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Vector Storage Based Long-term Memory Research on LLM Cover
By: Kun Li,  Xin Jing and  Chengang Jing  
Open Access
|Sep 2024

Figures & Tables

Figure 1.

VIMBank Framework
VIMBank Framework

Figure 2.

Different types of memory
Different types of memory

Figure 3.

Retrieval memory
Retrieval memory

Figure 4.

Examples from different task sets
Examples from different task sets

Experimental results on various datasets

DataSetModelNoAgentReActInterActVIMBank
ALFWorldQwen2-7b48.854.760.172.3
ChatGLM346.249.255.864.9
HotpotQAQwen2-7b51.657.363.476.3
ChatGLM345.951.859.771.5
KAgentBenchQwen2-7b34.248.552.658.7
ChatGLM332.644.746.354.2

Reasoning cost of ALFWorld environment

2006001000
NoAgent63.2K164.7K334.7K
VIMBank56.8K142.6K258.3K

Experimental Environment

Experimental EnvironmentVersion
CPUIntel Core i9-10900K
GPUNVIDIA Tesla V100 PCIe
32G
LanguagePython 3.9
FrameworkLangChain
Language: English
Page range: 69 - 79
Published on: Sep 30, 2024
Published by: Xi’an Technological University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2024 Kun Li, Xin Jing, Chengang Jing, published by Xi’an Technological University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.