Contextualized Non-Local Neural Networks for Sequence Learning. - Pengfei Liu 003; Shuaichen Chang; Xuanjing Huang 001; Jian Tang; Jackie Chi Kit Cheung (AAAI, 2019)

Zero-Shot Text-to-SQL Learning with Auxiliary Task. - Shuaichen Chang; Pengfei Liu; Yun Tang 002; Jing Huang 019; Xiaodong He 001; Bowen Zhou 001 (AAAI, 2020)

Did You Ask a Good Question? A Cross-Domain Question Intention Classification Benchmark for Text-to-SQL. - Yusen Zhang 001; Xiangyu Dong 002; Shuaichen Chang; Tao Yu 009; Peng Shi 010; Rui Zhang 037 (CoRR, 2020)

ExplainaBoard: An Explainable Leaderboard for NLP. - Pengfei Liu 003; Jinlan Fu; Yang Xiao; Weizhe Yuan; Shuaichen Chang; Junqi Dai; Yixin Liu 003; Zihuiwen Ye; Graham Neubig (ACL (demo), 2021)

Prefix-to-SQL: Text-to-SQL Generation from Incomplete User Questions. - Naihao Deng; Shuaichen Chang; Peng Shi 010; Tao Yu 009; Rui Zhang 037 (CoRR, 2021)

MapQA: A Dataset for Question Answering on Choropleth Maps. - Shuaichen Chang; David Palzer; Jialin Li; Eric Fosler-Lussier; Ningchuan Xiao (CoRR, 2022)

Selective Demonstrations for Cross-domain Text-to-SQL. - Shuaichen Chang; Eric Fosler-Lussier (EMNLP (Findings), 2023)

Dr.Spider: A Diagnostic Evaluation Benchmark towards Text-to-SQL Robustness. - Shuaichen Chang; Jun Wang 122; Mingwen Dong; Lin Pan 003; Henghui Zhu; Alexander Hanbo Li; Wuwei Lan; Sheng Zhang 029; Jiarong Jiang; Joseph Lilien; Steve Ash; William Yang Wang; et al. (ICLR, 2023)

How to Prompt LLMs for Text-to-SQL: A Study in Zero-shot, Single-domain, and Cross-domain Settings. - Shuaichen Chang; Eric Fosler-Lussier (CoRR, 2023)

RAGChecker: A Fine-grained Framework for Diagnosing Retrieval-Augmented Generation. - Dongyu Ru; Lin Qiu; Xiangkun Hu; Tianhang Zhang; Peng Shi 010; Shuaichen Chang; Cheng Jiayang; Cunxiang Wang; Shichao Sun; Huanyu Li 010; Zizhao Zhang; Binjie Wang; et al. (NeurIPS, 2024)

PRACTIQ: A Practical Conversational Text-to-SQL dataset with Ambiguous and Unanswerable Queries. - Mingwen Dong; Nischal Ashok Kumar; Yiqun Hu; Anuj Chauhan; Chung-Wei Hang; Shuaichen Chang; Lin Pan 003; Wuwei Lan; Henghui Zhu; Jiarong Jiang; Patrick Ng; Zhiguo Wang (NAACL (Long Papers), 2025)

You Only Read Once (YORO): Learning to Internalize Database Knowledge for Text-to-SQL. - Hideo Kobayashi; Wuwei Lan; Peng Shi 010; Shuaichen Chang; Jiang Guo; Henghui Zhu; Zhiguo Wang; Patrick Ng (NAACL (Long Papers), 2025)

Towards Better Understanding Table Instruction Tuning: Decoupling the Effects from Data versus Models. - Naihao Deng; Sheng Zhang 029; Henghui Zhu; Shuaichen Chang; Jiani Zhang 003; Alexander Hanbo Li; Chung-Wei Hang; Hideo Kobayashi; Yiqun Hu; Patrick Ng (CoRR, 2025)