FIELD NOTES TOPIC

fairness benchmarking

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  1. Unlearning Under Imbalance: Benchmarking Fairness in Multimodal LLM Unlearning

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    Researchers propose FAIRGET, a Visual Question Answering benchmark to evaluate the effectiveness of unlearning (removing personal data from trained models) in multimodal large language models under unbalanced…