Mo Guang

According to our database, Mo Guang authored at least 9 papers between 2025 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

QMoP: Query Guided Mixture-of-Projector for Efficient Visual Token Compression.

Zhongyang Li, Yaqian Li, Faming Fang, Rinyoichi Takezoe, Zi-Hao Bo, Cheng Qian, Mo Guang, Guixu Zhang, Kaiwen Long

CoRR, March, 2026

GeoProblem Factory: A Visual Interaction System for Solvable and Controllable Geometric Problem Generation by Leveraging Symbolic Deduction Engine.

Zhuoxuan Jiang, Yanpeng Li, Tianyang Zhang, Jing Chen, Yong Li, Mo Guang, Wen Si, Shaohua Zhang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

A 56-Gb/s, 6.3-pJ/bit PAM-4 DFB Laser Driver Incorporating Asymmetric Equalization and Integrated CDR in 28 nm CMOS.

Yang Min, Nan Qi, Yihan Chen, Yi Zhang, Minye Zhu, Guike Li, Yonghui Lin, Huiyao Peng, Mo Guang, Kaiwen Long, Zhao Zhang, Jian Liu, Nanjian Wu, Jingbo Shi, Yong Chen, Frank F. Shi, Liyuan Liu

IEEE Trans. Very Large Scale Integr. Syst., October, 2025

MARS: Reinforcing Multi-Agent Reasoning of LLMs through Self-Play in Strategic Games.

Huining Yuan, Zelai Xu, Zheyue Tan, Xiangmin Yi, Mo Guang, Kaiwen Long, Haojia Hui, Boxun Li, Xinlei Chen, Bo Zhao, Xiao-Ping Zhang, Chao Yu, Yu Wang

CoRR, October, 2025

SAC Flow: Sample-Efficient Reinforcement Learning of Flow-Based Policies via Velocity-Reparameterized Sequential Modeling.

Yixian Zhang, Shu'ang Yu, Tonghe Zhang, Mo Guang, Haojia Hui, Kaiwen Long, Yu Wang, Chao Yu, Wenbo Ding

CoRR, September, 2025

Latent Collective Preference Optimization: A General Framework for Robust LLM Alignment.

Xiaoyang Cao, Zelai Xu, Mo Guang, Kaiwen Long, Michiel A. Bakker, Yu Wang, Chao Yu

CoRR, September, 2025

SATQuest: A Verifier for Logical Reasoning Evaluation and Reinforcement Fine-Tuning of LLMs.

Yanxiao Zhao, Yaqian Li, Zihao Bo, Rinyoichi Takezoe, Haojia Hui, Mo Guang, Lei Ren, Xiaolin Qin, Kaiwen Long

CoRR, September, 2025

Transformer-Enhanced Multi-Agent Contextual Bandit for Coordinated Nonlinear Bandwidth Defragmentation in Multi-Band Optical Networks.

Jiaxin Liu, Rentao Gu, Mo Guang, Kaiwen Long, Yuefeng Ji

Proceedings of the 2025 IEEE Global Communications Conference, 2025

ReFly: A New Reconfigurable Architecture for LLM Training Based on Optical Circuit Switching.

Xinyue Li, Rentao Gu, Yunxuan Li, Shiwei Wang, Mo Guang, Kaiwen Long, Yuefeng Ji

Proceedings of the 2025 IEEE Global Communications Conference, 2025