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2020 – today
- 2024
[i11]Dongyu Ru, Lin Qiu, Xiangkun Hu, Tianhang Zhang, Peng Shi, Shuaichen Chang, Cheng Jiayang, Cunxiang Wang, Shichao Sun, Huanyu Li, Zizhao Zhang, Binjie Wang, Jiarong Jiang, Tong He, Zhiguo Wang, Pengfei Liu, Yue Zhang, Zheng Zhang:
RAGChecker: A Fine-grained Framework for Diagnosing Retrieval-Augmented Generation. CoRR abs/2408.08067 (2024)- [i10]Hideo Kobayashi, Wuwei Lan, Peng Shi, Shuaichen Chang, Jiang Guo, Henghui Zhu, Zhiguo Wang, Patrick Ng:
You Only Read Once (YORO): Learning to Internalize Database Knowledge for Text-to-SQL. CoRR abs/2409.12172 (2024) - 2023
- [c5]Shuaichen Chang, Eric Fosler-Lussier:
Selective Demonstrations for Cross-domain Text-to-SQL. EMNLP (Findings) 2023: 14174-14189 - [c4]Shuaichen Chang, Jun Wang, Mingwen Dong, Lin Pan, Henghui Zhu, Alexander Hanbo Li, Wuwei Lan, Sheng Zhang, Jiarong Jiang, Joseph Lilien, Steve Ash, William Yang Wang, Zhiguo Wang, Vittorio Castelli, Patrick Ng, Bing Xiang:
Dr.Spider: A Diagnostic Evaluation Benchmark towards Text-to-SQL Robustness. ICLR 2023 - [i9]Shuaichen Chang, Jun Wang, Mingwen Dong, Lin Pan, Henghui Zhu, Alexander Hanbo Li, Wuwei Lan, Sheng Zhang, Jiarong Jiang, Joseph Lilien, Steve Ash, William Yang Wang, Zhiguo Wang, Vittorio Castelli, Patrick Ng, Bing Xiang:
Dr.Spider: A Diagnostic Evaluation Benchmark towards Text-to-SQL Robustness. CoRR abs/2301.08881 (2023) - [i8]Shuaichen Chang, Eric Fosler-Lussier:
How to Prompt LLMs for Text-to-SQL: A Study in Zero-shot, Single-domain, and Cross-domain Settings. CoRR abs/2305.11853 (2023) - [i7]Shuaichen Chang, Eric Fosler-Lussier:
Selective Demonstrations for Cross-domain Text-to-SQL. CoRR abs/2310.06302 (2023) - 2022
- [i6]Shuaichen Chang, David Palzer, Jialin Li, Eric Fosler-Lussier, Ningchuan Xiao:
MapQA: A Dataset for Question Answering on Choropleth Maps. CoRR abs/2211.08545 (2022) - 2021
- [c3]Pengfei Liu, Jinlan Fu, Yang Xiao, Weizhe Yuan, Shuaichen Chang, Junqi Dai, Yixin Liu, Zihuiwen Ye, Graham Neubig:
ExplainaBoard: An Explainable Leaderboard for NLP. ACL (demo) 2021: 280-289 - [i5]Pengfei Liu, Jinlan Fu, Yang Xiao, Weizhe Yuan, Shuaichen Chang, Junqi Dai, Yixin Liu, Zihuiwen Ye, Graham Neubig:
EXPLAINABOARD: An Explainable Leaderboard for NLP. CoRR abs/2104.06387 (2021) - [i4]Naihao Deng, Shuaichen Chang, Peng Shi, Tao Yu, Rui Zhang:
Prefix-to-SQL: Text-to-SQL Generation from Incomplete User Questions. CoRR abs/2109.13066 (2021) - 2020
- [c2]Shuaichen Chang, Pengfei Liu, Yun Tang, Jing Huang, Xiaodong He, Bowen Zhou:
Zero-Shot Text-to-SQL Learning with Auxiliary Task. AAAI 2020: 7488-7495 - [i3]Yusen Zhang, Xiangyu Dong, Shuaichen Chang, Tao Yu
, Peng Shi, Rui Zhang:
Did You Ask a Good Question? A Cross-Domain Question Intention Classification Benchmark for Text-to-SQL. CoRR abs/2010.12634 (2020)
2010 – 2019
- 2019
- [c1]Pengfei Liu, Shuaichen Chang, Xuanjing Huang, Jian Tang, Jackie Chi Kit Cheung:
Contextualized Non-Local Neural Networks for Sequence Learning. AAAI 2019: 6762-6769 - [i2]Shuaichen Chang, Pengfei Liu, Yun Tang, Jing Huang, Xiaodong He, Bowen Zhou:
Zero-shot Text-to-SQL Learning with Auxiliary Task. CoRR abs/1908.11052 (2019) - 2018
- [i1]Pengfei Liu, Shuaichen Chang, Xuanjing Huang, Jian Tang, Jackie Chi Kit Cheung:
Contextualized Non-local Neural Networks for Sequence Learning. CoRR abs/1811.08600 (2018)
Coauthor Index
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