Fei Liu

According to our database, Fei Liu authored at least 80 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Systematic Analysis of LLM Contributions to Planning: Solver, Verifier, Heuristic.

Haoming Li, Zhaoliang Chen, Songyuan Liu, Yiming Lu, Fei Liu

CoRR, 2024

STRUX: An LLM for Decision-Making with Structured Explanations.

Yiming Lu, Yebowen Hu, Hassan Foroosh, Wei Jin, Fei Liu

CoRR, 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, Fei Liu

CoRR, 2024

LASP: Surveying the State-of-the-Art in Large Language Model-Assisted AI Planning.

Haoming Li, Zhaoliang Chen, Jonathan Zhang, Fei Liu

CoRR, 2024

LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing.

Jiangshu Du, Yibo Wang, Wenting Zhao, Zhongfen Deng, Shuaiqi Liu, Renze Lou, Henry Peng Zou, Pranav Narayanan Venkit, Nan Zhang, Mukund Srinath, Haoran Ranran Zhang, Vipul Gupta, Yinghui Li, Tao Li, Fei Wang, Qin Liu, Tianlin Liu, Pengzhi Gao, Congying Xia, Chen Xing, Jiayang Cheng, Zhaowei Wang, Ying Su, Raj Sanjay Shah, Ruohao Guo, Jing Gu, Haoran Li, Kangda Wei, Zihao Wang, Lu Cheng, Surangika Ranathunga, Meng Fang, Jie Fu, Fei Liu, Ruihong Huang, Eduardo Blanco, Yixin Cao, Rui Zhang, Philip S. Yu, Wenpeng Yin

CoRR, 2024

BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models.

Jiaqi Xue, Mengxin Zheng, Yebowen Hu, Fei Liu, Xun Chen, Qian Lou

CoRR, 2024

Can Large Language Models do Analytical Reasoning?

Yebowen Hu, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Hassan Foroosh, Dong Yu, Fei Liu

CoRR, 2024

Identifying Factual Inconsistency in Summaries: Towards Effective Utilization of Large Language Model.

Liyan Xu, Zhenlin Su, Mo Yu, Jin Xu, Jinho D. Choi, Jie Zhou, Fei Liu

CoRR, 2024

Identifying Factual Inconsistencies in Summaries: Grounding LLM Inference via Task Taxonomy.

Liyan Xu, Zhenlin Su, Mo Yu, Jin Xu, Jinho D. Choi, Jie Zhou, Fei Liu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 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

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing.

Jiangshu Du, Yibo Wang, Wenting Zhao, Zhongfen Deng, Shuaiqi Liu, Renze Lou, Henry Peng Zou, Pranav Narayanan Venkit, Nan Zhang, Mukund Srinath, Haoran Zhang, Vipul Gupta, Yinghui Li, Tao Li, Fei Wang, Qin Liu, Tianlin Liu, Pengzhi Gao, Congying Xia, Chen Xing, Cheng Jiayang, Zhaowei Wang, Ying Su, Raj Sanjay Shah, Ruohao Guo, Jing Gu, Haoran Li, Kangda Wei, Zihao Wang, Lu Cheng, Surangika Ranathunga, Meng Fang, Jie Fu, Fei Liu, Ruihong Huang, Eduardo Blanco, Yixin Cao, Rui Zhang, Philip S. Yu, Wenpeng Yin

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Rescue: Ranking LLM Responses with Partial Ordering to Improve Response Generation.

Yikun Wang, Rui Zheng, Haoming Li, Qi Zhang, Tao Gui, Fei Liu

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, 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, Dong Yu

Proceedings of the Findings of the Association for Computational Linguistics, 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, Fei Liu

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

PaniniQA: Enhancing Patient Education Through Interactive Question Answering.

Pengshan Cai, Zonghai Yao, Fei Liu, Dakuo Wang, Meghan Reilly, Huixue Zhou, Lingxi Li, Yi Cao, Alok Kapoor, Adarsha Bajracharya, Dan Berlowitz, Hong Yu

Trans. Assoc. Comput. Linguistics, 2023

RRescue: Ranking LLM Responses to Enhance Reasoning Over Context.

Yikun Wang, Rui Zheng, Haoming Li, Qi Zhang, Tao Gui, Fei Liu

CoRR, 2023

Analyzing Influential Factors in Human Preference Judgments via GPT-4.

