arXiv AI
Self-Organizing Agent Teams Learn to Reason Together
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Knowledge-Centric Self-Improvement
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Toward an Organizational Science of Multi-Agent LLM Systems: Decoupling Who, How, and Which Algorithm
arXiv:2607. 25446v1 Announce Type: new Abstract: Multi-agent frameworks built on large language models (LLMs) routinely entangle three logically distinct concerns: who is on the team (organization), how members align (coordination), and which algorithm fuses their work (collaboration protocol).
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