Life-iNet: A Structured Network-Based Knowledge Exploration and Analytics System for Life Sciences. - Xiang Ren 001; Jiaming Shen; Meng Qu; Xuan Wang 008; Zeqiu Wu; Qi Zhu 008; Meng Jiang 001; Fangbo Tao; Saurabh Sinha; David Liem; Peipei Ping; Richard M. Weinshilboum; et al. (ACL (System Demonstrations), 2017)

SetExpan: Corpus-Based Set Expansion via Context Feature Selection and Rank Ensemble. - Jiaming Shen; Zeqiu Wu; Dongming Lei; Jingbo Shang; Xiang Ren 001; Jiawei Han 001 (ECML/PKDD (1), 2017)

CoType: Joint Extraction of Typed Entities and Relations with Knowledge Bases. - Xiang Ren 001; Zeqiu Wu; Wenqi He; Meng Qu; Clare R. Voss; Heng Ji 001; Tarek F. Abdelzaher; Jiawei Han 001 (WWW, 2017)

HiExpan: Task-Guided Taxonomy Construction by Hierarchical Tree Expansion. - Jiaming Shen; Zeqiu Wu; Dongming Lei; Chao Zhang 014; Xiang Ren 001; Michelle T. Vanni; Brian M. Sadler; Jiawei Han 001 (KDD, 2018)

Indirect Supervision for Relation Extraction using Question-Answer Pairs. - Zeqiu Wu; Xiang Ren 001; Frank F. Xu; Ji Li; Jiawei Han 001 (WSDM, 2018)

Extracting Summary Knowledge Graphs from Long Documents. - Zeqiu Wu; Rik Koncel-Kedziorski; Mari Ostendorf; Hannaneh Hajishirzi (CoRR, 2020)

A Controllable Model of Grounded Response Generation. - Zeqiu Wu; Michel Galley; Chris Brockett; Yizhe Zhang 002; Xiang Gao 011; Chris Quirk; Rik Koncel-Kedziorski; Jianfeng Gao 001; Hannaneh Hajishirzi; Mari Ostendorf; Bill Dolan (AAAI, 2021)

Automatic Document Sketching: Generating Drafts from Analogous Texts. - Zeqiu Wu; Michel Galley; Chris Brockett; Yizhe Zhang 002; Bill Dolan (ACL/IJCNLP (Findings), 2021)

DIALKI: Knowledge Identification in Conversational Systems through Dialogue-Document Contextualization. - Zeqiu Wu; Bo-Ru Lu; Hannaneh Hajishirzi; Mari Ostendorf (EMNLP (1), 2021)

CONQRR: Conversational Query Rewriting for Retrieval with Reinforcement Learning. - Zeqiu Wu; Yi Luan; Hannah Rashkin; David Reitter; Gaurav Singh Tomar (CoRR, 2021)

CONQRR: Conversational Query Rewriting for Retrieval with Reinforcement Learning. - Zeqiu Wu; Yi Luan; Hannah Rashkin; David Reitter; Hannaneh Hajishirzi; Mari Ostendorf; Gaurav Singh Tomar (EMNLP, 2022)

Fine-Grained Human Feedback Gives Better Rewards for Language Model Training. - Zeqiu Wu; Yushi Hu; Weijia Shi; Nouha Dziri; Alane Suhr; Prithviraj Ammanabrolu; Noah A. Smith; Mari Ostendorf; Hannaneh Hajishirzi (NeurIPS, 2023)

DIALGEN: Collaborative Human-LM Generated Dialogues for Improved Understanding of Human-Human Conversations. - Bo-Ru Lu; Nikita Haduong; Chia-Hsuan Lee 001; Zeqiu Wu; Hao Cheng 002; Paul Koester; Jean Utke; Tao Yu 009; Noah A. Smith; Mari Ostendorf (CoRR, 2023)

InSCIt: Information-Seeking Conversations with Mixed-Initiative Interactions. - Zeqiu Wu; Ryu Parish; Hao Cheng 002; Sewon Min; Prithviraj Ammanabrolu; Mari Ostendorf; Hannaneh Hajishirzi (Trans. Assoc. Comput. Linguistics, 2023)

Training Language Models to Generate Text with Citations via Fine-grained Rewards. - Chengyu Huang 003; Zeqiu Wu; Yushi Hu; Wenya Wang (ACL (1), 2024)

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection. - Akari Asai; Zeqiu Wu; Yizhong Wang; Avirup Sil; Hannaneh Hajishirzi (ICLR, 2024)

Unpacking DPO and PPO: Disentangling Best Practices for Learning from Preference Feedback. - Hamish Ivison; Yizhong Wang; Jiacheng Liu 010; Zeqiu Wu; Valentina Pyatkin; Nathan Lambert 001; Noah A. Smith; Yejin Choi 001; Hanna Hajishirzi (NeurIPS, 2024)