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LLM-Agent-Paper-List

A comprehensive paper list on Large Language Model based agents, detailing their construction, applications, and societal implications.

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Introduction

LLM-Agent-Paper-List

The LLM-Agent-Paper-List is a curated repository that provides a systematic and comprehensive survey of papers related to Large Language Model (LLM) based agents. This repository is designed to support researchers and practitioners in the field of artificial intelligence by offering a collection of must-read papers that explore various aspects of LLM-based agents, including their construction, applications, and societal implications.

Key Features:
  • Comprehensive Paper List: A well-organized list of significant research papers on LLM-based agents, categorized for easy navigation.
  • Thematic Organization: Papers are organized into thematic sections, covering topics such as agent construction, applications, and societal behavior.
  • Regular Updates: The repository is actively maintained, with new papers added regularly to keep the content current and relevant.
Benefits:
  • Resource for Researchers: A valuable resource for researchers looking to explore the latest advancements in LLM-based agents.
  • Educational Tool: Serves as an educational tool for students and professionals interested in understanding the potential and challenges of LLMs in agent-based applications.
  • Community Contributions: Encourages contributions from the community, fostering collaboration and knowledge sharing.
Highlights:
  • The repository includes papers that discuss the construction of LLM-based agents, their applications in various fields, and the social dynamics of agent societies.
  • It emphasizes the importance of understanding the behavior and personality traits of LLM-based agents, as well as their implications for human society.
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Information

  • Publisher
    AISecKit
  • Websitegithub.com
  • Published date2025/04/26

Categories

  • AI Application Platforms
  • AI Research Papers
  • AI Communities

Tags

  • AI Ethics
  • LLM
  • Multimodal AI
  • Agents
  • Generative AI

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