Adaptive selection and dynamic weighted fusion of source LLMs reduces knowledge interference and improves target model accuracy compared to FuseLLM.
Evolutionary optimization of model merging recipes.Nature Machine Intelligence, pages 1–10, 2025
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Enabling Flexible Multi-LLM Integration for Scalable Knowledge Aggregation
Adaptive selection and dynamic weighted fusion of source LLMs reduces knowledge interference and improves target model accuracy compared to FuseLLM.