πŸ“„
Nemotron-Cascade 2: Post-Training LLMs with Cascade RL and Multi-Domain On-Policy Distillation paper by Zhuolin Yang
⭐ 34.5
πŸ“„
Paper

Nemotron-Cascade 2: Post-Training LLMs with Cascade RL and Multi-Domain On-Policy Distillation

by Zhuolin Yang arxiv/2603.19220
Free2AITools Nexus Index
34.5
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 0
R: Recency 64
Q: Quality 60
Tech Context
Vital Performance —

We introduce Nemotron-Cascade 2, an open 30B MoE model with 3B activated parameters that delivers best-in-class reasoning and strong agentic capabilities. Despite its compact size, its mathematical and coding reasoning performance approaches that of frontier open models. It is the second open-weight LLM, after DeepSeekV3.2-Speciale-671B-A37B, to achieve Gold Medal-level performance in the 2025 International Mathematical Olympiad (IMO), the International Olympiad in Informatics (IOI), and the ...

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Registry ID 2603.19220
License arXiv
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Academic & Research Attribution

BibTeX 
@misc{arxiv_2603_19220,
  author = {Zhuolin Yang},
  title = {Nemotron-Cascade 2: Post-Training LLMs with Cascade RL and Multi-Domain On-Policy Distillation Paper},
  year = {2026},
  howpublished = {\url{https://arxiv.org/abs/2603.19220}},
  note = {Accessed via Free2AITools.}
}
APA Style
Zhuolin Yang. (2026). Nemotron-Cascade 2: Post-Training LLMs with Cascade RL and Multi-Domain On-Policy Distillation [Paper]. Free2AITools. https://arxiv.org/abs/2603.19220

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βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 0
Popularity (P) 0
Recency (R) 64
Quality (Q) 60

πŸ’¬ Index Insight

FNI V2.0 for Nemotron-Cascade 2: Post-Training LLMs with Cascade RL and Multi-Domain On-Policy Distillation: Authority (A:0), Popularity (P:0), Recency (R:64), Quality (Q:60). Semantic (S) is a query-time baseline scored live at search.

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πŸ“ Executive Summary

"We introduce Nemotron-Cascade 2, an open 30B MoE model with 3B activated parameters that delivers best-in-class reasoning and strong agentic capabilities. Despite its compact size, its mathematical and coding reasoning performance approaches that of frontier open models. It is the second open-weight LLM, after DeepSeekV3.2-Speciale-671B-A37B, to achieve Gold Medal-level performance in the 2025 International Mathematical Olympiad (IMO), the International Olympiad in Informatics (IOI), and the ..."

❝ Cite Node 

@article{Yang2026Nemotron-Cascade,
  title={Nemotron-Cascade 2: Post-Training LLMs with Cascade RL and Multi-Domain On-Policy Distillation},
  author={Zhuolin Yang},
  journal={arXiv preprint arXiv:2603.19220},
  year={2026}
}

πŸ‘₯ Collaborating Minds

Zhuolin Yang

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πŸ“Š Research Signals

πŸ“…1970Published
⏱️64RecencyFNI pillar
βœ…60QualityFNI pillar
πŸ—‚οΈcs.CLField

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πŸ†” Identity & Source

id
2603.19220
slug
2603.19220
source
arxiv
author
Zhuolin Yang
license
arXiv
tags
arxiv:cs.CL, arxiv:cs.AI, arxiv:cs.LG, llm

βš™οΈ Technical Specs

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null
params billions
null
context length
null
pipeline tag

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