argmaxxer/FAIRGET

Unlearning Under Imbalance: Benchmarking Fairness in Multimodal LLM Unlearning Abstract Machine unlearning has emerged as a tool for removing personal data from trained models to comply with recent AI regulations. To evaluate unlearning effectiveness in multimodal large language models (MLLMs), prior works fine-tune models on fictitious identities, simulating unlearning requests on subsets of these IDs, which are typically uniformly distributed. However, in… See the full description on the dataset page: https://huggingface.co/datasets/argmaxxer/FAIRGET.

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