Papers with Multi-agent collaborative tasks

1 papers
Advancing Collaborative Debates with Role Differentiation through Multi-Agent Reinforcement Learning (2025.acl-long)

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Challenge: Multi-agent collaborative tasks exhibit exceptional capabilities in natural language applications and generation.
Approach: They propose a multi-LLM Cooperation framework with automatic role assignment capabilities that allows multiple agents to embed roles in turn-based speaking.
Outcome: The proposed framework improves collaboration and expertise among agents and teams by enabling them to share roles and develop complementary strengths from the optimization level.

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