Using Multiple Combined Ranker for Answering Definitional Questions. - Junkuo Cao; Lide Wu; Xuanjing Huang 001; Yaqian Zhou 001; Fei Liu 004 (AIRS, 2008)

What Are Meeting Summaries? An Analysis of Human Extractive Summaries in Meeting Corpus. - Fei Liu 004; Yang Liu 004 (SIGDIAL Workshop, 2008)

Automatic keyword extraction for the meeting corpus using supervised approach and bigram expansion. - Fei Liu 004; Feifan Liu; Yang Liu 004 (SLT, 2008)

From Extractive to Abstractive Meeting Summaries: Can It Be Done by Sentence Compression? - Fei Liu 004; Yang Liu 004 (ACL/IJCNLP (2), 2009)

Unsupervised Approaches for Automatic Keyword Extraction Using Meeting Transcripts. - Feifan Liu; Deana Pennell; Fei Liu 004; Yang Liu 004 (HLT-NAACL, 2009)

Using n-best recognition output for extractive summarization and keyword extraction in meeting speech. - Yang Liu 004; Shasha Xie; Fei Liu 004 (ICASSP, 2010)

Exploring speaker characteristics for meeting summarization. - Fei Liu 004; Yang Liu 004 (INTERSPEECH, 2010)

Using spoken utterance compression for meeting summarization: A pilot study. - Fei Liu 004; Yang Liu 004 (SLT, 2010)

Insertion, Deletion, or Substitution? Normalizing Text Messages without Pre-categorization nor Supervision. - Fei Liu 004; Fuliang Weng; Bingqing Wang; Yang Liu 004 (ACL (2), 2011)

Learning from Chinese-English Parallel Data for Chinese Tense Prediction. - Feifan Liu; Fei Liu 004; Yang Liu 004 (IJCNLP, 2011)

A Supervised Framework for Keyword Extraction From Meeting Transcripts. - Fei Liu 004; Feifan Liu; Yang Liu 004 (IEEE Trans. Speech Audio Process., 2011)

A Broad-Coverage Normalization System for Social Media Language. - Fei Liu 004; Fuliang Weng; Xiao Jiang (ACL (1), 2012)

Document Summarization via Guided Sentence Compression. - Chen Li 013; Fei Liu 004; Fuliang Weng; Yang Liu 004 (EMNLP, 2013)

A Participant-based Approach for Event Summarization Using Twitter Streams. - Chao Shen 005; Fei Liu 004; Fuliang Weng; Tao Li 001 (HLT-NAACL, 2013)

Towards Abstractive Speech Summarization: Exploring Unsupervised and Supervised Approaches for Spoken Utterance Compression. - Fei Liu 004; Yang Liu 004 (IEEE Trans. Speech Audio Process., 2013)

Unsupervised Alignment of Privacy Policies using Hidden Markov Models. - Rohan Ramanath; Fei Liu 004; Norman M. Sadeh; Noah A. Smith (ACL (2), 2014)

A Step Towards Usable Privacy Policy: Automatic Alignment of Privacy Statements. - Fei Liu 004; Rohan Ramanath; Norman M. Sadeh; Noah A. Smith (COLING, 2014)

Improving Multi-documents Summarization by Sentence Compression based on Expanded Constituent Parse Trees. - Chen Li 013; Yang Liu 004; Fei Liu 004; Lin Zhao; Fuliang Weng (EMNLP, 2014)

Identifying Relevant Text Fragments to Help Crowdsource Privacy Policy Annotations. - Rohan Ramanath; Florian Schaub; Shomir Wilson; Fei Liu 004; Norman M. Sadeh; Noah A. Smith (HCOMP, 2014)

Extractive Summarization by Maximizing Semantic Volume. - Dani Yogatama; Fei Liu 004; Noah A. Smith (EMNLP, 2015)

Toward Abstractive Summarization Using Semantic Representations. - Fei Liu 004; Jeffrey Flanigan; Sam Thomson; Norman M. Sadeh; Noah A. Smith (HLT-NAACL, 2015)

Modeling Language Vagueness in Privacy Policies Using Deep Neural Networks. - Fei Liu 004; Nicole Lee Fella; Kexin Liao (AAAI Fall Symposia, 2016)

