213 citations · 221 across the 6 of their papers we have counts for
6 papers
Mitigating Adversarial Attacks in LLMs through Defensive Suffix Generation
Minkyoung Kim, Yunha Kim, Hyeram Seo +9
Large language models (LLMs) have exhibited outstanding performance in natural language processing tasks. However, these models remain susceptible to adversarial attacks in which s…
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…
Enhancing Clinical Efficiency through LLM: Discharge Note Generation for Cardiac Patients
HyoJe Jung, Yunha Kim, Heejung Choi +10
Medical documentation, including discharge notes, is crucial for ensuring patient care quality, continuity, and effective medical communication. However, the manual creation of the…
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…
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…
Multi-modal Understanding and Generation for Medical Images and Text via Vision-Language Pre-Training
Jong Hak Moon, Hyungyung Lee, Woncheol Shin +2
Recently a number of studies demonstrated impressive performance on diverse vision-language multi-modal tasks such as image captioning and visual question answering by extending th…