DAC: Decomposed Automation Correction for Text-to-SQL

16 August 2024

Papers citing "DAC: Decomposed Automation Correction for Text-to-SQL"

6 / 6 papers shown

Title
QDA-SQL: Questions Enhanced Dialogue Augmentation for Multi-Turn Text-to-SQL Yinggang Sun Ziming Guo Haining Yu Chuanyi Liu Xiang Li Bingxuan Wang Xiangzhan Yu Tiancheng Zhao 28 1 0 15 Jun 2024
When Can LLMs Actually Correct Their Own Mistakes? A Critical Survey of Self-Correction of LLMs Ryo Kamoi Yusen Zhang Nan Zhang Jiawei Han Rui Zhang LRM 37 19 0 03 Jun 2024
Decomposition for Enhancing Attention: Improving LLM-based Text-to-SQL through Workflow Paradigm Yuanzhen Xie Xinzhou Jin Tao Xie Mingxiong Lin Liang Chen Chenyun Yu Lei Cheng Chengxiang Zhuo Bo Hu Zang Li 40 10 0 16 Feb 2024
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 301 11,730 0 04 Mar 2022
Awakening Latent Grounding from Pretrained Language Models for Semantic Parsing Qian Liu Dejian Yang Jiahui Zhang Jiaqi Guo Bin Zhou Jian-Guang Lou 40 40 0 22 Sep 2021
PICARD: Parsing Incrementally for Constrained Auto-Regressive Decoding from Language Models Torsten Scholak Nathan Schucher Dzmitry Bahdanau 138 291 0 10 Sep 2021