Yebowen Hu, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Hassan Foroosh, Fei Liu

CoRR, 2023

DecipherPref: Analyzing Influential Factors in Human Preference Judgments via GPT-4.

Yebowen Hu, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Hassan Foroosh, Fei Liu

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

MeetingBank: A Benchmark Dataset for Meeting Summarization.

Yebowen Hu, Timothy Ganter, Hanieh Deilamsalehy, Franck Dernoncourt, Hassan Foroosh, Fei Liu

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Generating User-Engaging News Headlines.

Pengshan Cai, Kaiqiang Song, Sangwoo Cho, Hongwei Wang, Xiaoyang Wang, Hong Yu, Fei Liu, Dong Yu

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Learning as Conversation: Dialogue Systems Reinforced for Information Acquisition.

Pengshan Cai, Hui Wan, Fei Liu, Mo Yu, Hong Yu, Sachindra Joshi

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Toward Unifying Text Segmentation and Long Document Summarization.

Sangwoo Cho, Kaiqiang Song, Xiaoyang Wang, Fei Liu, Dong Yu

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Generation of Patient After-Visit Summaries to Support Physicians.

Pengshan Cai, Fei Liu, Adarsha Bajracharya, Joe Sills, Alok Kapoor, Weisong Liu, Dan Berlowitz, David A. Levy, Richeek Pradhan, Hong Yu

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Towards Abstractive Grounded Summarization of Podcast Transcripts.

Kaiqiang Song, Chen Li, Xiaoyang Wang, Dong Yu, Fei Liu

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Modeling Endorsement for Multi-Document Abstractive Summarization.

Logan Lebanoff, Bingqing Wang, Zhe Feng, Fei Liu

CoRR, 2021

A New Approach to Overgenerating and Scoring Abstractive Summaries.

Kaiqiang Song, Bingqing Wang, Zhe Feng, Fei Liu

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

A Sliding-Window Approach to Automatic Creation of Meeting Minutes.

Jia Jin Koay, Alexander Roustai, Xiaojin Dai, Fei Liu

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Student Research Workshop, 2021

CATE: Computation-aware Neural Architecture Encoding with Transformers.

Shen Yan, Kaiqiang Song, Fei Liu, Mi Zhang

Proceedings of the 38th International Conference on Machine Learning, 2021

StreamHover: Livestream Transcript Summarization and Annotation.

Sangwoo Cho, Franck Dernoncourt, Tim Ganter, Trung Bui, Nedim Lipka, Walter Chang, Hailin Jin, Jonathan Brandt, Hassan Foroosh, Fei Liu

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Self-Attention Network for Skeleton-based Human Action Recognition.

Sangwoo Cho, Muhammad Hasan Maqbool, Fei Liu, Hassan Foroosh

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Automatic Summarization of Open-Domain Podcast Episodes.

Kaiqiang Song, Fei Liu, Chen Li, Xiaoyang Wang, Dong Yu

Proceedings of the Twenty-Ninth Text REtrieval Conference, 2020

A Cascade Approach to Neural Abstractive Summarization with Content Selection and Fusion.

Logan Lebanoff, Franck Dernoncourt, Doo Soon Kim, Walter Chang, Fei Liu

Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020

Learning to Fuse Sentences with Transformers for Summarization.

Logan Lebanoff, Franck Dernoncourt, Doo Soon Kim, Lidan Wang, Walter Chang, Fei Liu

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Better Highlighting: Creating Sub-Sentence Summary Highlights.

Sangwoo Cho, Kaiqiang Song, Chen Li, Dong Yu, Hassan Foroosh, Fei Liu

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Understanding Points of Correspondence between Sentences for Abstractive Summarization.

Logan Lebanoff, John Muchovej, Franck Dernoncourt, Doo Soon Kim, Lidan Wang, Walter Chang, Fei Liu

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, 2020

Controlling the Amount of Verbatim Copying in Abstractive Summarization.

Kaiqiang Song, Bingqing Wang, Zhe Feng, Ren Liu, Fei Liu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Joint Parsing and Generation for Abstractive Summarization.

Kaiqiang Song, Logan Lebanoff, Qipeng Guo, Xipeng Qiu, Xiangyang Xue, Chen Li, Dong Yu, Fei Liu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Analyzing Privacy Policies at Scale: From Crowdsourcing to Automated Annotations.

