LG AI Research & KAIST at EHRSQL 2024: Self-Training Large Language Models with Pseudo-Labeled Unanswerable Questions for a Reliable Text-to-SQL System …
Text-to-SQL models are pivotal for making Electronic Health Records (EHRs) accessible to
healthcare professionals without SQL knowledge. With the advancements in large language …
healthcare professionals without SQL knowledge. With the advancements in large language …
ProbGate at EHRSQL 2024: Enhancing SQL Query Generation Accuracy through Probabilistic Threshold Filtering and Error Handling
Recently, deep learning-based language models have significantly enhanced text-to-SQL
tasks, with promising applications in retrieving patient records within the medical domain …
tasks, with promising applications in retrieving patient records within the medical domain …
KU-DMIS at EHRSQL 2024: Generating SQL query via question templatization in EHR
Transforming natural language questions into SQL queries is crucial for precise data
retrieval from electronic health record (EHR) databases. A significant challenge in this …
retrieval from electronic health record (EHR) databases. A significant challenge in this …
AIRI NLP Team at EHRSQL 2024 Shared Task: T5 and Logistic Regression to the Rescue
O Somov, A Dontsov, E Tutubalina - Proceedings of the 6th …, 2024 - aclanthology.org
This paper presents a system developed for the Clinical NLP 2024 Shared Task, focusing on
reliable text-to-SQL modeling on Electronic Health Records (EHRs). The goal is to create a …
reliable text-to-SQL modeling on Electronic Health Records (EHRs). The goal is to create a …
Project PRIMUS at EHRSQL 2024: Text-to-SQL Generation using Large Language Model for EHR Analysis
S Joy, R Ahmed, A Saha, M Habil, U Das… - Proceedings of the …, 2024 - aclanthology.org
This paper explores the application of the sqlcoders model, a pre-trained neural network, for
automatic SQL query generation from natural language questions. We focus on the model's …
automatic SQL query generation from natural language questions. We focus on the model's …