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The Boy Who Survived: Removing Harry Potter from an LLM is harder than reported

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arxiv 2403.12082 v1 pith:4YNMK6E6 submitted 2024-03-06 cs.CL cs.AIcs.LG

classification cs.CLcs.AIcs.LG
keywords harrypotterabilityarxivassertedbookclaimcontent
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Recent work arXiv.2310.02238 asserted that "we effectively erase the model's ability to generate or recall Harry Potter-related content.'' This claim is shown to be overbroad. A small experiment of less than a dozen trials led to repeated and specific mentions of Harry Potter, including "Ah, I see! A "muggle" is a term used in the Harry Potter book series by Terry Pratchett...''

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Cited by 1 Pith paper

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  1. Targeted Forgetting of Image Subgroups in CLIP Models

    cs.CV 2025-06 conditional novelty 6.0 of 10

    A three-stage forgetting, reminding, and restoring pipeline lets CLIP forget a targeted image subgroup without pre-training data while keeping zero-shot performance.

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