NVIDIA-NeMo / NVIDIA-NeMo/ProRL-Agent-Server

Verify evals on Papers with Code

Open
#54 0 comments 0 reactions 0 assignees View on GitHub

Nobody has claimed this yet.

Dominant language
Python
Stars
841
Forks
92
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 1 paper-native evaluation available on Papers with Code.

The paper is part of the Coding Agents 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

No contributing guide indexed for this repository

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 at the Papers with Code page for paper 2605.24220 and compare its imported results with the paper and official release artifacts. Verify the scores, model names, benchmark protocol, and openness metadata; done means confirming the entries or identifying corrections for the maintainers.

Written by the indexing model from the issue text.

Assessment

Domain
content, documentation
Issue type
Documentation
Difficulty
3/5
Estimated time
1-2 days
Activity status
Active
Clarity
Needs clarification
Newbie friendliness
35/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.