An Improved Phrase-based Approach to Annotating and Summarizing Student Course Responses. - Wencan Luo; Fei Liu 004; Diane J. Litman (COLING, 2016)

Automatic Summarization of Student Course Feedback. - Wencan Luo; Fei Liu 004; Zitao Liu 003; Diane J. Litman (HLT-NAACL, 2016)

Crowdsourcing Annotations for Websites' Privacy Policies: Can It Really Work? - Shomir Wilson; Florian Schaub; Rohan Ramanath; Norman M. Sadeh; Fei Liu 004; Noah A. Smith; Frederick Liu (WWW, 2016)

Dependency and AMR Embeddings for Drug-Drug Interaction Extraction from Biomedical Literature. - Yanshan Wang; Sijia Liu 002; Majid Rastegar-Mojarad; Liwei Wang 010; Feichen Shen; Fei Liu 004; Hongfang Liu (BCB, 2017)

A Study of Question Effectiveness Using Reddit "Ask Me Anything" Threads. - Kristjan Arumae; Guo-Jun Qi; Fei Liu 004 (FLAIRS, 2017)

Toward Extractive Summarization of Online Forum Discussions via Hierarchical Attention Networks. - Sansiri Tarnpradab; Fei Liu 004; Kien A. Hua (FLAIRS, 2017)

Reports on the 2016 AAAI Fall Symposium Series. - Patrícia Alves-Oliveira; Richard G. Freedman; Dan Grollman; Laura Herlant; Laura R. Humphrey; Fei Liu 004; Ross Mead; Frank Stein; Tom Williams 001; Shomir Wilson (AI Mag., 2017)

Reinforced Extractive Summarization with Question-Focused Rewards. - Kristjan Arumae; Fei Liu 004 (ACL (3), 2018)

Abstract Meaning Representation for Multi-Document Summarization. - Kexin Liao; Logan Lebanoff; Fei Liu 004 (COLING, 2018)

Structure-Infused Copy Mechanisms for Abstractive Summarization. - Kaiqiang Song; Lin Zhao; Fei Liu 004 (COLING, 2018)

Automatic Detection of Vague Words and Sentences in Privacy Policies. - Logan Lebanoff; Fei Liu 004 (EMNLP, 2018)

Adapting the Neural Encoder-Decoder Framework from Single to Multi-Document Summarization. - Logan Lebanoff; Kaiqiang Song; Fei Liu 004 (EMNLP, 2018)

A novel ILP framework for summarizing content with high lexical variety. - Wencan Luo; Fei Liu 004; Zitao Liu 003; Diane J. Litman (Nat. Lang. Eng., 2018)

Improving the Similarity Measure of Determinantal Point Processes for Extractive Multi-Document Summarization. - Sangwoo Cho; Logan Lebanoff; Hassan Foroosh; Fei Liu 004 (ACL (1), 2019)

Scoring Sentence Singletons and Pairs for Abstractive Summarization. - Logan Lebanoff; Kaiqiang Song; Franck Dernoncourt; Doo Soon Kim; Seokhwan Kim; Walter Chang; Fei Liu 004 (ACL (1), 2019)

MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance. - Wei Zhao 033; Maxime Peyrard; Fei Liu 004; Yang Gao 021; Christian M. Meyer; Steffen Eger (EMNLP/IJCNLP (1), 2019)

Guiding Extractive Summarization with Question-Answering Rewards. - Kristjan Arumae; Fei Liu 004 (NAACL-HLT (1), 2019)

Analyzing Sentence Fusion in Abstractive Summarization. - Logan Lebanoff; John Muchovej; Franck Dernoncourt; Doo Soon Kim; Seokhwan Kim; Walter Chang; Fei Liu 004 (CoRR, 2019)

Towards Annotating and Creating Sub-Sentence Summary Highlights. - Kristjan Arumae; Parminder Bhatia; Fei Liu 004 (CoRR, 2019)

Multi-Document Summarization with Determinantal Point Processes and Contextualized Representations. - Sangwoo Cho; Chen Li 003; Dong Yu 001; Hassan Foroosh; Fei Liu 004 (CoRR, 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 004; Norman M. Sadeh; Noah A. Smith (ACM Trans. Web, 2019)

