| Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task T Yu, R Zhang, K Yang, M Yasunaga, D Wang, Z Li, J Ma, I Li, Q Yao, ... EMNLP 2018, 2018 | 565 | 2018 |
| Graph-based Neural Multi-Document Summarization M Yasunaga, R Zhang, K Meelu, A Pareek, K Srinivasan, D Radev CoNLL 2017, 2017 | 261 | 2017 |
| TypeSQL: Knowledge-based Type-Aware Neural Text-to-SQL Generation T Yu, Z Li, Z Zhang, R Zhang, D Radev NAACL 2018, 2018 | 225 | 2018 |
| Improving Text-to-SQL Evaluation Methodology C Finegan-Dollak, JK Kummerfeld, L Zhang, KRD Ramanathan, ... ACL 2018, 2018 | 224 | 2018 |
| BLOOM: A 176B-Parameter Open-Access Multilingual Language Model TL Scao, A Fan, C Akiki, E Pavlick, S Ilić, D Hesslow, R Castagné, ... arXiv preprint arXiv:2211.05100, 2022 | 204 | 2022 |
| Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ... TMLR 2023, 2022 | 180 | 2022 |
| SyntaxSQLNet: Syntax Tree Networks for Complex and Cross Domain Text-to-SQL Task T Yu, M Yasunaga, K Yang, R Zhang, D Wang, Z Li, D Radev EMNLP 2018, 2018 | 165 | 2018 |
| ScisummNet: A Large Annotated Corpus and Content-Impact Models for Scientific Paper Summarization with Citation Networks M Yasunaga, J Kasai, R Zhang, A Fabbri, I Li, D Friedman, D Radev AAAI 2019, 2019 | 160 | 2019 |
| Dependency Sensitive Convolutional Neural Networks for Modeling Sentences and Documents R Zhang, H Lee, D Radev NAACL 2016, 2016 | 147 | 2016 |
| Editing-Based SQL Query Generation for Cross-Domain Context-Dependent Questions R Zhang, T Yu, HY Er, S Shim, E Xue, XV Lin, T Shi, C Xiong, R Socher, ... EMNLP 2019, 2019 | 116* | 2019 |
| SParC: Cross-Domain Semantic Parsing in Context T Yu, R Zhang, M Yasunaga, YC Tan, XV Lin, S Li, H Er, I Li, B Pang, ... ACL 2019, 2019 | 115* | 2019 |
| UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models T Xie, CH Wu, P Shi, R Zhong, T Scholak, M Yasunaga, CS Wu, M Zhong, ... EMNLP 2022, 2022 | 111* | 2022 |
| DART: Open-Domain Structured Data Record to Text Generation L Nan, D Radev, R Zhang, A Rau, A Sivaprasad, C Hsieh, X Tang, A Vyas, ... NAACL 2021, 2021 | 96* | 2021 |
| Neural Coreference Resolution with Deep Biaffine Attention by Joint Mention Detection and Mention Clustering R Zhang, CN dos Santos, M Yasunaga, B Xiang, D Radev ACL 2018, 2018 | 80 | 2018 |
| CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases T Yu, R Zhang, HY Er, S Li, E Xue, B Pang, XV Lin, YC Tan, T Shi, Z Li, ... EMNLP 2019, 2019 | 62 | 2019 |
| This Email Could Save Your Life: Introducing the Task of Email Subject Line Generation R Zhang, J Tetreault ACL 2019, 2019 | 52 | 2019 |
| CONTaiNER: Few-Shot Named Entity Recognition via Contrastive Learning SSS Das, A Katiyar, RJ Passonneau, R Zhang ACL 2022, 2022 | 50 | 2022 |
| SCoRe: Pre-Training for Context Representation in Conversational Semantic Parsing T Yu, R Zhang, O Polozov, C Meek, AH Awadallah ICLR 2021, 2021 | 49 | 2021 |
| Addressee and Response Selection in Multi-Party Conversations with Speaker Interaction RNNs R Zhang, H Lee, L Polymenakos, D Radev AAAI 2018, 2018 | 47 | 2018 |
| Summ: A Multi-Stage Summarization Framework for Long Input Dialogues and Documents Y Zhang, A Ni, Z Mao, CH Wu, C Zhu, B Deb, AH Awadallah, D Radev, ... ACL 2022, 2022 | 35 | 2022 |
Dragomir RadevProfessor, Computer Science, Yale UniversityVerified email at yale.edu
