Younggyun Hahm
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View article: Optimizing Language Augmentation for Multilingual Large Language Models: A Case Study on Korean
Optimizing Language Augmentation for Multilingual Large Language Models: A Case Study on Korean Open
Large language models (LLMs) use pretraining to predict the subsequent word; however, their expansion requires significant computing resources. Numerous big tech companies and research institutes have developed multilingual LLMs (MLLMs) to…
View article: Teddysum at MEDIQA-Chat 2023: an analysis of fine-tuning strategy for long dialog summarization
Teddysum at MEDIQA-Chat 2023: an analysis of fine-tuning strategy for long dialog summarization Open
In this paper, we introduce the design and various attempts for TaskB of MEDIQA-Chat 2023. The goal of TaskB in MEDIQA-Chat 2023 is to generate full clinical note from doctor-patient consultation dialogues. This task has several challengin…