Docs: Add "Unlearning Comparator" as a related resource for small-scale prototyping

[gnueaj]

Thank you for creating and maintaining this excellent repository. it’s a tremendous service to the community.

I’m the first author of the paper and system “Unlearning Comparator” (a visualization tool for comparing unlearning methods on vision classification). Many researchers start by prototyping ideas in simpler setups before scaling to LLM-focused benchmarks; the tool is meant to support that first step.

Change summary:
If you are new to unlearning or want to prototype on small-scale vision tasks first, try Unlearning Comparator
— an interactive system to visualize and compare unlearning methods. Insights gained here can be used to robustly scale up to the LLM-focused benchmarks in this repo.

Placement:
under 📚 Further Documentation, directly below the table and above Support & Contributors.

Links:
Repo: Machine-Unlearning-Comparator
Paper: arXiv under TVCG revision

I’ve kept the wording minimal and avoided listing it as a core component to respect the repo’s LLM scope. I’m happy to adjust the phrasing or placement if you prefer something different.

Thank you for your consideration!

Best Regards,
Jaeung Lee

[molereddy]

Hi, congratulations on the great work!
Like other related works I think this should go in the links page of our docs https://github.com/locuslab/open-unlearning/blob/main/docs/links.md#-useful-links
Can you shift it there?

[gnueaj]

Moved the link as requested and updated links.md accordingly. Thanks!