HETEROGENEOUSSWARMS: Jointly Optimizing Model Roles and Weights for Multi-LLM Systems
–Neural Information Processing Systems
We propose HETEROGENEOUSSWARMS, an algorithm to design multi-LLM systems by jointly optimizing model roles and weights. We represent multi-LLM systems as directed acyclic graphs (DAGs) of LLMs with topological message passing for collaborative generation.
Neural Information Processing Systems
Jun-21-2026, 07:43:52 GMT
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- North America > United States (0.46)
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- Experimental Study (1.00)
- New Finding (0.67)
- Research Report
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