Joint Parsing and Generation for Abstractive Summarization. - Kaiqiang Song; Logan Lebanoff; Qipeng Guo; Xipeng Qiu; Xiangyang Xue 001; Chen Li 003; Dong Yu 001; Fei Liu 004 (AAAI, 2020)

Controlling the Amount of Verbatim Copying in Abstractive Summarization. - Kaiqiang Song; Bingqing Wang; Zhe Feng 003; Ren Liu; Fei Liu 004 (AAAI, 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 004 (ACL (student), 2020)

Better Highlighting: Creating Sub-Sentence Summary Highlights. - Sangwoo Cho; Kaiqiang Song; Chen Li 003; Dong Yu 001; Hassan Foroosh; Fei Liu 004 (EMNLP (1), 2020)

Learning to Fuse Sentences with Transformers for Summarization. - Logan Lebanoff; Franck Dernoncourt; Doo Soon Kim; Lidan Wang; Walter Chang; Fei Liu 004 (EMNLP (1), 2020)

A Cascade Approach to Neural Abstractive Summarization with Content Selection and Fusion. - Logan Lebanoff; Franck Dernoncourt; Doo Soon Kim; Walter Chang; Fei Liu 004 (AACL/IJCNLP, 2020)

Automatic Summarization of Open-Domain Podcast Episodes. - Kaiqiang Song; Fei Liu 004; Chen Li 003; Xiaoyang Wang; Dong Yu 001 (TREC, 2020)

Self-Attention Network for Skeleton-based Human Action Recognition. - Sangwoo Cho; Muhammad Hasan Maqbool; Fei Liu 004; Hassan Foroosh (WACV, 2020)

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 004 (EMNLP (1), 2021)

CATE: Computation-aware Neural Architecture Encoding with Transformers. - Shen Yan; Kaiqiang Song; Fei Liu 004; Mi Zhang 002 (ICML, 2021)

A Sliding-Window Approach to Automatic Creation of Meeting Minutes. - Jia Jin Koay; Alexander Roustai; Xiaojin Dai; Fei Liu 004 (NAACL-HLT (Student Research Workshop), 2021)

A New Approach to Overgenerating and Scoring Abstractive Summaries. - Kaiqiang Song; Bingqing Wang; Zhe Feng 003; Fei Liu 004 (NAACL-HLT, 2021)

Modeling Endorsement for Multi-Document Abstractive Summarization. - Logan Lebanoff; Bingqing Wang; Zhe Feng 003; Fei Liu 004 (CoRR, 2021)

Towards Abstractive Grounded Summarization of Podcast Transcripts. - Kaiqiang Song; Chen Li 003; Xiaoyang Wang; Dong Yu 001; Fei Liu 004 (ACL (1), 2022)

Generation of Patient After-Visit Summaries to Support Physicians. - Pengshan Cai; Fei Liu 004; Adarsha Bajracharya; Joe Sills; Alok Kapoor; Weisong Liu; Dan Berlowitz; David A. Levy; Richeek Pradhan; Hong Yu 001 (COLING, 2022)

Toward Unifying Text Segmentation and Long Document Summarization. - Sangwoo Cho; Kaiqiang Song; Xiaoyang Wang; Fei Liu 004; Dong Yu 001 (EMNLP, 2022)

Learning as Conversation: Dialogue Systems Reinforced for Information Acquisition. - Pengshan Cai; Hui Wan 001; Fei Liu 004; Mo Yu; Hong Yu 001; Sachindra Joshi (NAACL-HLT, 2022)

Generating User-Engaging News Headlines. - Pengshan Cai; Kaiqiang Song; Sangwoo Cho; Hongwei Wang 010; Xiaoyang Wang; Hong Yu 001; Fei Liu 004; Dong Yu 001 (ACL (1), 2023)

MeetingBank: A Benchmark Dataset for Meeting Summarization. - Yebowen Hu; Timothy Ganter; Hanieh Deilamsalehy; Franck Dernoncourt; Hassan Foroosh; Fei Liu 004 (ACL (1), 2023)

