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LLM-Based Autonomous Agents Survey

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LLM-Based Autonomous Agents Survey
Paper summary

A comprehensive survey of LLM-based autonomous agents covering construction and applications.

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Key points
01

Agent construction framework: Organizes autonomous agents by profile, memory, planning, and action components - the canonical modular view.

02

Application coverage: Reviews applications across social science, natural science, and engineering, showing the breadth of agent use cases in mid-2023.

03

Systematic literature review: Covers the explosion of agent papers following ReAct, AutoGPT, and similar early frameworks.

04

Evaluation landscape: Discusses evaluation approaches for autonomous agents, a notoriously difficult area compared to static LLM evaluation.

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