I’m a third-year Ph.D. student in the Computer Science department at Yale University working on Natural Language Processing. My advisor is Professor Arman Cohan, and I was very fortunate to have Professor Dragomir Radev as my advisor during my first two years at Yale. Before coming to Yale, I received my master’s degree from the Language Technologies Institute at Carnegie Mellon University, working with Professor Graham Neubig, Professor Pengfei Liu, and other amazing faculties and students on various projects related to text generation and summarization. I started my NLP research during my undergraduate study at Fudan University, where I worked with Professor Xipeng Qiu for my bachelor’s thesis on text style transfer. Beyond academic research, I also worked as a research intern at Google DeepMind (Summer 2023), and Microsoft Research (Summer 2022).
My research interests focus on developing robust evaluation methodologies for language model evaluation, and designing training algorithms that can explicitly utilize the evaluation signals to improve the model performance. I work mostly on text summarization, as I believe it is a generic and important testbed for studying natural language generation.
Please visit here for a selected list of my publications.
Benchmarking Generation and Evaluation Capabilities of Large Language Models for Instruction Controllable Summarization
Yixin Liu*, Alexander R. Fabbri*, Jiawen Chen, Yilun Zhao, Simeng Han, Shafiq Joty, Pengfei Liu, Dragomir Radev, Chien-Sheng Wu, Arman Cohan
Improving Large Language Model Fine-tuning for Solving Math Problems
Yixin Liu, Avi Singh, C. Daniel Freeman, John D. Co-Reyes, Peter J. Liu
Towards Interpretable and Efficient Automatic Reference-Based Summarization Evaluation
Yixin Liu, Alexander R. Fabbri, Yilun Zhao, Pengfei Liu, Shafiq Joty, Chien-Sheng Wu, Caiming Xiong, Dragomir Radev
EMNLP 2023 [Paper][Code]
Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human Evaluation
Yixin Liu*, Alexander R. Fabbri*, Pengfei Liu, Yilun Zhao, Linyong Nan, Ruilin Han, Simeng Han, Shafiq Joty, Chien-Sheng Wu, Caiming Xiong, Dragomir Radev
ACL 2023 [Paper][Code]
DataLab: A Platform for Data Analysis and Intervention
Yang Xiao, Jinlan Fu, Weizhe Yuan, Vijay Viswanathan, Zhoumianze Liu, Yixin Liu, Graham Neubig, Pengfei Liu
Outstanding Demo Paper! System Demonstrations @ACL 2022 [Paper][Code][Demo]
EXPLAINABOARD: An Explainable Leaderboard for NLP
Pengfei Liu, Jinlan Fu, Yang Xiao, Weizhe Yuan, Shuaichen Chang, Junqi Dai, Yixin Liu, Zihuiwen Ye, Graham Neubig
Best Demo Paper! System Demonstrations @ACL 2021 [Paper][Code][Demo]