Yang Chen

@ychenNLP

Research Scientist @NVIDIA | PhD @GeorgiaTech| RL and LLM reasoning

edchengg.github.io

Joined September 2018

510 Following

1,288 Followers

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Yang Chen
@ychenNLP
Mar 23
We released Nemotron Cascade 2 30B A3B. What makes this release especially meaningful to me is that it reflects a 1.5-year journey at NVIDIA around one core idea: improving AI math reasoning through self-improvement at test time. Each project tackled a different part of that
Wei Ping
@_weiping
Mar 20
🚀 Introducing Nemotron-Cascade 2 🚀 Just 3 months after Nemotron-Cascade 1, we’re releasing Nemotron-Cascade 2: an open 30B MoE with 3B active parameters, delivering best-in-class reasoning and strong agentic capabilities. 🥇 Gold Medal-level performance on IMO 2025, IOI
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Yang Chen
@ychenNLP
Sep 24
Thrilled that Nemotron-Cascade has been accepted as an Oral at #NeurIPS2026! 🎉 It's our fully open-source RL recipe for LLM post-training. Huge thanks to all my amazing teammates at @nvidia. model+data: huggingface.co/collections/nv…
Yang Chen
@ychenNLP
Dec 16, 2025
🥈 Silver Medal at IOI 2025 & Outperforms DeepSeek-R1-0528 on LiveCodeBench. Instead of mixing different tasks together, we scale *Cascade RL* to develop general LLMs in curriculum (RLFH -> Instruct -> Math -> Code -> SWE). So many learnings, check out our report!👇
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Yang Chen
@ychenNLP
Jul 8
📢Excited to share a best-in-class end-to-end audio LLM that listen and speak with no loss in reasoning capability. Building on Nemotron-Cascade-2, Audex tackles the core challenge that has bottlenecked audio model intelligence. Check more details below!
Wei Ping
@_weiping
Jul 7
🚀 Introducing Audex, a unified audio-text LLM for text, speech, sound, and music 🚀 🏆 Audex delivers best-in-class performance among open models across: 🎧 Audio understanding 🗣️ Speech recognition and translation 🔊 Text-to-speech 🎵 General audio generation 🔄
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Yang Chen
@ychenNLP
Apr 8
amazing! observed this think long --> compress --> think long trend during the nemotron-cascade math rl training on a 14B model last year i thought the training collapse somehow but the next day it recovered!😳
Ananya Kumar
@ananyaku
Apr 8
Replying to @ananyaku @shengjia_zhao and @alexandr_wang
3/ Large scale RL can be prone to instability, but after a lot of hard work the RL runs look smooth as shown in the first figure. During RL training, the model can alternate between phases of getting smarter, and thought compression, which was pretty neat
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Yang Chen
@ychenNLP
Mar 24
so proud!🔥🔥🔥
Bryan Catanzaro
@ctnzr
Mar 24
Thank you to everyone in the community who is testing and using Nemotron models. It's great to see Nemotron-Cascade-2, Nemotron-3-Super and Nemotron-3-Nano trending on HF. The Nemotron team is working hard to incorporate all your feedback into Nemotron 4. And yes, Nemotron 3

Yang Chen

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