Enhancing Multi-Agent Communication through Attention Steering with Context Relevance 事件

Enhancing Multi-Agent Communication through Attention Steering with Context Relevance arXiv:2605.30136v1 Announce Type: new Abstract: LLM-based multi-agent systems have demonstrated remarkable performance on complex tasks through collaborative reasoning. However, these systems tend to rapidly accumulate extremely long conversation histories during interaction. As conversations lengthen, relevant information is increasingly diluted by irrelevant context, leading to degraded performance. In this