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Is there any relation between model merging and distillation(KD,OPD,...)?

Has there been any work exploring the connection between model merging and distillation-based methods(KD,OPD...)? I believe there should be a connection between methods based on parameter space and methods based on output distribution, which may help people understand LLMs.

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  1. 2026-10-07 16:01 · r/deeplearning
    Is there any relation between model merging and distillation(KD,OPD,...)?

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