Author

Shuaichen Chang

Observed name: Chang, Shuaichen

Institutions: Amazon (United States), IBM (United States)

Observed institutions: Rutgers, The State University of New Jersey, Amazon (United States), IBM (United States), University of Massachusetts Amherst, The Ohio State University

OpenAlex ID: A5015849999

Contextualized Non-Local Neural Networks for Sequence Learning

2019 · Pengfei Liu, Shuaichen Chang, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 52

RAGChecker: A Fine-grained Framework for Diagnosing Retrieval-Augmented Generation

2024 · Dongyu Ru, Lin Qiu, et al. · neural information processing systems · 38

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ExplainaBoard: An Explainable Leaderboard for NLP

2021 · Pengfei Liu, Jinlan Fu, et al. · Annual Meeting of the Association for Computational Linguistics: System Demonstrations (ACL Demo) · 35

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Zero-Shot Text-to-SQL Learning with Auxiliary Task

2020 · Shuaichen Chang, Pengfei Liu, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 25

Selective Demonstrations for Cross-domain Text-to-SQL

2023 · Shuaichen Chang, Eric Fosler-Lussier · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP) · 19

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How to Prompt LLMs for Text-to-SQL: A Study in Zero-shot, Single-domain, and Cross-domain Settings

2023 · Chang, Shuaichen, Fosler-Lussier, Eric · arXiv (Cornell University) · 14

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Dr.Spider: A Diagnostic Evaluation Benchmark towards Text-to-SQL Robustness

2023 · Chang, Shuaichen, Wang, Jun, et al. · arXiv (Cornell University) · 11

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MapQA: A Dataset for Question Answering on Choropleth Maps

2022 · Chang, Shuaichen, Palzer, David, et al. · arXiv (Cornell University) · 10

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Did You Ask a Good Question? A Cross-Domain Question Intention Classification Benchmark for Text-to-SQL

2020 · Zhang, Yusen, Dong, Xiangyu, et al. · arXiv (Cornell University) · 7

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PRACTIQ: A Practical Conversational Text-to-SQL dataset with Ambiguous and Unanswerable Queries

2025 · Mingwen Dong, Nischal Ashok Kumar, et al. · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) · 6

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You Only Read Once (YORO): Learning to Internalize Database Knowledge for Text-to-SQL

2025 · Hideo Kobayashi, Wuwei Lan, et al. · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) · 4

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PRACTIQ: A Practical Conversational Text-to-SQL dataset with Ambiguous and Unanswerable Queries

2024 · Dong, Mingwen, Kumar, Nischal Ashok, et al. · arXiv (Cornell University) · 2

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Prefix-to-SQL: Text-to-SQL Generation from Incomplete User Questions

2021 · Deng, Naihao, Chang, Shuaichen, et al. · arXiv (Cornell University) · 1

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EvoBelief: Falsifiable World Models for Self-Improving LLM Agents

2026 · Wang, Janet, Guo, Jiang, et al. · arXiv (Cornell University)

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DEdit: Iterative Draft Editing for Speculative Decoding

2026 · Yu, Longxuan, Chen, Bingsen, et al. · arXiv (Cornell University)