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LLM-Based Human-Agent Collaboration and Interaction Systems: A Survey logo

LLM-Based Human-Agent Collaboration and Interaction Systems: A Survey

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Survey and curated resources on LLM human-agent collaboration systems.

Autonomous AgentsGeneral-Purpose 222Open source
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Updated 2026-06-16
LLM-Based Human-Agent Collaboration and Interaction Systems: A Survey GitHub repository

What is LLM-Based Human-Agent Collaboration and Interaction Systems: A Survey?

The project centers on a comprehensive arXiv survey examining interactive systems where humans supply information, feedback, or oversight to LLM-powered agents. It compiles recent research papers, datasets, and repositories across domains such as web navigation, coding, robotics, and healthcare while providing a structured taxonomy of human feedback, interaction patterns, orchestration, and communication methods.

Users explore categorized lists of latest papers with direct links to arXiv and GitHub implementations. The repository emphasizes complementary human-AI strengths to improve reliability and ethical alignment rather than pursuing full autonomy.

Intended for AI researchers, graduate students, and developers seeking organized references and emerging benchmarks in human-AI teaming.

What you can build with LLM-Based Human-Agent Collaboration and Interaction Systems: A Survey

Web Navigation Research

Access papers and benchmarks evaluating interruptible agents that respond to real-time human corrections during long-horizon browsing tasks.

Collaborative Coding

Review datasets and methods for measuring human-AI synergy when developers and LLM agents jointly write and debug software.

Embodied AI Applications

Find robotics-focused studies where humans provide guidance to improve safety and task success in physical environments.

Install LLM-Based Human-Agent Collaboration and Interaction Systems: A Survey

Install
git clone https://github.com/HenryPengZou/Awesome-Human-Agent-Collaboration-Interaction-Systems
  1. 1Visit the GitHub repository page and copy the clone URL.
  2. 2Run git clone in your terminal to download the full collection locally.
  3. 3Open the README.md file to browse the table of contents and taxonomy sections.
  4. 4Follow arXiv links in the latest papers list to read individual studies.
  5. 5Submit a pull request with new relevant papers to contribute updates.

LLM-Based Human-Agent Collaboration and Interaction Systems: A Survey: pros & cons

Pros

  • +Extensive curated list of recent papers with direct links
  • +Clear taxonomy covering feedback, interaction, and orchestration
  • +Regular updates and open contributions welcomed
  • +Covers diverse real-world application domains

Cons

  • –Primarily a literature collection rather than runnable software
  • –Requires external reading of linked papers for implementation details
  • –Focus remains academic with limited production code examples
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Frequently asked questions

No, it is a survey repository collecting research papers and resources on human-agent collaboration rather than providing deployable code.

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