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

Understand

Recent advances in large language models (LLMs) have sparked growing interest in building fully autonomous agents.

• However, fully autonomous LLM-based agents still face significant challenges, including limited reliability due to hallucinations, difficulty in handling complex tasks, and substantial safety and ethical risks, all of which limit their feasibility and trustworthiness in real-world applications.
• To overcome these limitations, LLM-based human-agent systems (LLM-HAS) incorporate human-provided information, feedback, or control into the agent system to enhance system performance, reliability, and safety.
• These human-agent collaboration systems enable humans and LLM-based agents to collaborate effectively by leveraging their complementary strengths.