therem/CLEAR

CLEAR: Character Unlearning in Textual and Visual Modalities Abstract Machine Unlearning (MU) is critical for removing private or hazardous information from deep learning models. While MU has advanced significantly in unimodal (text or vision) settings, multimodal unlearning (MMU) remains underexplored due to the lack of open benchmarks for evaluating cross-modal data removal. To address this gap, we introduce CLEAR, the first open-source benchmark designed specifically… See the full description on the dataset page: https://huggingface.co/datasets/therem/CLEAR.

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