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2020 – today
- 2023
[i7]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)- 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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