Research Scientist @ NVIDIA
Yang Chen
I am an AI Research Scientist @ NVIDIA (ADLR Group) building Large Language Models. I received my Ph.D. from Georgia Tech in August 2024.
My current research interests lie in AI reasoning and scaling reinforcement learning for LLM reasoning.
Connect with me
Announcements
AceReason: Math and Code Reasoning through RL
TLDR: A math and code reasoning model trained entirely through RL. We found math-RL improves code reasoning and use it as a warm-up for code-RL to improve training stability and efficiency.
- AIME 2024: 78.6% (+8.9%)
- AIME 2025: 67.4% (+17.2%)
- LiveCodeBench v5: 61.1% (+8.1%)
- Codeforce: 2024 ELO (+543)
May 22, 2025
Announcements
AceMath-RL: Training Math Reasoning Model with RL
TLDR: A math reasoning model trained entirely through RL, starting from the Deepseek-R1-Distilled-Qwen-7B.
- AIME 2024: 69.0% (+13.5%)
- AIME 2025: 53.6% (+14.4%)
- LiveCodeBench v5: 44.4% (+6.8%)
We share our training recipe, training logs, and data curation details in the blog.
April 22, 2025
Announcements
AceMath: Advancing Frontier Math Reasoning with Post-Training and Reward Modeling
Hugginface (Models & Datasets)
Technical Report
Project Page
Dec 19th, 2024
Past Work
Multimodal LLM
Building AI that understand visual world
Multilingual LLM
Bridging representation across global languages
- Model Selection [EMNLP'21]
- Cross-lingual [ACL'23 Findings, ICLR'24, ACL'25]
- English-Arabic BERT [EMNLP'20]