Mingjie Liu

Researcher, Research, NVIDIA

Joined

February 2020

Names

Mingjie Liu (Preferred)

Emails

****@utexas.edu (Confirmed)

****@nvidia.com (Confirmed)

****@umich.edu (Confirmed)

Personal Links

Google Scholar

DBLP

Career & Education History

Researcher

Research, NVIDIA (nvidia.com)

2022 – Present

PhD student

Electrical and Computer Engineering, University of Texas, Austin (utexas.edu)

2018 – 2022

Advisors, Relations & Conflicts

PhD Advisor

David Z. Pan

2018 – 2022

Expertise

Large Language Models

Reasoning

Agents

2022 – Present

Electronic Design Automation

2018 – 2022

Publications

GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
Shih-Yang Liu, Xin Dong, Ximing Lu, Shizhe Diao, Peter Belcak, Mingjie Liu, Min-Hung Chen, Hongxu Yin, Yu-Chiang Frank Wang, Kwang-Ting Cheng, Yejin Choi, Jan Kautz, Pavlo Molchanov
- CoRR 2026
- Readers: Everyone
Golden Goose: A Simple Trick to Synthesize Unlimited RLVR Tasks from Unverifiable Internet Text
Ximing Lu, David Acuna, Jaehun Jung, Jian Hu, Di Zhang, Shizhe Diao, Yunheng Zou, Shaokun Zhang, Brandon Cui, Mingjie Liu, Hyunwoo Kim, Prithviraj Ammanabrolu, Jan Kautz, Yi Dong, Yejin Choi
- CoRR 2026
- Readers: Everyone
Revisiting VerilogEval: A Year of Improvements in Large-Language Models for Hardware Code Generation
Nathaniel Ross Pinckney, Christopher Batten, Mingjie Liu, Haoxing Ren, Brucek Khailany
- ACM Trans. Design Autom. Electr. Syst. 2025
- Readers: Everyone
ToolOrchestra: Elevating Intelligence via Efficient Model and Tool Orchestration
Hongjin SU, Shizhe Diao, Ximing Lu, Mingjie Liu, Jiacheng Xu, Xin Dong, Yonggan Fu, Peter Belcak, Hanrong Ye, Hongxu Yin, Yi Dong, Evelina Bakhturina, Tao Yu, Yejin Choi, Jan Kautz, Pavlo Molchanov
- Submitted to ICLR 2026
- Readers: Everyone
Can LLMs Design Real Hardware? A New Benchmark for RTL Design and Verification Tasks
Nathaniel Pinckney, Chenhui Deng, Chia-Tung Ho, Yun-Da Tsai, Mingjie Liu, Wenfei Zhou, Brucek Khailany, Haoxing Ren
- Submitted to ICLR 2026
- Readers: Everyone
BroRL: Scaling Reinforcement Learning via Broadened Exploration
Jian Hu, Mingjie Liu, Ximing Lu, Fang Wu, Zaid Harchaoui, Shizhe Diao, Yejin Choi, Pavlo Molchanov, Jun Yang, Jan Kautz, Yi Dong
- Submitted to ICLR 2026
- Readers: Everyone
DLER: Doing Length pEnalty Right — Incentivizing More Intelligence per Token via Reinforcement Learning
Shih-Yang Liu, Xin Dong, Ximing Lu, Shizhe Diao, Mingjie Liu, Min-Hung Chen, Hongxu Yin, Yu-Chiang Frank Wang, Kwang-Ting Cheng, Yejin Choi, Jan Kautz, Pavlo Molchanov
- Submitted to ICLR 2026
- Readers: Everyone
TinyEye: Sharpening Visual Reasoning of Tiny Models with Offline Policy Optimization
Di Zhang, Junxian Li, Shihao Wang, Weida Wang, Guo Chen, Hao Zhang, Shizhe Diao, Mingjie Liu, Ximing Lu, Jaehun Jung, Jian Hu, Karan Sapra, Wanli Ouyang, Andrew Tao, Yejin Choi, Jan Kautz, Guilin Liu, Yi Dong, Zhiding Yu
- Submitted to ICLR 2026
- Readers: Everyone
The Invisible Leash? Why RLVR May or May Not Escape Its Origin
Fang Wu, Weihao Xuan, Ximing Lu, Mingjie Liu, Yi Dong, Zaid Harchaoui, Yejin Choi
- Submitted to ICLR 2026
- Readers: Everyone
Scaling Up RL: Unlocking Diverse Reasoning in LLMs via Prolonged Training
Mingjie Liu, Shizhe Diao, Jian Hu, Ximing Lu, Xin Dong, Hao Zhang, Alexander Bukharin, Shaokun Zhang, Jiaqi Zeng, Makesh Narsimhan Sreedhar, Gerald Shen, David Mosallanezhad, Di Zhang, Jonas Yang, June Yang, Oleksii Kuchaiev, Guilin Liu, Zhiding Yu, Pavlo Molchanov, Yejin Choi et al. (2 additional authors not shown)
- CoRR 2025
- Readers: Everyone

View all 77 publications

Co-Authors

View all 199 co-authors