NVIDIA-NeMo / NVIDIA-NeMo/Curator
Verify evals on Papers with Code
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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 8 paper-native evaluations available on Papers with Code.
The paper has results on Image Understanding, Document Understanding, and OCR task pages.
The Nemotron Nano V2 VL (Reasoning off) result currently ranks fourth on MMLongBench-Doc.
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?
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
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
Review the paper and its eight linked evaluations on Papers with Code, including the Image Understanding, Document Understanding, OCR, and MMLongBench-Doc pages. Verify the scores, model name, benchmark protocol, and openness metadata; done means reporting any corrections or confirming the published results.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- huggingface
- Domain
- documentation
- Issue type
- Documentation
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Active
- Clarity
- Mostly clear
- Newbie friendliness
- 48/100