• With prolonged debate, LLM’s limited context cannot process the entire input.
• In a multi-agent environment, computational overhead significantly increases.
• Multi-agent negotiation may converge to an incorrect consensus, and all agents are firmly convinced

of its accuracy [111].

The development of multi-agent systems is still far from being mature and feasible. Introducing
human guides when appropriate to compensate for agents’ shortcomings is a good choice to promote
the further advancements of agents.

4.3

Interactive Engagement between Human and Agent

Human-agent interaction, as the name suggests, involves agents collaborating with humans to accom-
plish tasks. With the enhancement of agent capabilities, human involvement becomes progressively
essential to effectively guide and oversee agents’ actions, ensuring they align with human require-
ments and objectives [455; 456]. Throughout the interaction, humans play a pivotal role by offering

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TheRiseandPotentialofLargeLanguageModel BasedAgents