ACT-SQL: In-Context Learning for Text-to-SQL with Automatically-Generated Chain-of-ThoughtDec 6, 2023·Hanchong ZhangRuisheng Cao,Lu Chen,Hongshen Xu,Kai Yu· 0 min read PDF Cite Code DOI URLTypeConference paperPublicationFindings of the Association for Computational Linguistics: EMNLP 2023, Singapore, December 6-10, 2023Last updated on Dec 6, 2023Large Language Model Text-to-SQL Chain-of-Thought In-Context Learning Prompt Engineering AuthorsRuisheng Cao4th-year CS PhD candidateResearch interests include structured natural language understanding, model-based data generation and iterative training, and LLM-based multi-modal agents. ← Hierarchical Multimodal Pre-training for Visually Rich Webpage Understanding Mar 4, 2024ASTormer: An AST Structure-aware Transformer Decoder for Text-to-SQL Oct 28, 2023 →
