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pith:2024:4SMRDMDDARPSYWQWNHXVSGYMRW
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Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security

Fan Zhang, Guanjing Xiong, Guohong Liu, Hanfei Geng, Hao Wen, Jiacheng Liu, Jian Luan, Mengwei Xu, Peng Li, Rui Kong, Weijun Wang, Wenxing Xu, Xiang Li, Xiang Wang, Xiangyu Li, Xuefeng Jin, Yang Liu, Ya-Qin Zhang, Yile Wang, Yi Sun, Yizhen Yuan, Yuanchun Li, Yunxin Liu, Zhijun Li, Zilong Ye

Personal LLM Agents will become the dominant software paradigm for end-users through deep integration with personal data and devices.

arxiv:2401.05459 v2 · 2024-01-10 · cs.HC · cs.AI · cs.SE

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Claims

C1strongest claim

We envision that Personal LLM Agents will become a major software paradigm for end-users in the upcoming era.

C2weakest assumption

That foundation models represented by LLMs bring new opportunities because of their powerful semantic understanding and reasoning capabilities that enable agents to solve complex problems autonomously.

C3one line summary

This survey discusses key components and challenges for Personal LLM Agents and reviews solutions for their capability, efficiency, and security.

References

299 extracted · 299 resolved · 26 Pith anchors

[1] Apple. Siri. https://www.apple.com/siri/, 2023. [Online; accessed December 26, 2023] 2023
[2] Google assistant for android 2023
[3] Amazon. Alexa. https://www.alexa.com, 2023. [Online; accessed December 26, 2023] 2023
[4] Mapping natural language instructions to mobile ui action sequences, 2020 2020
[5] Glider: A reinforcement learning approach to extract ui scripts from websites 2021 · doi:10.1145/3404835.3462905

Formal links

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Cited by

30 papers in Pith

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First computed 2026-05-17T23:38:46.057016Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

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e49911b063045f2c5a1669ef591b0c8da0b8322941c43252075a8f8097353437

Aliases

arxiv: 2401.05459 · arxiv_version: 2401.05459v2 · doi: 10.48550/arxiv.2401.05459 · pith_short_12: 4SMRDMDDARPS · pith_short_16: 4SMRDMDDARPSYWQW · pith_short_8: 4SMRDMDD
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/4SMRDMDDARPSYWQWNHXVSGYMRW \
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# expect: e49911b063045f2c5a1669ef591b0c8da0b8322941c43252075a8f8097353437
Canonical record JSON
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