Question Generation from SQL Queries Improves Neural Semantic Parsing
Daya Guo(Sun Yat-sen University), Ming Zhou(Langdon Hospital), Yibo Sun(Advanced Institute of Materials Science), Nan Duan(Microsoft Research Asia (China)), James Cao(Microsoft Research (United Kingdom)), Peng Chen(Microsoft Research (United Kingdom)), Hong Chi(Microsoft Research (United Kingdom)), Duyu Tang(Microsoft Research Asia (China)), Jian Yin(Sun Yat-sen University)
Cited by 61
Related Papers
CodeBERT: A Pre-Trained Model for Programming and Natural Languages
|Unknown|2020|2.5k
CLIP4Clip: An empirical study of CLIP for end to end video clip retrieval and captioning
|Neurocomputing|2022|676
UniXcoder: Unified Cross-Modal Pre-training for Code Representation
|Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)|2022|554
Can Open Large Language Models Catch Vulnerabilities?
|arXiv (Cornell University)|2025|501