Hongli Zhou

According to our database, Hongli Zhou authored at least 7 papers between 2024 and 2026.

Collaborative distances:

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

2026

Toward Robust LLM-Based Judges: Taxonomic Bias Evaluation and Debiasing Optimization.

Hongli Zhou, Hui Huang, Rui Zhang, Kehai Chen, Bing Xu, Conghui Zhu, Tiejun Zhao, Muyun Yang

CoRR, March, 2026

RM-Distiller: Exploiting Generative LLM for Reward Model Distillation.

Hongli Zhou, Hui Huang, Wei Liu, Chenglong Wang, Xingyuan Bu, Lvyuan Han, Fuhai Song, Muyun Yang, Wenhao Jiang, Hailong Cao, Tiejun Zhao

CoRR, January, 2026

Lost in Benchmarks? Rethinking Large Language Model Benchmarking with Item Response Theory.

Hongli Zhou, Hui Huang, Ziqing Zhao, Lvyuan Han, Huicheng Wang, Kehai Chen, Muyun Yang, Wei Bao, Jian Dong, Bing Xu, Conghui Zhu, Hailong Cao, Tiejun Zhao

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Think-J: Learning to Think for Generative LLM-as-a-Judge.

Hui Huang, Yancheng He, Hongli Zhou, Rui Zhang, Wei Liu, Weixun Wang, Jiaheng Liu, Wenbo Su

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Think-J: Learning to Think for Generative LLM-as-a-Judge.

Hui Huang, Yancheng He, Hongli Zhou, Rui Zhang, Wei Liu, Weixun Wang, Wenbo Su, Bo Zheng, Jiaheng Liu

CoRR, May, 2025

An Empirical Study of LLM-as-a-Judge for LLM Evaluation: Fine-tuned Judge Model is not a General Substitute for GPT-4.

Hui Huang, Xingyuan Bu, Hongli Zhou, Yingqi Qu, Jing Liu, Muyun Yang, Bing Xu, Tiejun Zhao

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Mitigating the Bias of Large Language Model Evaluation.

Hongli Zhou, Hui Huang, Yunfei Long, Bing Xu, Conghui Zhu, Hailong Cao, Muyun Yang, Tiejun Zhao

Proceedings of the Chinese Computational Linguistics - 23rd China National Conference, 2024