Bingxing Wang

AgentDropout: Dynamic Redundancy Elimination for Multi-Agent Collaboration Efficiency

AgentDropout is a dynamic strategy inspired by dropout regularization in neural networks, which selectively deactivates low-contribution agents during multi-agent collaboration, suggesting that dynamic agent deactivation may be useful for deploying multi-agent LLM systems under computational budget constraints.