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LG AI Research & KAIST at EHRSQL 2024: Self-Training Large Language
  Models with Pseudo-Labeled Unanswerable Questions for a Reliable Text-to-SQL
  System on EHRs

LG AI Research & KAIST at EHRSQL 2024: Self-Training Large Language Models with Pseudo-Labeled Unanswerable Questions for a Reliable Text-to-SQL System on EHRs

18 May 2024
Yongrae Jo
Seongyun Lee
Minju Seo
Sung Ju Hwang
Moontae Lee
ArXivPDFHTML

Papers citing "LG AI Research & KAIST at EHRSQL 2024: Self-Training Large Language Models with Pseudo-Labeled Unanswerable Questions for a Reliable Text-to-SQL System on EHRs"

4 / 4 papers shown
Title
SAFE-SQL: Self-Augmented In-Context Learning with Fine-grained Example Selection for Text-to-SQL
SAFE-SQL: Self-Augmented In-Context Learning with Fine-grained Example Selection for Text-to-SQL
Jimin Lee
Ingeol Baek
Byeongjeong Kim
Hwanhee Lee
42
1
0
17 Feb 2025
PTD-SQL: Partitioning and Targeted Drilling with LLMs in Text-to-SQL
PTD-SQL: Partitioning and Targeted Drilling with LLMs in Text-to-SQL
Ruilin Luo
Liyuan Wang
Binghuai Lin
Zicheng Lin
Yujiu Yang
LRM
23
5
0
21 Sep 2024
Overview of the EHRSQL 2024 Shared Task on Reliable Text-to-SQL Modeling
  on Electronic Health Records
Overview of the EHRSQL 2024 Shared Task on Reliable Text-to-SQL Modeling on Electronic Health Records
Gyubok Lee
Sunjun Kweon
Seongsu Bae
Edward Choi
21
2
0
04 May 2024
Knowledge Graph-based Question Answering with Electronic Health Records
Knowledge Graph-based Question Answering with Electronic Health Records
Junwoo Park
Youngwoo Cho
Haneol Lee
Jaegul Choo
E. Choi
28
30
0
19 Oct 2020
1