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/R1587061
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资源简介：
This table analyzes output-space LLM merging approaches that combine models through response-level aggregation instead of parameter manipulation. It details their fusion mechanisms, architectural constraints, training requirements, experimental setup, and baseline, clarifying the core design principles and efficiency trade-offs underlying output-level merging methods.
提供机构：
Open Research Knowledge Graph
创建时间：
2026-03-02
