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PECKER: A Precisely Efficient Critical Knowledge Erasure Recipe For Machine Unle
BACKGROUND
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8 Apr
PECKER: A Precisely Efficient Critical Knowledge Erasure Recipe For Machine Unlearning in Diffusion Models
REPORT · WHAT · ArXiv CS.AI
7.5
Other feeds and industry voices
20 May
Interference-Aware Multi-Task Unlearning
arXiv:2605.19042v1 Announce Type: new Abstract: Machine unlearning aims to remove the contribution of designated training data from a trained model while preserving performance on
REPORT · WHERE · ArXiv CS.AIOPEN STORY
15 Oct
Decoupling Knowledge Forgetting and Refusal Learning in MLLM Unlearning
arXiv:2610.14605v1 Announce Type: new Abstract: Current evaluations of multimodal unlearning typically focus on whether a model stops outputting target information. This
REPORT · WHAT · ArXiv CS.AIOPEN STORY
29 Jun
Position: The Term "Machine Unlearning" Is Overused in LLMs
arXiv:2606.27379v1 Announce Type: cross Abstract: Large language models increasingly face demands to "forget" training data, knowledge, or behaviors due to regulatory deletion
REPORT · WHAT · ArXiv CS.AIOPEN STORY
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