CoVUBench is the first benchmark framework for evaluating multimodal copyright unlearning in LVLMs via synthetic data, systematic variations, and a dual protocol for forgetting efficacy and utility preservation.
arXiv preprint arXiv:2502.02496 , year=
2 Pith papers cite this work. Polarity classification is still indexing.
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mlr3torch introduces an extensible deep learning framework in R that integrates torch models into the mlr3 ecosystem via graph-based architectures for classification, regression, and multimodal tasks.
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Erase Persona, Forget Lore: Benchmarking Multimodal Copyright Unlearning in Large Vision Language Models
CoVUBench is the first benchmark framework for evaluating multimodal copyright unlearning in LVLMs via synthetic data, systematic variations, and a dual protocol for forgetting efficacy and utility preservation.
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mlr3torch: A Deep Learning Framework in R based on mlr3 and torch
mlr3torch introduces an extensible deep learning framework in R that integrates torch models into the mlr3 ecosystem via graph-based architectures for classification, regression, and multimodal tasks.