Self-evolving Agents with reflective and memory-augmented abilities

Fuente: arXiv
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Main Authors: Liang, Xuechen, He, Yangfan, Xia, Yinghui, Song, Xinyuan, Wang, Jianhui, Tao, Meiling, Sun, Li, Yuan, Xinhang, Su, Jiayi, Li, Keqin, Chen, Jiaqi, Yang, Jinsong, Chen, Siyuan, Shi, Tianyu
Format: Preprint
Published: 2024
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author Liang, Xuechen
He, Yangfan
Xia, Yinghui
Song, Xinyuan
Wang, Jianhui
Tao, Meiling
Sun, Li
Yuan, Xinhang
Su, Jiayi
Li, Keqin
Chen, Jiaqi
Yang, Jinsong
Chen, Siyuan
Shi, Tianyu
author_facet Liang, Xuechen
He, Yangfan
Xia, Yinghui
Song, Xinyuan
Wang, Jianhui
Tao, Meiling
Sun, Li
Yuan, Xinhang
Su, Jiayi
Li, Keqin
Chen, Jiaqi
Yang, Jinsong
Chen, Siyuan
Shi, Tianyu
contents Large language models (LLMs) have made significant advances in the field of natural language processing, but they still face challenges such as continuous decision-making. In this research, we propose a novel framework by integrating iterative feedback, reflective mechanisms, and a memory optimization mechanism based on the Ebbinghaus forgetting curve, it significantly enhances the agents' capabilities in handling multi-tasking and long-span information.
format Preprint
id arxiv_https___arxiv_org_abs_2409_00872
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Self-evolving Agents with reflective and memory-augmented abilities
Liang, Xuechen
He, Yangfan
Xia, Yinghui
Song, Xinyuan
Wang, Jianhui
Tao, Meiling
Sun, Li
Yuan, Xinhang
Su, Jiayi
Li, Keqin
Chen, Jiaqi
Yang, Jinsong
Chen, Siyuan
Shi, Tianyu
Computation and Language
Large language models (LLMs) have made significant advances in the field of natural language processing, but they still face challenges such as continuous decision-making. In this research, we propose a novel framework by integrating iterative feedback, reflective mechanisms, and a memory optimization mechanism based on the Ebbinghaus forgetting curve, it significantly enhances the agents' capabilities in handling multi-tasking and long-span information.
title Self-evolving Agents with reflective and memory-augmented abilities
topic Computation and Language
url https://arxiv.org/abs/2409.00872