NVlabs / NVlabs/AutoGaze

Verify evals on Papers with Code

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Dominant language
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 5 verified paper-native evaluations available on Papers with Code.

The paper is part of the Video Understanding task page.

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

Contributor guide

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First steps

  1. Read the whole issue, then the project's contributing guide.
  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.
  4. Open a pull request that references the issue number.

Research direction

Start with the linked Papers with Code paper, its five verified evaluations, and the project's official paper or release artifacts. Compare each imported score, model name, benchmark protocol, and openness metadata, then report any corrections or confirm that the entries are accurate.

Written by the indexing model from the issue text.

Assessment

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

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