ILSTMA: Enhancing Accuracy and Speed of Long-Term and Short-Term Memory Architecture

In recent years, the rapid development of large language models (LLMs) has led to a growing consensus in the industry regarding the integration of long-term and short-term memory. However, the widespread application of long-term and short-term memory systems faces two significant challenges: increas...

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Bibliografiske detaljer

Principais autores:	Zongyu Ming, Zimu Wu, Genlang Chen
Format:	Artigo
Sprog:	Inglês
Udgivet:	MDPI AG 2025-03-01
Serier:	Information
Fag:	long-term memory short-term memory LLM chat scene
Online adgang:	https://www.mdpi.com/2078-2489/16/4/251
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