Bocheng Zhou

According to our database, Bocheng Zhou authored at least 5 papers between 2024 and 2026.

Collaborative distances:

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

2026

Do We Truly Need So Many Samples? Multi-LLM Repeated Sampling Efficiently Scales Test-Time Compute.

Jianhao Chen, Zishuo Xun, Bocheng Zhou, Han Qi, Hangfan Zhang, Qiaosheng Zhang, Yang Chen, Wei Hu, Yuzhong Qu, Shuyue Hu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Do We Truly Need So Many Samples? Multi-LLM Repeated Sampling Efficiently Scales Test-Time Compute.

Jianhao Chen, Zishuo Xun, Bocheng Zhou, Han Qi, Qiaosheng Zhang, Yang Chen, Wei Hu, Yuzhong Qu, Wanli Ouyang, Shuyue Hu

CoRR, April, 2025

Graph Attention is Not Always Beneficial: A Theoretical Analysis of Graph Attention Mechanisms via Contextual Stochastic Block Models.

Zhongtian Ma, Qiaosheng Zhang, Bocheng Zhou, Yexin Zhang, Shuyue Hu, Zhen Wang

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

2024

Error analysis of finite difference scheme for American option pricing under regime-switching with jumps.

Cunxin Huang, Haiming Song, Jinda Yang, Bocheng Zhou

J. Comput. Appl. Math., February, 2024

Understanding When and Why Graph Attention Mechanisms Work via Node Classification.

Zhongtian Ma, Qiaosheng Zhang, Bocheng Zhou, Yexin Zhang, Shuyue Hu, Zhen Wang

CoRR, 2024