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Hi, I have questions about the dataset and codes:
1. There are "QA" and "unrelated QA" keys in the ConceptVectors dataset, but only questions are included. How can it be unlearned and evaluated wit…
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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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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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Hi,
Thank you for releasing the code. I have questions regarding padding and attention mask implementation.
1. How would you ideally want to set the tokenizer's padding side as? Is it to `left`…
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Thank you for your inspiring work and open-source codes!
But I have a question that how can I get the finetuned model before unlearning? It seems that there is only scripts for forgetting in this rep…
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[paper](https://arxiv.org/pdf/2104.08691.pdf)
[code](https://github.com/google-research/prompt-tuning)
[code2](https://github.com/google-research/text-to-text-transfer-transformer/blob/main/released…
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Hi, Dear manager,
I would like to know whether you would be willing to add our new paper: **Intrinsic Evaluation of Unlearning Using Parametric Knowledge Traces**.
We believe that the knowledge vec…
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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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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…