7 citations · 7 across the 5 of their papers we have counts for
5 papers
Ruling Out to Rule In: Contrastive Hypothesis Retrieval for Medical Question Answering
Byeolhee Kim, Min-Kyung Kim, Young-Hak Kim +1
Retrieval-augmented generation (RAG) grounds large language models in external medical knowledge, yet standard retrievers frequently surface hard negatives that are semantically cl…
Quality-Aware Translation Tagging in Multilingual RAG system
Hoyeon Moon, Byeolhee Kim, Nikhil Verma
Multilingual Retrieval-Augmented Generation (mRAG) often retrieves English documents and translates them into the query language for low-resource settings. However, poor translatio…
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…
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…