DAC: Decomposed Automation Correction for Text-to-SQL
Findings of the Association for Computational Linguistics: EMNLP 2025, 385--402, 2025.
Wang, Dingzirui and Dou, Longxu and Zhang, Xuanliang and Zhu, Qingfu and Che, Wanxiang
EMNLP(Findings)
DAC: Decomposed Automation Correction for Text-to-SQL
Findings of the Association for Computational Linguistics: EMNLP 2025, 385--402, 2025.
Wang, Dingzirui and Dou, Longxu and Zhang, Xuanliang and Zhu, Qingfu and Che, Wanxiang
DLPO: Towards a Robust, Efficient, and Generalizable Prompt Optimization Framework from a Deep-Learning Perspective
Findings of the Association for Computational Linguistics: EMNLP 2025, 8311--8334, 2025.
Peng, Dengyun and Zhou, Yuhang and Chen, Qiguang and Liu, JinHao and Chen, Jingjing and Qin, Libo and Che, Wanxiang
DLPO: Towards a Robust, Efficient, and Generalizable Prompt Optimization Framework from a Deep-Learning Perspective
Findings of the Association for Computational Linguistics: EMNLP 2025, 8311--8334, 2025.
Peng, Dengyun and Zhou, Yuhang and Chen, Qiguang and Liu, JinHao and Chen, Jingjing and Qin, Libo and Che, Wanxiang
MULTITAT: Benchmarking Multilingual Table-and-Text Question Answering
Findings of the Association for Computational Linguistics: EMNLP 2025, 626--647, 2025.
Zhang, Xuanliang and Wang, Dingzirui and Xu, Keyan and Zhu, Qingfu and Che, Wanxiang
MULTITAT: Benchmarking Multilingual Table-and-Text Question Answering
Findings of the Association for Computational Linguistics: EMNLP 2025, 626--647, 2025.
Zhang, Xuanliang and Wang, Dingzirui and Xu, Keyan and Zhu, Qingfu and Che, Wanxiang
Improving Demonstration Diversity by Human-Free Fusing for Text-to-SQL
Findings of the Association for Computational Linguistics: EMNLP 2024, 1193--1207, 2024.
Wang, Dingzirui and Dou, Longxu and Zhang, Xuanliang and Zhu, Qingfu and Che, Wanxiang
Improving Demonstration Diversity by Human-Free Fusing for Text-to-SQL
Findings of the Association for Computational Linguistics: EMNLP 2024, 1193--1207, 2024.
Wang, Dingzirui and Dou, Longxu and Zhang, Xuanliang and Zhu, Qingfu and Che, Wanxiang
Self-Constructed Context Decompilation with Fined-grained Alignment Enhancement
Findings of the Association for Computational Linguistics: EMNLP 2024, 6603--6614, 2024.
Feng, Yunlong and Teng, Dechuan and Xu, Yang and Mu, Honglin and Xu, Xiao and Qin, Libo and Zhu, Qingfu and Che, Wanxiang
Self-Constructed Context Decompilation with Fined-grained Alignment Enhancement
Findings of the Association for Computational Linguistics: EMNLP 2024, 6603--6614, 2024.
Feng, Yunlong and Teng, Dechuan and Xu, Yang and Mu, Honglin and Xu, Xiao and Qin, Libo and Zhu, Qingfu and Che, Wanxiang
AGIF: An Adaptive Graph-Interactive Framework for Joint Multiple Intent Detection and Slot Filling
Findings of the Association for Computational Linguistics: EMNLP 2020, 1807--1816, 2020.
Qin, Libo and Xu, Xiao and Che, Wanxiang and Liu, Ting
AGIF: An Adaptive Graph-Interactive Framework for Joint Multiple Intent Detection and Slot Filling
Findings of the Association for Computational Linguistics: EMNLP 2020, 1807--1816, 2020.
Qin, Libo and Xu, Xiao and Che, Wanxiang and Liu, Ting
Revisiting Pre-Trained Models for Chinese Natural Language Processing
Findings of the Association for Computational Linguistics: EMNLP 2020, 657--668, 2020.
Cui, Yiming and Che, Wanxiang and Liu, Ting and Qin, Bing and Wang, Shijin and Hu, Guoping
Revisiting Pre-Trained Models for Chinese Natural Language Processing
Findings of the Association for Computational Linguistics: EMNLP 2020, 657--668, 2020.
Cui, Yiming and Che, Wanxiang and Liu, Ting and Qin, Bing and Wang, Shijin and Hu, Guoping