1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CL2024
Multi-Response Preference Optimization with Augmented Ranking Dataset
Hansle Gwon, Imjin Ahn, Young-Hak Kim +2
Recent advancements in Large Language Models (LLMs) have been remarkable, with new models consistently surpassing their predecessors. These advancements are underpinned by extensiv…
cs.CV2024
InMD-X: Large Language Models for Internal Medicine Doctors
Hansle Gwon, Imjin Ahn, Hyoje Jung +3
In this paper, we introduce InMD-X, a collection of multiple large language models specifically designed to cater to the unique characteristics and demands of Internal Medicine Doc…
cs.CV2024★ 1 cited
NOTE: Notable generation Of patient Text summaries through Efficient approach based on direct preference optimization
Imjin Ahn, Hansle Gwon, Young-Hak Kim +2
The discharge summary is a one of critical documents in the patient journey, encompassing all events experienced during hospitalization, including multiple visits, medications, tes…