DecipherPref: Analyzing Influential Factors in Human Preference Judgments via GPT-4. - Yebowen Hu; Kaiqiang Song; Sangwoo Cho; Xiaoyang Wang; Hassan Foroosh; Fei Liu 004 (EMNLP, 2023)

Analyzing Influential Factors in Human Preference Judgments via GPT-4. - Yebowen Hu; Kaiqiang Song; Sangwoo Cho; Xiaoyang Wang; Hassan Foroosh; Fei Liu 004 (CoRR, 2023)

RRescue: Ranking LLM Responses to Enhance Reasoning Over Context. - Yikun Wang; Rui Zheng; Haoming Li 019; Qi Zhang 001; Tao Gui; Fei Liu 004 (CoRR, 2023)

PaniniQA: Enhancing Patient Education Through Interactive Question Answering. - Pengshan Cai; Zonghai Yao; Fei Liu 004; Dakuo Wang; Meghan Reilly; Huixue Zhou; Lingxi Li; Yi Cao; Alok Kapoor; Adarsha Bajracharya; Dan Berlowitz; Hong Yu 001 (Trans. Assoc. Comput. Linguistics, 2023)

SportsMetrics: Blending Text and Numerical Data to Understand Information Fusion in LLMs. - Yebowen Hu; Kaiqiang Song; Sangwoo Cho; Xiaoyang Wang; Hassan Foroosh; Dong Yu 001; Fei Liu 004 (ACL (1), 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 004; Pengfei Liu 003; Dong Yu 001 (ACL (Findings), 2024)

Rescue: Ranking LLM Responses with Partial Ordering to Improve Response Generation. - Yikun Wang; Rui Zheng; Haoming Li 019; Qi Zhang 001; Tao Gui; Fei Liu 004 (ACL (Student Research Workshop), 2024)

LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing. - Jiangshu Du; Yibo Wang 001; Wenting Zhao 006; Zhongfen Deng; Shuaiqi Liu 002; Renze Lou; Henry Peng Zou; Pranav Narayanan Venkit; Nan Zhang; Mukund Srinath; Haoran Zhang 004; Vipul Gupta; et al. (EMNLP, 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 001; Fei Liu 004 (EMNLP, 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 016; Fei Liu 004 (EMNLP (Findings), 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 016; Fei Liu 004 (CoRR, 2024)

Can Large Language Models do Analytical Reasoning? - Yebowen Hu; Kaiqiang Song; Sangwoo Cho; Xiaoyang Wang; Hassan Foroosh; Dong Yu 001; Fei Liu 004 (CoRR, 2024)

BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models. - Jiaqi Xue; Mengxin Zheng; Yebowen Hu; Fei Liu 004; Xun Chen; Qian Lou (CoRR, 2024)

LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing. - Jiangshu Du; Yibo Wang 001; Wenting Zhao 006; Zhongfen Deng; Shuaiqi Liu 002; Renze Lou; Henry Peng Zou; Pranav Narayanan Venkit; Nan Zhang; Mukund Srinath; Haoran Ranran Zhang; Vipul Gupta; et al. (CoRR, 2024)

LASP: Surveying the State-of-the-Art in Large Language Model-Assisted AI Planning. - Haoming Li 019; Zhaoliang Chen; Jonathan Zhang; Fei Liu 004 (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 001; Fei Liu 004 (CoRR, 2024)

Systematic Analysis of LLM Contributions to Planning: Solver, Verifier, Heuristic. - Haoming Li 019; Zhaoliang Chen; Songyuan Liu; Yiming Lu; Fei Liu 004 (CoRR, 2024)

DeFine: Decision-Making with Analogical Reasoning over Factor Profiles. - Yebowen Hu; Xiaoyang Wang; Wenlin Yao; Yiming Lu; Daoan Zhang; Hassan Foroosh; Dong Yu 001; Fei Liu 004 (ACL (Findings), 2025)

STRUX: An LLM for Decision-Making with Structured Explanations. - Yiming Lu; Yebowen Hu; Hassan Foroosh; Wei Jin; Fei Liu 004 (NAACL (Short Papers), 2025)

PLANET: A Collection of Benchmarks for Evaluating LLMs' Planning Capabilities. - Haoming Li 019; Zhaoliang Chen; Jonathan Zhang; Fei Liu 004 (CoRR, 2025)