Guanxu Chen

Ph.D. student at Shanghai Jiao Tong University, jointly trained with Shanghai AI Laboratory. Advisor: Dr. Jing Shao.

Google Scholar / CV / 中文

Publications

Large Reasoning Models and Reinforcement Learning

1. Conditional Advantage Estimation for Reinforcement Learning in Large Reasoning Models
   Guanxu Chen, Yafu Li, Yuxian Jiang, Chen Qian, Qihan Ren, Jingyi Yang, Yu Cheng, Dongrui Liu, Jing Shao.
   ICLR 2026.

2. Rethinking Entropy Regularization in Large Reasoning Models
   Yuxian Jiang, Yafu Li, Guanxu Chen, Dongrui Liu, Yu Cheng, Jing Shao.
   arXiv preprint.

Trustworthy AI

1. Beyond External Monitors: Enhancing Transparency of Large Language Models for Easier Monitoring
   Guanxu Chen, Dongrui Liu, Tao Luo, Lijie Hu, Jing Shao.
   ICML 2026.

2. SafeWork-R1: Coevolving Safety and Intelligence under the AI-45 Law
   Technical report.
   Core contributor.

3. Frontier AI Risk Management Framework in Practice: A Risk Analysis Technical Report v1.5
   Technical report.
   Core contributor.

Looped Transformers and Latent Reasoning

1. Loop as a Bridge: Can Looped Transformers Truly Link Representation Space and Natural Language Outputs?
   Guanxu Chen, Dongrui Liu, Jing Shao.
   Technical report.

Masked Diffusion Language Models

1. Taming Masked Diffusion Language Models via Consistency Trajectory Reinforcement Learning with Fewer Decoding Steps
   Jingyi Yang, Guanxu Chen, Xuhao Hu, Jing Shao.
   arXiv preprint.