Zhongze Cai

According to our database, Zhongze Cai authored at least 12 papers between 2022 and 2025.

Collaborative distances:

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

2025

Users as Annotators: LLM Preference Learning from Comparison Mode.

Zhongze Cai, Xiaocheng Li

CoRR, October, 2025

What Matters in Data for DPO?

Yu Pan, Zhongze Cai, Guanting Chen, Huaiyang Zhong, Chonghuan Wang

CoRR, August, 2025

Incentivizing High-Quality Human Annotations with Golden Questions.

Shang Liu, Zhongze Cai, Hanzhao Wang, Zhongyao Ma, Xiaocheng Li

CoRR, May, 2025

Towards Better Understanding of In-Context Learning Ability from In-Context Uncertainty Quantification.

Shang Liu, Zhongze Cai, Guanting Chen, Xiaocheng Li

Trans. Mach. Learn. Res., 2025

Distributed formation tracking with connectivity preservation and orientation alignment.

Guhao Sun, Qingshuang Zeng, Zhongze Cai

Trans. Inst. Meas. Control, 2025

Out-of-distribution Robust Optimization.

Zhongze Cai, Hansheng Jiang, Xiaocheng Li

Proceedings of the Conference on Uncertainty in Artificial Intelligence, 2025

2024

Predefined-time sliding mode control based on exact time disturbance observer for second-order systems with matched and mismatched disturbances.

Zhongze Cai, Guhao Sun, Qingshuang Zeng

Trans. Inst. Meas. Control, 2024

Towards Better Statistical Understanding of Watermarking LLMs.

Zhongze Cai, Shang Liu, Hanzhao Wang, Huaiyang Zhong, Xiaocheng Li

CoRR, 2024

2023

Continuous Adaptive Finite-Time Sliding Mode Control for Fractional-Order Buck Converter Based on Riemann-Liouville Definition.

Zhongze Cai, Qingshuang Zeng

Entropy, April, 2023

A Neural Network Based Choice Model for Assortment Optimization.

Hanzhao Wang, Zhongze Cai, Xiaocheng Li, Kalyan T. Talluri

CoRR, 2023

Distribution-Free Model-Agnostic Regression Calibration via Nonparametric Methods.

Shang Liu, Zhongze Cai, Xiaocheng Li

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Deep Learning for Choice Modeling.

Zhongze Cai, Hanzhao Wang, Kalyan T. Talluri, Xiaocheng Li

CoRR, 2022