） ； Shanghai Innovation Institute（上海创新研究院） ； Shanghai Aviation Electric Co., Ltd（上海航空电器有限公司） 纠错

Comments Accepted to EMNLP 2025 Findings

Journal ref Findings of the Association for Computational Linguistics: EMNLP 2025, pages 4499-4507

It Takes Two: A Dual Stage Approach for Terminology-Aware Translation

Akshat Singh Jaswal

机构 * PES University（PES大学） 纠错

Comments Accepted to WMT 2025. Code availavle at https://github.com/akshat-sj/duterm

Journal ref In Proceedings of the Tenth Conference on Machine Translation, pages 1344-1350, Suzhou, China. Association for Computational Linguistics (2025)

Aspect-Oriented Summarization for Psychiatric Short-Term Readmission Prediction

WonJin Yoon, Boyu Ren, Spencer Thomas, Chanhwi Kim, Guergana Savova, Mei-Hua Hall, Timothy Miller

Comments Published in Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP 2025, Main Track)

Journal ref In Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, pages 28025-28042, Suzhou, China. Association for Computational Linguistics

Planetarium: A Rigorous Benchmark for Translating Text to Structured Planning Languages

Max Zuo, Francisco Piedrahita Velez, Xiaochen Li, Michael L. Littman, Stephen H. Bach

机构 * Brown University（布朗大学） 纠错

Comments NAACL Main Conference 2025

Journal ref Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)