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most citedKorMedMCQA: Multi-Choice Question Answering Benchmark for Korean Healthcare Professional Licensing Examinations

3 citations · 7 across the 9 of their papers we have counts for

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cs.CL2024

EHR-SeqSQL : A Sequential Text-to-SQL Dataset For Interactively Exploring Electronic Health Records

Jaehee Ryu, Seonhee Cho, Gyubok Lee +1

In this paper, we introduce EHR-SeqSQL, a novel sequential text-to-SQL dataset for Electronic Health Record (EHR) databases. EHR-SeqSQL is designed to address critical yet underexp…

cs.CL2024★ 1 cited

Overview of the EHRSQL 2024 Shared Task on Reliable Text-to-SQL Modeling on Electronic Health Records

Gyubok Lee, Sunjun Kweon, Seongsu Bae +1

Electronic Health Records (EHRs) are relational databases that store the entire medical histories of patients within hospitals. They record numerous aspects of patients' medical ca…

cs.CL2024

Towards Unbiased Evaluation of Detecting Unanswerable Questions in EHRSQL

Yongjin Yang, Sihyeon Kim, SangMook Kim +3

Incorporating unanswerable questions into EHR QA systems is crucial for testing the trustworthiness of a system, as providing non-existent responses can mislead doctors in their di…

cs.AI2024★ 1 cited

TrustSQL: Benchmarking Text-to-SQL Reliability with Penalty-Based Scoring

Gyubok Lee, Woosog Chay, Seonhee Cho +1

Text-to-SQL enables users to interact with databases using natural language, simplifying the retrieval and synthesis of information. Despite the remarkable success of large languag…

cs.CL2024★ 3 cited

KorMedMCQA: Multi-Choice Question Answering Benchmark for Korean Healthcare Professional Licensing Examinations

Sunjun Kweon, Byungjin Choi, Gyouk Chu +7

We present KorMedMCQA, the first Korean Medical Multiple-Choice Question Answering benchmark, derived from professional healthcare licensing examinations conducted in Korea between…