OpenBMB / OpenBMB/DeepThinkVLA
Verify evals on Papers with Code
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- Dominant language
- Python
- Stars
- 530
- Forks
- 50
- PR merge metrics
- No merged PRs in 30d
Description
Hi,
Niels here from the open-source team at Hugging Face. Congratulations on your work!
I've made the paper and 6 paper-native evaluations available on Papers with Code.
The paper is part of the Robotics 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
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with the linked paper on Papers with Code and review its six paper-native evaluation rows, checking the score, model name, benchmark protocol, and openness metadata against the paper and official release artifacts. Use the paper page's task, methods, project, and GitHub links as needed; done means reporting any corrections or confirming that the imported results are accurate.
Written by the indexing model from the issue text.
Assessment
- Domain
- documentation, machine-learning, robotics
- Issue type
- Documentation
- Difficulty
- 3/5
- Estimated time
- Half a day
- Activity status
- Active
- Clarity
- Mostly clear
- Newbie friendliness
- 58/100