hustvl / hustvl/DiffusionVL

Verify evals on Papers with Code

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Python
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Description

Hi,

Niels here from the open-source team at Hugging Face. Congratulations on your work!

I've made the paper and 7 verified paper-native evaluations available on Papers with Code.

The paper has results on Image Understanding and Mathematics task pages.

Would it be possible to verify these results and let me know if any score, model name, benchmark protocol, or openness metadata should be corrected? The imported rows are tied to the paper or its official release artifacts; comparison-table baselines were not added.

You can also edit the task, methods, project page, and GitHub URL directly from the paper page using your Hugging Face account.

Kind regards,

Niels

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First steps

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  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
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Research direction

Start with the linked paper and its seven paper-native evaluations on Papers with Code, then compare the imported scores, model names, benchmark protocols, and openness metadata with the paper and official release artifacts. Done means reporting any corrections needed; comparison-table baselines are explicitly out of scope.

Written by the indexing model from the issue text.

Assessment

Domain
documentation
Issue type
Documentation
Difficulty
3/5
Estimated time
1-2 days
Activity status
Quiet
Clarity
Mostly clear
Newbie friendliness
48/100

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