Enhancing memory retrieval in generative agents through LLM-trained cross attention networks

IntroductionThe surge in the capabilities of large language models (LLMs) has propelled the development of Artificial General Intelligence (AGI), highlighting generative agents as pivotal components for emulating complex AI behaviors. Given the high costs associated with individually training LLMs f...

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Bibliographic Details
Main Authors: Chuanyang Hong, Qingyun He
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-05-01
Series:Frontiers in Psychology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fpsyg.2025.1591618/full
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