| Bloom: A 176b-parameter open-access multilingual language model BS Workshop, TL Scao, A Fan, C Akiki, E Pavlick, S Ilić, D Hesslow, ... arXiv preprint arXiv:2211.05100, 2022 | 1695* | 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, ... arXiv preprint arXiv:2206.04615, 2022 | 1194 | 2022 |
| 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, ... arXiv preprint arXiv:1809.08887, 2018 | 1184 | 2018 |
| Graph-based neural multi-document summarization M Yasunaga, R Zhang, K Meelu, A Pareek, K Srinivasan, D Radev arXiv preprint arXiv:1706.06681, 2017 | 334 | 2017 |
| Improving text-to-sql evaluation methodology C Finegan-Dollak, JK Kummerfeld, L Zhang, K Ramanathan, ... arXiv preprint arXiv:1806.09029, 2018 | 312 | 2018 |
| Typesql: Knowledge-based type-aware neural text-to-sql generation T Yu, Z Li, Z Zhang, R Zhang, D Radev arXiv preprint arXiv:1804.09769, 2018 | 306 | 2018 |
| 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, ... arXiv preprint arXiv:2201.05966, 2022 | 304* | 2022 |
| Syntaxsqlnet: Syntax tree networks for complex and cross-domaintext-to-sql task T Yu, M Yasunaga, K Yang, R Zhang, D Wang, Z Li, D Radev arXiv preprint arXiv:1810.05237, 2018 | 238 | 2018 |
| Scisummnet: A large annotated corpus and content-impact models for scientific paper summarization with citation networks M Yasunaga, J Kasai, R Zhang, AR Fabbri, I Li, D Friedman, DR Radev Proceedings of the AAAI conference on artificial intelligence 33 (01), 7386-7393, 2019 | 236 | 2019 |
| Selective annotation makes language models better few-shot learners H Su, J Kasai, CH Wu, W Shi, T Wang, J Xin, R Zhang, M Ostendorf, ... arXiv preprint arXiv:2209.01975, 2022 | 212* | 2022 |
| 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, ... arXiv preprint arXiv:1906.02285, 2019 | 211* | 2019 |
| 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, ... arXiv preprint arXiv:2007.02871, 2020 | 192 | 2020 |
| CONTaiNER: Few-shot named entity recognition via contrastive learning SSS Das, A Katiyar, RJ Passonneau, R Zhang arXiv preprint arXiv:2109.07589, 2021 | 175 | 2021 |
| 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, ... arXiv preprint arXiv:1909.00786, 2019 | 165* | 2019 |
| Dependency sensitive convolutional neural networks for modeling sentences and documents R Zhang, H Lee, D Radev arXiv preprint arXiv:1611.02361, 2016 | 161 | 2016 |
| Folio: Natural language reasoning with first-order logic S Han, H Schoelkopf, Y Zhao, Z Qi, M Riddell, W Zhou, J Coady, D Peng, ... arXiv preprint arXiv:2209.00840, 2022 | 126* | 2022 |
| FeTaQA: Free-form table question answering L Nan, C Hsieh, Z Mao, XV Lin, N Verma, R Zhang, W Kryściński, ... Transactions of the Association for Computational Linguistics 10, 35-49, 2022 | 103* | 2022 |
| Large Language Models for Mathematical Reasoning: Progresses and Challenges J Ahn, R Verma, R Lou, D Liu, R Zhang, W Yin arXiv preprint arXiv:2402.00157, 2024 | 100 | 2024 |
| Summ^ n: 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, ... arXiv preprint arXiv:2110.10150, 2021 | 99 | 2021 |
| Turingbench: A benchmark environment for turing test in the age of neural text generation A Uchendu, Z Ma, T Le, R Zhang, D Lee arXiv preprint arXiv:2109.13296, 2021 | 97 | 2021 |
Dragomir RadevProfessor, Computer Science, Yale UniversityVerified email at yale.edu
