The paper defines attribute-level MLLM unlearning and proposes CLRP, but the method's headline forgetting gains on cloze are partly produced by test-time logit subtraction applied only to the forget and test sets.
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Toward Fine-Grained Forgetting:Attribute Unlearning for Multimodal Large Language Models
The paper defines attribute-level MLLM unlearning and proposes CLRP, but the method's headline forgetting gains on cloze are partly produced by test-time logit subtraction applied only to the forget and test sets.