LLM Merging Methods in the weight space
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This table analyzes weight-space LLM merging approaches that operate directly on model parameters. It characterizes their architectural constraints, training requirements, computational cost, experimental setups, and baselines, providing a structured view of the methodological foundations and practical trade-offs of parameter-level merging strategies.
创建时间：
2026-03-02