Shomir Wilson, Florian Schaub, Frederick Liu, Kanthashree Mysore Sathyendra, Daniel Smullen, Sebastian Zimmeck, Rohan Ramanath, Peter Story, Fei Liu, Norman M. Sadeh, Noah A. Smith

ACM Trans. Web, 2019

Multi-Document Summarization with Determinantal Point Processes and Contextualized Representations.

Sangwoo Cho, Chen Li, Dong Yu, Hassan Foroosh, Fei Liu

CoRR, 2019

Towards Annotating and Creating Sub-Sentence Summary Highlights.

Kristjan Arumae, Parminder Bhatia, Fei Liu

CoRR, 2019

Analyzing Sentence Fusion in Abstractive Summarization.

Logan Lebanoff, John Muchovej, Franck Dernoncourt, Doo Soon Kim, Seokhwan Kim, Walter Chang, Fei Liu

CoRR, 2019

Guiding Extractive Summarization with Question-Answering Rewards.

Kristjan Arumae, Fei Liu

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance.

Wei Zhao, Maxime Peyrard, Fei Liu, Yang Gao, Christian M. Meyer, Steffen Eger

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Scoring Sentence Singletons and Pairs for Abstractive Summarization.

Logan Lebanoff, Kaiqiang Song, Franck Dernoncourt, Doo Soon Kim, Seokhwan Kim, Walter Chang, Fei Liu

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Improving the Similarity Measure of Determinantal Point Processes for Extractive Multi-Document Summarization.

Sangwoo Cho, Logan Lebanoff, Hassan Foroosh, Fei Liu

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

A novel ILP framework for summarizing content with high lexical variety.

Wencan Luo, Fei Liu, Zitao Liu, Diane J. Litman

Nat. Lang. Eng., 2018

Adapting the Neural Encoder-Decoder Framework from Single to Multi-Document Summarization.

Logan Lebanoff, Kaiqiang Song, Fei Liu

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Automatic Detection of Vague Words and Sentences in Privacy Policies.

Logan Lebanoff, Fei Liu

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Structure-Infused Copy Mechanisms for Abstractive Summarization.

Kaiqiang Song, Lin Zhao, Fei Liu

Proceedings of the 27th International Conference on Computational Linguistics, 2018

Abstract Meaning Representation for Multi-Document Summarization.

Kexin Liao, Logan Lebanoff, Fei Liu

Proceedings of the 27th International Conference on Computational Linguistics, 2018

Reinforced Extractive Summarization with Question-Focused Rewards.

Kristjan Arumae, Fei Liu

Proceedings of ACL 2018, Melbourne, Australia, July 15-20, 2018, Student Research Workshop, 2018

2017

Reports on the 2016 AAAI Fall Symposium Series.

Patrícia Alves-Oliveira, Richard G. Freedman, Dan Grollman, Laura Herlant, Laura R. Humphrey, Fei Liu, Ross Mead, Frank Stein, Tom Williams, Shomir Wilson

AI Mag., 2017

Toward Extractive Summarization of Online Forum Discussions via Hierarchical Attention Networks.

Sansiri Tarnpradab, Fei Liu, Kien A. Hua

Proceedings of the Thirtieth International Florida Artificial Intelligence Research Society Conference, 2017

A Study of Question Effectiveness Using Reddit "Ask Me Anything" Threads.

Kristjan Arumae, Guo-Jun Qi, Fei Liu

Proceedings of the Thirtieth International Florida Artificial Intelligence Research Society Conference, 2017

Dependency and AMR Embeddings for Drug-Drug Interaction Extraction from Biomedical Literature.

Yanshan Wang, Sijia Liu, Majid Rastegar-Mojarad, Liwei Wang, Feichen Shen, Fei Liu, Hongfang Liu

Proceedings of the 8th ACM International Conference on Bioinformatics, 2017

2016

Crowdsourcing Annotations for Websites' Privacy Policies: Can It Really Work?

Shomir Wilson, Florian Schaub, Rohan Ramanath, Norman M. Sadeh, Fei Liu, Noah A. Smith, Frederick Liu

Proceedings of the 25th International Conference on World Wide Web, 2016

Automatic Summarization of Student Course Feedback.

Wencan Luo, Fei Liu, Zitao Liu, Diane J. Litman

Proceedings of the NAACL HLT 2016, 2016

An Improved Phrase-based Approach to Annotating and Summarizing Student Course Responses.

Wencan Luo, Fei Liu, Diane J. Litman

Proceedings of the COLING 2016, 2016

Modeling Language Vagueness in Privacy Policies Using Deep Neural Networks.

