| 2024 | EMNLP | A Probability-Quality Trade-off in Aligned Language Models and its Relation to Sampling Adaptors. | Naaman Tan, Josef Valvoda, Tianyu Liu, Anej Svete, Yanxia Qin, Min-Yen Kan, Ryan Cotterell |
| 2023 | EMNLP | CocoSciSum: A Scientific Summarization Toolkit with Compositional Controllability. | Yixi Ding, Yanxia Qin, Qian Liu, Min-Yen Kan |
| 2023 | EMNLP | The ACL OCL Corpus: Advancing Open Science in Computational Linguistics. | Shaurya Rohatgi, Yanxia Qin, Benjamin Aw, Niranjana Unnithan, Min-Yen Kan |
| 2022 | COLING | Lightweight Contextual Logical Structure Recovery. | Po-Wei Huang, Abhinav Ramesh Kashyap, Yanxia Qin, Yajing Yang, Min-Yen Kan |
| 2021 | ICONIP | A Transformer-Based Model for Low-Resource Event Detection. | Yanxia Qin, Jingjing Ding, Yiping Sun, Xiangwu Ding |
| 2019 | IJCAI | Extracting Entities and Events as a Single Task Using a Transition-Based Neural Model. | Junchi Zhang, Yanxia Qin, Yue Zhang, Mengchi Liu, Donghong Ji |
| 2013 | CICLING | Chinese Terminology Extraction Using EM-Based Transfer Learning Method. | Yanxia Qin, Dequan Zheng, Tiejun Zhao, Min Zhang |
| 2013 | IJCNLP | Feature-Rich Segment-Based News Event Detection on Twitter. | Yanxia Qin, Yue Zhang, Min Zhang, Dequan Zheng |