Transformer model with external token memories and attention for PersonaChat

Abstract Many existing studies aim to develop a dialog system capable of acting as efficiently and accurately as humans. The prevailing approach involves using large machine-learning models and extensive datasets for training to ensure that token information and the connections between them exist so...

詳細記述

書誌詳細

出版年:	Scientific Reports
主要な著者:	Taize Sun, Katsuhide Fujita
フォーマット:	論文
言語:	英語
出版事項:	Nature Portfolio 2025-07-01
主題:	Encoder–decoder model Persona-Chat Dialogue system Fine-tuning External memory Attention mechanism
オンライン･アクセス:	https://doi.org/10.1038/s41598-025-98850-y