Yongrae Jo, Seongyun Lee, Minju Seo, Sung Ju Hwang, Moontae Lee. 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. In Tristan Naumann, Asma Ben Abacha, Steven Bethard, Kirk Roberts, Danielle S. Bitterman, editors, Proceedings of the 6th Clinical Natural Language Processing Workshop, ClinicalNLP@NAACL 2024, Mexico City, Mexico, June 21, 2024. pages 635-643, Association for Computational Linguistics, 2024. [doi]
@inproceedings{JoLSHL24,
title = {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},
author = {Yongrae Jo and Seongyun Lee and Minju Seo and Sung Ju Hwang and Moontae Lee},
year = {2024},
doi = {10.18653/v1/2024.clinicalnlp-1.61},
url = {https://doi.org/10.18653/v1/2024.clinicalnlp-1.61},
researchr = {https://researchr.org/publication/JoLSHL24},
cites = {0},
citedby = {0},
pages = {635-643},
booktitle = {Proceedings of the 6th Clinical Natural Language Processing Workshop, ClinicalNLP@NAACL 2024, Mexico City, Mexico, June 21, 2024},
editor = {Tristan Naumann and Asma Ben Abacha and Steven Bethard and Kirk Roberts and Danielle S. Bitterman},
publisher = {Association for Computational Linguistics},
isbn = {979-8-89176-109-4},
}