AI RESEARCH
Communication Enables Cooperation in LLM Agents: A Comparison with Curriculum-Based Approaches
arXiv CS.LG
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ArXi:2510.05748v3 Announce Type: replace Eliciting cooperation in multi-agent LLM systems is critical for AI alignment. We investigate two approaches: direct communication and curriculum learning. In a 4-player Stag Hunt, a one-word "cheap talk" channel increases cooperation from 0% to 96.7%, nstrating communication as a robust coordination mechanism.