M3Bench is a clinically grounded benchmark showing that gradient-based VLM editors generalize but break locality, while memory-based editors preserve locality but fail on composition and temporal tasks, with failures traced to anisotropic latent representations.
Journal of medical Internet research26, e59505 (2024)
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Evaluating and Understanding Model Editing for Medical Vision Language Models
M3Bench is a clinically grounded benchmark showing that gradient-based VLM editors generalize but break locality, while memory-based editors preserve locality but fail on composition and temporal tasks, with failures traced to anisotropic latent representations.