[Curriculum Vitae]

Short Biography

Dr. Fei Liu is an Associate Professor in the Computer Science Department at Emory University, specializing in natural language generation, large language model inference, reasoning, deep learning, and generative AI. Her research focuses on pushing the boundaries of natural language generation and understanding, developing innovative model architectures, training methodologies, and robust evaluation metrics. With the rapid growth of information from diverse sources, Dr. Liu develops techniques that enable systems to effectively distill, interpret, and generate meaningful insights from massive datasets.

Dr. Liu held a postdoctoral fellowship at Carnegie Mellon University, where she was a member of Noah's ARK. Prior to that, she worked as a senior scientist at Bosch Research in Palo Alto, California. Bosch is one of Germany's largest companies and a leading provider of intelligent car systems and home appliances. Dr. Liu received her Ph.D. in computer science from the University of Texas at Dallas, supported by the Erik Jonsson Distinguished Research Fellowship. Her academic journey began at Fudan University, where she completed her bachelor's and master's degrees in computer science.

Dr. Liu has published over 90 peer-reviewed papers in top-tier conferences and journals, and she regularly serves on program committees for major international conferences. In 2015, she was selected for the "MIT Rising Stars in EECS" program. Her research has been recognized with several awards, including a Best Paper Award Finalist at WWW 2016, an Area Chair Favorite Paper at COLING 2018, an Amazon AWS Machine Learning Research Award in 2020, and the NSF CAREER Award in 2022.

Research Interests

• Natural Language Generation
• Large Language Models (LLMs)
• Inference, Reasoning, Decision-Making
• Deep Learning
• Artificial Intelligence, GenAI

Recent Publications [Full List] [Google Scholar]

• STRUX: An LLM for Decision-Making with Structured Explanations
  Yiming Lu, Yebowen Hu, Hassan Foroosh, Wei Jin, and Fei Liu
  In arXiv preprint arXiv:2410.12583, 2024
  
• DeFine: Enhancing LLM Decision-Making with Factor Profiles and Analogical Reasoning
  Yebowen Hu, Xiaoyang Wang, Wenlin Yao, Yiming Lu, Daoan Zhang, Hassan Foroosh, Dong Yu, and Fei Liu
  In arXiv preprint arXiv:2410.01772, 2024
  
• When Reasoning Meets Information Aggregation: A Case Study with Sports Narratives
  Yebowen Hu, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Wenlin Yao, Hassan Foroosh, Dong Yu, Fei Liu
  In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024
  
• SportsMetrics: Blending Text and Numerical Data to Understand Information Fusion in LLMs
  Yebowen Hu, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Hassan Foroosh, Dong Yu and Fei Liu
  In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL), 2024
  
• InFoBench: Evaluating Instruction Following Ability in Large Language Models
  Yiwei Qin, Kaiqiang Song, Yebowen Hu, Wenlin Yao, Sangwoo Cho, Xiaoyang Wang, Xuansheng Wu, Fei Liu, Pengfei Liu and Dong Yu
  In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL), Findings, 2024
  
• Rescue: Ranking LLM Responses with Partial Ordering to Improve Response Generation
  Yikun Wang, Rui Zheng, Haoming Li, Qi Zhang, Tao Gui and Fei Liu
  In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL), SRW, 2024
  
• DecipherPref: Analyzing Influential Factors in Human Preference Judgments via GPT-4
  Yebowen Hu, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Hassan Foroosh and Fei Liu
  In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
  
• MeetingBank: A Benchmark Dataset for Meeting Summarization
  Yebowen Hu, Tim Ganter, Hanieh Deilamsalehy, Franck Dernoncourt, Hassan Foroosh and Fei Liu
  In Proceedings of the 61th Annual Meeting of the Association for Computational Linguistics (ACL), 2023
  
• Generating User-Engaging News Headlines
  Pengshan Cai, Kaiqiang Song, Sangwoo Cho, Hongwei Wang, Xiaoyang Wang, Hong Yu, Fei Liu and Dong Yu
  In Proceedings of the 61th Annual Meeting of the Association for Computational Linguistics (ACL), 2023
  
• Toward Unifying Text Segmentation and Long Document Summarization
  Sangwoo Cho, Kaiqiang Song, Xiaoyang Wang, Fei Liu and Dong Yu
  In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
  
• Towards Abstractive Grounded Summarization of Podcast Transcripts
  Kaiqiang Song, Chen Li, Xiaoyang Wang, Dong Yu and Fei Liu
  In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL), 2022
  
• StreamHover: Livestream Transcript Summarization and Annotation
  Sangwoo Cho, Franck Dernoncourt, Tim Ganter, Trung Bui, Nedim Lipka, Walter Chang, Hailin Jin, Jonathan Brandt, Hassan Foroosh and Fei Liu
  In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021
  
• CATE: Computation-aware Neural Architecture Encoding with Transformers
  Shen Yan, Kaiqiang Song, Fei Liu, Mi Zhang
  In Proceedings of the 38th International Conference on Machine Learning (ICML), 2021
  
• MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance
  Wei Zhao, Maxime Peyrard, Fei Liu, Yang Gao, Christian M. Meyer and Steffen Eger
  In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing (EMNLP), Hong Kong, China, 2019
  
• Toward Abstractive Summarization Using Semantic Representations
  Fei Liu, Jeffrey Flanigan, Sam Thomson, Norman Sadeh and Noah A. Smith
  In Proceedings of the North American Chapter of the Association for Computational Linguistics (NAACL), Denver, Colorado, 2015
  

Professional Service

• Senior area chair, NAACL 2024, ACL 2024, Natural Language Generation track
• Editor, Artificial Intelligence Journal (AIJ), 2024--
• Associate Editor, Journal of Artificial Intelligence Research (JAIR), 2023--
• Action Editor, Transactions of the ACL (TACL), 2022--
• Senior area chair, EMNLP 2021, 2022
• Area chair, NAACL 2021, ACL 2021
• General Publications Chair, EMNLP 2020
• Senior area chair, ACL 2020
• Senior program committee, AAAI 2020, 2022
• Area chair, NAACL 2019, ACL 2019
• Publications chair, EMNLP 2019
• Demonstrations chair, ACL 2018
• Area chair, EMNLP 2018
• Co-organizer, EMNLP Workshop on New Frontiers in Summarization, biennially 2017--2023
• NSF/IIS Panel and Ad-hoc Reviewer, 2016, 2019--2023

Sponsors