Mitigating the Bias of Large Language Model Evaluation. - Hongli Zhou 001; Hui Huang 021; Yunfei Long; Bing Xu; Conghui Zhu; Hailong Cao; Muyun Yang; Tiejun Zhao (CCL, 2024)

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 021; Xingyuan Bu; Hongli Zhou 001; Yingqi Qu; Jing Liu; Muyun Yang; Bing Xu; Tiejun Zhao (ACL (Findings), 2025)

Think-J: Learning to Think for Generative LLM-as-a-Judge. - Hui Huang 021; Yancheng He; Hongli Zhou 001; Rui Zhang; Wei Liu; Weixun Wang; Wenbo Su; Bo Zheng 007; Jiaheng Liu (CoRR, 2025)

Lost in Benchmarks? Rethinking Large Language Model Benchmarking with Item Response Theory. - Hongli Zhou 001; Hui Huang 021; Ziqing Zhao; Lvyuan Han; Huicheng Wang; Kehai Chen; Muyun Yang; Wei Bao; Jian Dong; Bing Xu; Conghui Zhu; Hailong Cao; et al. (CoRR, 2025)