NVIDIA-NeMo / NVIDIA-NeMo/RL

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](https://paperswithcode.co/paper/2512.20856) and [23 verified paper-native evaluations](https://paperswithcode.co/paper/2512.20856#results) available on Papers with Code.

The paper has results on [Coding Agents](https://paperswithcode.co/tasks/coding-agents), [Agents](https://paperswithcode.co/tasks/agents), [Language Modeling](https://paperswithcode.co/tasks/language-modeling), and 5 additional task pages.

The Nemotron 3 Super result currently ranks first on [TauBench](https://paperswithcode.co/benchmark/taubench?task=agents&eval=7573).

The Nemotron 3 Super (256k) result currently ranks first on [RULER](https://paperswithcode.co/benchmark/ruler?task=language-modeling&eval=20136).

The Nemotron 3 Super results currently rank second on [LiveCodeBench (v5)](https://paperswithcode.co/benchmark/livecodebench-v5?task=coding-agents&eval=7568) and [WMT24++](https://paperswithcode.co/benchmark/wmt24pp?task=machine-translation&eval=7581).

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.

If you'd like to showcase the results in your repository README, you can copy these live leaderboard badges (or use the “Copy PwC badge” button in the Results section):

[![Papers with Code: SOTA on RULER](https://paperswithcode.co/api/v1/papers/2512.20856/leaderboard-badge.svg?eval=20136&live=1)](https://paperswithcode.co/api/v1/papers/2512.20856/leaderboard-badge-link?eval=20136)
[![Papers with Code: SOTA on TauBench](https://paperswithcode.co/api/v1/papers/2512.20856/leaderboard-badge.svg?eval=7573&live=1)](https://paperswithcode.co/api/v1/papers/2512.20856/leaderboard-badge-link?eval=7573)
[![Papers with Code: #2 on LiveCodeBench (v5)](https://paperswithcode.co/api/v1/papers/2512.20856/leaderboard-badge.svg?eval=7568&live=1)](https://paperswithcode.co/api/v1/papers/2512.20856/leaderboard-badge-link?eval=7568)
[![Papers with Code: #2 on WMT24++](https://paperswithcode.co/api/v1/papers/2512.20856/leaderboard-badge.svg?eval=7581&live=1)](https://paperswithcode.co/api/v1/papers/2512.20856/leaderboard-badge-link?eval=7581)
[![Papers with Code: #3 on AIME 2025](https://paperswithcode.co/api/v1/papers/2512.20856/leaderboard-badge.svg?eval=7583&live=1)](https://paperswithcode.co/api/v1/papers/2512.20856/leaderboard-badge-link?eval=7583)
[![Papers with Code: #3 on TauBench (airline)](https://paperswithcode.co/api/v1/papers/2512.20856/leaderboard-badge.svg?eval=7574&live=1)](https://paperswithcode.co/api/v1/papers/2512.20856/leaderboard-badge-link?eval=7574)

Kind regards,

Niels

Contributor guide

Open the contributing guide

Research direction

Start with the linked Papers with Code paper and its 23 verified paper-native evaluation rows, comparing them with the paper and official release artifacts. Check scores, model names, benchmark protocols, and openness metadata; done means reporting or correcting any discrepancies.

Written by the indexing model from the issue text.

Assessment

Tech stack
huggingface
Domain
documentation, machine-learning
Issue type
Documentation
Difficulty
4/5
Estimated time
3-5 days
Activity status
Quiet
Clarity
Mostly clear
Newbie friendliness
45/100

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