[15p-S2_204-1~18] 23.1 Joint Session N "Informatics"

5:00 PM - 5:15 PM JST(8:00 AM - 8:15 AM UTC)

[15p-S2_204-13] Large Language Model for Academic Literature Toward a Polymer-Domain-Specific AI

〇Shun Muroga¹, Makoto Miyagishi¹ (1.AIST)

Keywords:

large language model,literature,polymer

We report our work to develop an AI system specialized for polymer-related fields such as plastics and rubber using large language models (LLMs). By leveraging a local LLM running on a standalone PC, we evaluated its performance on a Q&A benchmark and further conducted Q&A generation and knowledge extraction from domain-specific academic literature, verifying its potential for expert-level responses.