2 citations · 3 across the 8 of their papers we have counts for
5 papers · 1 filter
A Japanese Language Model and Three New Evaluation Benchmarks for Pharmaceutical NLP
Shinnosuke Ono, Issey Sukeda, Takuro Fujii +2
We present a Japanese domain-specific language model for the pharmaceutical field, developed through continual pretraining on 2 billion Japanese pharmaceutical tokens and 8 billion…
Exploring the Role of Knowledge Graph-Based RAG in Japanese Medical Question Answering with Small-Scale LLMs
Yingjian Chen, Feiyang Li, Xingyu Song +5
Large language models (LLMs) perform well in medical QA, but their effectiveness in Japanese contexts is limited due to privacy constraints that prevent the use of commercial model…
Development and bilingual evaluation of Japanese medical large language model within reasonably low computational resources
Issey Sukeda
The recent success of large language models (LLMs) and the scaling law has led to a widespread adoption of larger models. Particularly in the healthcare industry, there is an incre…
70B-parameter large language models in Japanese medical question-answering
Issey Sukeda, Risa Kishikawa, Satoshi Kodera
Since the rise of large language models (LLMs), the domain adaptation has been one of the hot topics in various domains. Many medical LLMs trained with English medical dataset have…
JMedLoRA:Medical Domain Adaptation on Japanese Large Language Models using Instruction-tuning
Issey Sukeda, Masahiro Suzuki, Hiroki Sakaji +1
In the ongoing wave of impact driven by large language models (LLMs) like ChatGPT, the adaptation of LLMs to medical domain has emerged as a crucial research frontier. Since mainst…