Sigen Chen

SafeSieve: From Heuristics to Experience in Progressive Pruning for LLM-based Multi-Agent Communication

LLM-based multi-agent systems exhibit strong collaborative capabilities but often suffer from redundant communication and excessive token overhead. Existing methods typically enhance efficiency through pretrained GNNs or greedy algorithms, but often isolate pre- and post-task optimization, lacking a