I have a question for DRM false memory based on the Jamieson (2023) paper how Minerva 2 models will perform differently than beagle in term of word similarity to induce false memory ? Also why number of words associated with a word will perform better at DRM false memory and lastly what are other possible manipulation to have a better performence in DRM false memory task

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