Arxiv Papers

[QA] When One LLM Drools, Multi-LLM Collaboration Rules

The paper advocates for multi-LLM collaboration to enhance reliability and representation in complex scenarios, arguing that a single LLM is insufficient for diverse data and skills.

https://arxiv.org/abs//2502.04506

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