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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
Text-to-SQL models are pivotal for making Electronic Health Records (EHRs) accessible to healthcare professionals without SQL knowledge.
Retrieval-Augmented Data Augmentation for Low-Resource Domain Tasks
Many existing works tackle this problem by generating synthetic data from the training data and then training models on them, recently using Large Language Models (LLMs).
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