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1. mismatched machine unlearning
Title: Decoupling the Class Label and the Target Concept in Machine Unlearning
arXiv: https://arxiv.org/abs/2406.08288
2. evaluation of LLM unlearning
Title: Unl…
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The new paper about LLM Unlearning Benchmark (parametric-based)
Arxiv: arxiv.org/abs/2406.11614
Website: https://yihuaihong.github.io/ConceptVectors.github.io/
Github: https://github.com/yihuaihon…
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Hi, thanks for your work. I also agree with the value of LLM unlearning in privacy-preserving since I also work on the unlearning of Federated Learning scenario. However, I just tested a simple case a…
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# Experiments
Idea: Repeat most of the unlearning experiments (continuous, batch, sequential) with harmfulness and evaluate. Based on the results decide the best hyperparameters for unlearning fren…
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## Why
Machine Learning 輪講は最新の技術や論文を追うことで、エンジニアが「技術で解決できること」のレベルをあげていくことを目的にした会です。
prev. https://github.com/wantedly/machine-learning-round-table/issues/230
## What
話したいことがある人はここにコメントしましょう…
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Hi,
Thank you very much for your great repo. That really helped me quickly learn the most related work about LLM unlearning. After that, I would like to ask the main difference between the LLM unle…
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Hi,
very solid and useful works.
In this [repository](https://github.com/dave1010/tree-of-thought-prompting) they suggest an approach similar to tree-of-thoughts but which should be done in one …
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Thanks for the great work. I tried to reproduce the retrained ViT model in CIFAR-20 class unlearning scenario but has encountered some problems..
1. for ViT model i am unable to reproduce results a…
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Hi, I noticed that there is a typo in the _Note_ part:
If you believe your paper on **LLM unlearning** is not included, or if you find a mistake, typo, or information that is not up to date, please…