| Self-rag: Learning to retrieve, generate, and critique through self-reflection A Asai, Z Wu, Y Wang, A Sil, H Hajishirzi arXiv preprint arXiv:2310.11511, 2023 | 578* | 2023 |
| Cotype: Joint extraction of typed entities and relations with knowledge bases X Ren, Z Wu, W He, M Qu, CR Voss, H Ji, TF Abdelzaher, J Han Proceedings of the 26th international conference on world wide web, 1015-1024, 2017 | 364 | 2017 |
| Fine-grained human feedback gives better rewards for language model training Z Wu, Y Hu, W Shi, N Dziri, A Suhr, P Ammanabrolu, NA Smith, ... Advances in Neural Information Processing Systems 36, 59008-59033, 2023 | 263* | 2023 |
| SetExpan: Corpus-Based Set Expansion via Context Feature Selection and Rank Ensemble J Shen, Z Wu, D Lei, J Shang, X Ren, J Han ECML-PKDD 2017, 2017 | 114 | 2017 |
| A controllable model of grounded response generation Z Wu, M Galley, C Brockett, Y Zhang, X Gao, C Quirk, R Koncel-Kedziorski, ... The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21), 2021 | 90 | 2021 |
| Hiexpan: Task-guided taxonomy construction by hierarchical tree expansion J Shen, Z Wu, D Lei, C Zhang, X Ren, MT Vanni, BM Sadler, J Han Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 87 | 2018 |
| CONQRR: Conversational Query Rewriting for Retrieval with Reinforcement Learning Z Wu, Y Luan, H Rashkin, D Reitter, H Hajishirzi, M Ostendorf, GS Tomar Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 71 | 2022 |
| DIALKI: Knowledge Identification in Conversational Systems through Dialogue-Document Contextualization Z Wu, BR Lu, H Hajishirzi, M Ostendorf Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 37 | 2021 |
| Life-inet: A structured network-based knowledge exploration and analytics system for life sciences X Ren, J Shen, M Qu, X Wang, Z Wu, Q Zhu, M Jiang, F Tao, S Sinha, ... Proceedings of ACL 2017, System Demonstrations, 55-60, 2017 | 30 | 2017 |
| Unpacking DPO and PPO: Disentangling Best Practices for Learning from Preference Feedback H Ivison, Y Wang, J Liu, Z Wu, V Pyatkin, N Lambert, NA Smith, Y Choi, ... arXiv preprint arXiv:2406.09279, 2024 | 26 | 2024 |
| Controllable grounded text generation M Galley, CB Quirk, WB Dolan, WU Zeqiu US Patent 11,741,306, 2023 | 20 | 2023 |
| InSCIt: Information-Seeking Conversations with Mixed-Initiative Interactions Z Wu, R Parish, H Cheng, S Min, P Ammanabrolu, M Ostendorf, ... Transactions of the Association for Computational Linguistics 11, 453-468, 2023 | 18* | 2023 |
| Extracting summary knowledge graphs from long documents Z Wu, R Koncel-Kedziorski, M Ostendorf, H Hajishirzi arXiv preprint arXiv:2009.09162, 2020 | 18 | 2020 |
| Training language models to generate text with citations via fine-grained rewards C Huang, Z Wu, Y Hu, W Wang arXiv preprint arXiv:2402.04315, 2024 | 12 | 2024 |
| Does Collaborative Human–LM Dialogue Generation Help Information Extraction from Human–Human Dialogues? BR Lu, N Haduong, CH Lee, Z Wu, H Cheng, P Koester, J Utke, T Yu, ... First Conference on Language Modeling, 2024 | 9* | 2024 |
| Indirect Supervision for Relation Extraction using Question-Answer Pairs Z Wu, X Ren, FF Xu, J Li, J Han WSDM 2018, 2017 | 9 | 2017 |
| Automatic Document Sketching: Generating Drafts from Analogous Texts Z Wu, M Galley, C Brockett, Y Zhang, B Dolan Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 …, 2021 | 6 | 2021 |
| Automatic document sketching WB Dolan, WU Zeqiu, M Galley, Y Zhang, Z Li, CJ Brockett US Patent App. 17/146,133, 2022 | 3 | 2022 |
| Grounded text generation M Galley, CB Quirk, WB Dolan, WU Zeqiu US Patent 12,131,123, 2024 | | 2024 |
| Human-Centered Interactive Information Seeking Z Wu | | 2024 |
Hannaneh HajishirziUniversity of Washington; Allen AIAdresse e-mail validée de cs.washington.edu