Fei Liu, Nicole Lee Fella, Kexin Liao

Proceedings of the 2016 AAAI Fall Symposia, Arlington, Virginia, USA, November 17-19, 2016, 2016

2015

Toward Abstractive Summarization Using Semantic Representations.

Fei Liu, Jeffrey Flanigan, Sam Thomson, Norman M. Sadeh, Noah A. Smith

Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

Extractive Summarization by Maximizing Semantic Volume.

Dani Yogatama, Fei Liu, Noah A. Smith

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

2014

Identifying Relevant Text Fragments to Help Crowdsource Privacy Policy Annotations.

Rohan Ramanath, Florian Schaub, Shomir Wilson, Fei Liu, Norman M. Sadeh, Noah A. Smith

Proceedings of the Seconf AAAI Conference on Human Computation and Crowdsourcing, 2014

Improving Multi-documents Summarization by Sentence Compression based on Expanded Constituent Parse Trees.

Chen Li, Yang Liu, Fei Liu, Lin Zhao, Fuliang Weng

Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

A Step Towards Usable Privacy Policy: Automatic Alignment of Privacy Statements.

Fei Liu, Rohan Ramanath, Norman M. Sadeh, Noah A. Smith

Proceedings of the COLING 2014, 2014

Unsupervised Alignment of Privacy Policies using Hidden Markov Models.

Rohan Ramanath, Fei Liu, Norman M. Sadeh, Noah A. Smith

Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013

Towards Abstractive Speech Summarization: Exploring Unsupervised and Supervised Approaches for Spoken Utterance Compression.

Fei Liu, Yang Liu

IEEE Trans. Speech Audio Process., 2013

A Participant-based Approach for Event Summarization Using Twitter Streams.

Chao Shen, Fei Liu, Fuliang Weng, Tao Li

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2013

Document Summarization via Guided Sentence Compression.

Chen Li, Fei Liu, Fuliang Weng, Yang Liu

Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

2012

A Broad-Coverage Normalization System for Social Media Language.

Fei Liu, Fuliang Weng, Xiao Jiang

Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea, 2012

2011

A Supervised Framework for Keyword Extraction From Meeting Transcripts.

Fei Liu, Feifan Liu, Yang Liu

IEEE Trans. Speech Audio Process., 2011

Learning from Chinese-English Parallel Data for Chinese Tense Prediction.

Feifan Liu, Fei Liu, Yang Liu

Proceedings of the Fifth International Joint Conference on Natural Language Processing, 2011

Insertion, Deletion, or Substitution? Normalizing Text Messages without Pre-categorization nor Supervision.

Fei Liu, Fuliang Weng, Bingqing Wang, Yang Liu

Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference, 19-24 June, 2011, Portland, Oregon, USA, 2011

2010

Using spoken utterance compression for meeting summarization: A pilot study.

Fei Liu, Yang Liu

Proceedings of the 2010 IEEE Spoken Language Technology Workshop, 2010

Exploring speaker characteristics for meeting summarization.

Fei Liu, Yang Liu

Proceedings of the 11th Annual Conference of the International Speech Communication Association, 2010

Using n-best recognition output for extractive summarization and keyword extraction in meeting speech.

Yang Liu, Shasha Xie, Fei Liu

Proceedings of the IEEE International Conference on Acoustics, 2010

2009

Unsupervised Approaches for Automatic Keyword Extraction Using Meeting Transcripts.

Feifan Liu, Deana Pennell, Fei Liu, Yang Liu

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings, May 31, 2009

From Extractive to Abstractive Meeting Summaries: Can It Be Done by Sentence Compression?

Fei Liu, Yang Liu

Proceedings of the ACL 2009, 2009

2008

Automatic keyword extraction for the meeting corpus using supervised approach and bigram expansion.

Fei Liu, Feifan Liu, Yang Liu

Proceedings of the 2008 IEEE Spoken Language Technology Workshop, 2008

What Are Meeting Summaries? An Analysis of Human Extractive Summaries in Meeting Corpus.

Fei Liu, Yang Liu

Proceedings of the SIGDIAL 2008 Workshop, 2008

Using Multiple Combined Ranker for Answering Definitional Questions.

Junkuo Cao, Lide Wu, Xuanjing Huang, Yaqian Zhou, Fei Liu

Proceedings of the Information Retrieval Technology, 2008