Comparative Analysis of Large Language Models for Answering Cancer-Related Questions in Korean

Both ChatGPT and CLOVA X answered Korean-language cancer-related questions with no significant difference in overall quality.

Authors

Institutions

Publication Details

Journal
Yonsei Medical Journal
Published
2025-01-01
DOI
https://doi.org/10.3349/ymj.2024.0200
Citations
1
Primary Topic
Topic Modeling
Type
article
Field-Weighted Citation Impact
2.48
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Comparative Analysis of Large Language Models for Answering Cancer-Related Questions in Korean

Hyun Chang, Yong-Ho Kim, Jin-Woo Jung
1 citations
Yonsei Medical Journal
Topic Modeling
2.48
article

Comparative Analysis of Large Language Models for Answering Cancer-Related Questions in Korean

Hyun Chang, Yong-Ho Kim, Jin-Woo Jung
article en
1 citations

Abstract

Both ChatGPT and CLOVA X answered Korean-language cancer-related questions with no significant difference in overall quality.

Yonsei Medical JournalVol. 66(7)
Catholic Kwandong University International St. Mary's Hospital (KR)
Quality Education
Openalex Percentile: Top 10%
Topic Modeling
2.48
DOIOpen Access PDFOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Comparative Analysis of Large Language Models for Answering Cancer-Related Questions in Korean — Hyun Chang, Yong-Ho Kim, et al. · Yonsei Medical Journal (2025) | TGRS Research Map | TGRS