Explainaboard: An explainable leaderboard for nlp P Liu, J Fu, Y Xiao, W Yuan, S Chang, J Dai, Y Liu, Z Ye, ZY Dou, ... arXiv preprint arXiv:2104.06387, 2021 | 60 | 2021 |
Contextualized non-local neural networks for sequence learning P Liu, S Chang, X Huang, J Tang, JCK Cheung Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 6762-6769, 2019 | 51 | 2019 |
How to prompt llms for text-to-sql: A study in zero-shot, single-domain, and cross-domain settings S Chang, E Fosler-Lussier arXiv preprint arXiv:2305.11853, 2023 | 30 | 2023 |
Zero-shot Text-to-SQL Learning with Auxiliary Task S Chang, P Liu, Y Tang, J Huang, X He, B Zhou AAAI 2020, 2019 | 27 | 2019 |
Dr. Spider: A diagnostic evaluation benchmark towards text-to-SQL robustness S Chang, J Wang, M Dong, L Pan, H Zhu, AH Li, W Lan, S Zhang, J Jiang, ... ICLR 2023, 2023 | 15* | 2023 |
Did you ask a good question? a cross-domain question intention classification benchmark for text-to-sql Y Zhang, X Dong, S Chang, T Yu, P Shi, R Zhang arXiv preprint arXiv:2010.12634, 2020 | 13 | 2020 |
MapQA: A dataset for question answering on choropleth maps S Chang, D Palzer, J Li, E Fosler-Lussier, N Xiao arXiv preprint arXiv:2211.08545, 2022 | 11 | 2022 |
Wuwei Lan, Sheng Zhang, Jiarong Jiang, Joseph Lilien, et al. 2023. Dr. spider: A diagnostic evaluation benchmark towards text-to-sql robustness S Chang, J Wang, M Dong, L Pan, H Zhu, AH Li arXiv preprint arXiv:2301.08881 7, 2023 | 10 | 2023 |
Selective demonstrations for cross-domain text-to-SQL S Chang, E Fosler-Lussier arXiv preprint arXiv:2310.06302, 2023 | 8 | 2023 |
Prefix-to-SQL: Text-to-SQL Generation from Incomplete User Questions N Deng, S Chang, P Shi, T Yu, R Zhang arXiv preprint arXiv:2109.13066, 2021 | 3 | 2021 |
Reliable Natural Language Interfaces to Heterogeneous Structured Data S Chang The Ohio State University, 2023 | | 2023 |