Hello, and thank you for visiting my site! 👋
My Ph.D. was made in Germany at Saarland University, where I had the privilege of conducting doctoral research under the supervision of Professor Vera Demberg at Saarland Informatics Campus, with support from the European Research Council. This journey culminated in my dissertation receiving the highest grade (opus eximium).
During my doctoral study, I had the opportunity to spend time as a visiting scholar at the University of Edinburgh, where I worked under the guidance of Professor Mirella Lapata. I also contribute to the NLP community as an organization member of ACL Rolling Review, mainly helping to maintain the ARR website. Prior to my Ph.D. studies, I earned an M.Sc. in Computer Science from the University of Amsterdam under the supervision of Professor Khalil Sima'an at the Institute for Logic, Language and Computation (ILLC).
Saarland University Jul 2022 – Jun 2026
Ph.D. in Computational Linguistics
University of Amsterdam Feb 2020 – May 2022
M.Sc. in Computer Science
Central China Normal University Sep 2015 – Jul 2019
B.Eng. in Software Engineering
ACL Rolling Review May 2024 – Present
Organization Team Member
University of Edinburgh Feb 2024 – Aug 2024
Visiting Scholar
National Tsing Hua University Sep 2018 – Jan 2019
Exchange Student
‡ denotes equal contribution.
Summarization is Not Dead Yet
Dongqi Liu, Chenxi Whitehouse, Zheng Zhao, Zhuchen Cao, Jian Li, Yabiao Wang
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2026
RoleArena: A Multi-Agent Role-Playing Environment for Long Multi-Turn Dialogues with Autonomous Plot Progression
Qi Zhao, Jian Li, Yizhang Jin, Dongqi Liu, Hang Ding, Qi Song, Xiang Yang Li
Findings of the Association for Computational Linguistics (EMNLP Findings), 2026
Disco-RAG: Discourse-Aware Retrieval-Augmented Generation
Dongqi Liu, Hang Ding, Qiming Feng, Jian Li, Xurong Xie, Zhucun Xue, Chengjie Wang, Jiangning Zhang, Yabiao Wang
Annual Meeting of the Association for Computational Linguistics (ACL), 2026
TGPO: Efficient Policy Optimization through Sequence Anchor and Information Gating
Hang Ding, Dongqi Liu, Qiming Feng, Jian Li, Tong Lei, Jiafu Wu, Shuo Wang, Jiangning Zhang, Chengjie Wang, Yabiao Wang
International Conference on Machine Learning (ICML), 2026
Explanatory Summarization with Discourse-Driven Planning
Dongqi Liu, Xi Yu, Vera Demberg, Mirella Lapata
Transactions of the Association for Computational Linguistics (TACL), 2025
What Is That Talk About? A Video-to-Text Summarization Dataset for Scientific Presentations
Dongqi Liu, Chenxi Whitehouse, Xi Yu, Louis Mahon, Rohit Saxena, Zheng Zhao, Yifu Qiu, Mirella Lapata, Vera Demberg
Annual Meeting of the Association for Computational Linguistics (ACL), 2025
RST-LoRA: A Discourse-Aware Low-Rank Adaptation for Long Document Abstractive Summarization
Dongqi Liu and Vera Demberg oral
Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2024
SciNews: From Scholarly Complexities to Public Narratives -- A Dataset for Scientific News Report Generation
Dongqi Liu, Yifan Wang, Jia Loy and Vera Demberg oral
Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING), 2024
Incorporating Distributions of Discourse Structure for Long Document Abstractive Summarization
Dongqi Liu, Yifan Wang, and Vera Demberg
Annual Meeting of the Association for Computational Linguistics (ACL), 2023
ChatGPT vs Human-authored Text: Insights into Controllable Text Summarization and Sentence Style Transfer
Dongqi Liu and Vera Demberg
Annual Meeting of the Association for Computational Linguistics: Student Research Workshop (ACL-SRW), 2023
Summarization is Not Dead Yet
Dongqi Liu, Chenxi Whitehouse, Zheng Zhao, Zhuchen Cao, Jian Li, Yabiao Wang
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2026
RoleArena: A Multi-Agent Role-Playing Environment for Long Multi-Turn Dialogues with Autonomous Plot Progression
Qi Zhao, Jian Li, Yizhang Jin, Dongqi Liu, Hang Ding, Qi Song, Xiang Yang Li
Findings of the Association for Computational Linguistics (EMNLP Findings), 2026
Disco-RAG: Discourse-Aware Retrieval-Augmented Generation
Dongqi Liu, Hang Ding, Qiming Feng, Jian Li, Xurong Xie, Zhucun Xue, Chengjie Wang, Jiangning Zhang, Yabiao Wang
Annual Meeting of the Association for Computational Linguistics (ACL), 2026
TGPO: Efficient Policy Optimization through Sequence Anchor and Information Gating
Hang Ding, Dongqi Liu, Qiming Feng, Jian Li, Tong Lei, Jiafu Wu, Shuo Wang, Jiangning Zhang, Chengjie Wang, Yabiao Wang
International Conference on Machine Learning (ICML), 2026
Explanatory Summarization with Discourse-Driven Planning
Dongqi Liu, Xi Yu, Vera Demberg, Mirella Lapata
Transactions of the Association for Computational Linguistics (TACL), 2025
What Is That Talk About? A Video-to-Text Summarization Dataset for Scientific Presentations
Dongqi Liu, Chenxi Whitehouse, Xi Yu, Louis Mahon, Rohit Saxena, Zheng Zhao, Yifu Qiu, Mirella Lapata, Vera Demberg
Annual Meeting of the Association for Computational Linguistics (ACL), 2025
RST-LoRA: A Discourse-Aware Low-Rank Adaptation for Long Document Abstractive Summarization
Dongqi Liu and Vera Demberg oral
Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2024
SciNews: From Scholarly Complexities to Public Narratives -- A Dataset for Scientific News Report Generation
Dongqi Liu, Yifan Wang, Jia Loy and Vera Demberg oral
Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING), 2024
Incorporating Distributions of Discourse Structure for Long Document Abstractive Summarization
Dongqi Liu, Yifan Wang, and Vera Demberg
Annual Meeting of the Association for Computational Linguistics (ACL), 2023
ChatGPT vs Human-authored Text: Insights into Controllable Text Summarization and Sentence Style Transfer
Dongqi Liu and Vera Demberg
Annual Meeting of the Association for Computational Linguistics: Student Research Workshop (ACL-SRW), 2023
Two-Stage Movie Scripts Summarization: An Efficient Method for Low-resource Long Documents Summarization
Dongqi Liu‡, Xudong Hong‡, Pin-Jie Lin‡, Ernie Chang and Vera Demberg
The Workshop on Automatic Summarization for Creative Writing, 2022
Passing Parser Uncertainty to the Transformer: Labeled Dependency Distributions for Neural Machine Translation
Dongqi Liu and Khalil Sima'an
Annual Conference of the European Association for Machine Translation (EAMT), 2022
I hope the things I work on can be useful to others and make a small, positive difference along the way.