[2Win5] Poster session 2

[2Win5-45] Text Refinement Using Large Language Models

〇Shiori Sawada¹, Katsuhito Sudoh¹ (1.Nara Women's University)

Keywords:Large Language Models

Large language models (LLMs) are widely used for revising human-written text to make the writing process more
efficient. While there have been many studies on error correction or proofreading, text refinement is understudied
and still challenging. In this study, we use LLMs to revise the abstract of academic papers written in Japanese.
We propose prompts for LLMs to provide detailed feedback considering the characteristics of academic writing.
In our experiments, the number of comments related to academic writing-specific expressions increased, and the
proportion of appropriate feedback also improved.