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Paper · arXiv

DynaGraph: Lightweight Multi-Model Interaction Framework via Dynamic Topological Reconfiguration

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. To address this, we present DynaGraph, a lightweight multi-model framework driven by dynamic topological reconfiguration. At the execution level, DynaGraph multiplexes time-division PEFT adapters over a shared base model, enabli...

AuthorsYanxing Guo, Zihao Zheng, Fangzhou Wu et al.
Primary categorycs.MA
Published28 May 2026
Last updated at source29 May 2026
cs.MAcs.CLcs.LG
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