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About this paper
Jusheng Zhang, Yijia Fan, Kaitong Cai, Xiaofei Sun, Keze Wang
The OSC framework enhances multi-agent LLM collaboration by introducing dynamic knowledge alignment and adaptive communication, allowing agents to model collaborators' cognitive states and refine interactions. It achieves an 81.4% LC win rate on AlpacaEval 2.0 and an average score of 9.94 on MT-Bench, while reducing communication rounds to 4.6 and increasing conflict resolution to 89.5%.
Key insights
- Enabling agents to dynamically model and update their understanding of collaborators' cognitive states (knowledge, reasoning, confidence) is crucial for effective collaboration.
- Identifying and quantifying 'cognitive gaps' between agents' understanding allows for targeted and efficient communication, resolving discrepancies rapidly.
- An adaptive, learned communication strategy that selects objectives, targets, and styles based on dynamic cognitive state models significantly improves both task performance and communication efficiency.
Summary by alphaXiv.
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