LLM Merging Methods in the output space
收藏DataCite Commons2026-03-02 更新2026-05-04 收录
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https://orkg.org/comparison/R1587055
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资源简介：
This table examines output-space LLM merging methods, where models are integrated at the level of generated responses rather than internal parameters. It analyzes fusion strategies, architectural assumptions, training dependencies, and computational cost, highlighting the design principles underlying techniques.
提供机构：
Open Research Knowledge Graph
创建时间：
2026-03-02
