Chonghan Liu

According to our database, Chonghan Liu authored at least 11 papers between 2020 and 2026.

Collaborative distances:

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

2026

Rethinking LLM Ensembling from the Perspective of Mixture Models.

Jiale Fu, Yuchu Jiang, Peijun Wu, Chonghan Liu, Joey Tianyi Zhou, Xu Yang

CoRR, May, 2026

VEPO: Variable Entropy Policy Optimization for Low-Resource Language Foundation Models.

Chonghan Liu, Yimin Du, Qi An, Xin He, Cunqi Zhai, Fei Tan, Weijia Lin, Xiaochun Gong, Yongchao Deng, Shousheng Jia, Xiangzheng Zhang

CoRR, March, 2026

Modality Gap-Driven Subspace Alignment Training Paradigm For Multimodal Large Language Models.

Xiaomin Yu, Yi Xin, Wenjie Zhang, Chonghan Liu, Hanzhen Zhao, Xiaoxing Hu, Xinlei Yu, Ziyue Qiao, Hao Tang, Xue Yang, Xiaobin Hu, Chengwei Qin, Hui Xiong, Yu Qiao, Shuicheng Yan

CoRR, February, 2026

Flatter Tokens are More Valuable for Speculative Draft Model Training.

Jiaming Fan, Daming Cao, Xiangzhong Luo, Jiale Fu, Chonghan Liu, Xu Yang

CoRR, January, 2026

2025

HI-TransPA: Hearing Impairments Translation Personal Assistant.

Zhiming Ma, Shiyu Gan, Junhao Zhao, Xianming Li, Qingyun Pan, Peidong Wang, Mingjun Pan, Yuhao Mo, Jiajie Cheng, Chengxin Chen, Zhonglun Cao, Chonghan Liu, Shi Cheng

CoRR, November, 2025

Ariadne: A Controllable Framework for Probing and Extending VLM Reasoning Boundaries.

Minghe Shen, Zhuo Zhi, Chonghan Liu, Shuo Xing, Zhengzhong Tu, Che Liu

CoRR, November, 2025

d²Cache: Accelerating Diffusion-Based LLMs via Dual Adaptive Caching.

Yuchu Jiang, Yue Cai, Xiangzhong Luo, Jiale Fu, Jiarui Wang, Chonghan Liu, Xu Yang

CoRR, September, 2025

MIRAGE: A Multi-modal Benchmark for Spatial Perception, Reasoning, and Intelligence.

Chonghan Liu, Haoran Wang, Felix Henry, Pu Miao, Yajie Zhang, Yu Zhao, Peiran Wu

CoRR, May, 2025

ST-Think: How Multimodal Large Language Models Reason About 4D Worlds from Ego-Centric Videos.

Peiran Wu, Yunze Liu, Chonghan Liu, Miao Liu, Junxiao Shen

CoRR, March, 2025

AdaptiveStep: Automatically Dividing Reasoning Step through Model Confidence.

Yuliang Liu, Junjie Lu, Chaofeng Qu, Zhaoling Chen, Zefan Cai, Jason Klein Liu, Chonghan Liu, Yunhui Xia, Li Zhao, Jiang Bian, Chuheng Zhang, Wei Shen, Zhouhan Lin

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2020

A Low-Power Time-to-Digital Converter for the CMS Endcap Timing Layer (ETL) Upgrade.

Wei Zhang, Hanhan Sun, Christopher Edwards, Datao Gong, Xing Huang, Chonghan Liu, Tiankuan Liu, Tiehui Liu, Jamieson Olsen, Quan Sun, Xiangming Sun, Jinyuan Wu, Jingbo Ye, Li Zhang

CoRR, 2020