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Shuaichen Chang
Shuaichen Chang
Amazon Web Services
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Title
Cited by
Cited by
Year
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
602021
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
512019
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
332023
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
27*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
272019
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
132022
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
132020
Selective demonstrations for cross-domain text-to-SQL
S Chang, E Fosler-Lussier
arXiv preprint arXiv:2310.06302, 2023
112023
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
32021
RAGChecker: A Fine-grained Framework for Diagnosing Retrieval-Augmented Generation
D Ru, L Qiu, X Hu, T Zhang, P Shi, S Chang, J Cheng, C Wang, S Sun, ...
arXiv preprint arXiv:2408.08067, 2024
2024
Reliable Natural Language Interfaces to Heterogeneous Structured Data
S Chang
The Ohio State University, 2023
2023
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Articles 1–11