AI RESEARCH
DynaGraph: Lightweight Multi-Model Interaction Framework via Dynamic Topological Reconfiguration
arXiv CS.LG
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ArXi:2605.29511v1 Announce Type: cross Tackling complex reasoning tasks typically relies on massive monolithic LLMs, which suffer from severe computational redundancy. While task decomposition through structured pipelines or multi-agent collaborations offers an alternative, these approaches inevitably fall into a critical dilemma: predefined static topologies are highly vulnerable to cascading errors, whereas unconstrained dynamic agents suffer from trajectory divergence and unpredictable memory bloat.