Evaluation Setting of Merging Large Language Models with Heterogeneous Architecture
收藏DataCite Commons2026-02-26 更新2026-05-04 收录
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https://orkg.org/comparison/R1586484
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资源简介：
This comparison table presents the experimental evaluation settings used for merging large language models with heterogeneous architectures, including the datasets, tasks, architecture, evaluation metrics, model combinations, and baseline methods employed to assess merging performance.
提供机构：
Open Research Knowledge Graph
创建时间：
2026-02-26
