Benchmarking and Improving Text-to-SQL Generation under Ambiguity

20 October 2023

Papers citing "Benchmarking and Improving Text-to-SQL Generation under Ambiguity"

9 / 9 papers shown

Title
Mastering the Craft of Data Synthesis for CodeLLMs Meng Chen Philip Arthur Qianyu Feng Cong Duy Vu Hoang Yu-Heng Hong ... Mark Johnson Kemal Kurniawan Don Dharmasiri Long Duong Yuan-Fang Li SyDa 58 1 0 16 Oct 2024
AMBROSIA: A Benchmark for Parsing Ambiguous Questions into Database Queries Irina Saparina Mirella Lapata 57 11 0 27 Jun 2024
AmbigNLG: Addressing Task Ambiguity in Instruction for NLG Ayana Niwa Hayate Iso 36 4 0 27 Feb 2024
A comprehensive evaluation of ChatGPT's zero-shot Text-to-SQL capability Aiwei Liu Xuming Hu Lijie Wen Philip S. Yu LMTD AI4MH 82 149 0 12 Mar 2023
Diverse Parallel Data Synthesis for Cross-Database Adaptation of Text-to-SQL Parsers Abhijeet Awasthi Ashutosh Sathe Sunita Sarawagi 33 4 0 29 Oct 2022
TempLM: Distilling Language Models into Template-Based Generators Tianyi Zhang Mina Lee Lisa Li Ende Shen Tatsunori B. Hashimoto VLM 34 5 0 23 May 2022
Natural SQL: Making SQL Easier to Infer from Natural Language Specifications Yujian Gan Xinyun Chen Jinxia Xie Matthew Purver J. Woodward J. Drake Qiaofu Zhang 80 91 0 11 Sep 2021
PICARD: Parsing Incrementally for Constrained Auto-Regressive Decoding from Language Models Torsten Scholak Nathan Schucher Dzmitry Bahdanau 154 374 0 10 Sep 2021
SmBoP: Semi-autoregressive Bottom-up Semantic Parsing Ohad Rubin Jonathan Berant 138 150 0 23 Oct 2020