Bu, Xingyuan

MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialogues

Bai, G., Liu, J., Bu, X., He, Y., Liu, J., Zhou, Z., Lin, Z., Su, W., Ge, T., Zheng, B., et al. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Speech and dialogue systemsTopic Modeling

Cited by 79

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

Huang, H., Bu, X., Zhou, H., Qu, Y., Liu, J., Yang, M., Xu, B., & Zhao, T. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 78

Equilibrate RLHF: Towards Balancing Helpfulness-Safety Trade-off in Large Language Models

Tan, Y., Jiang, Y., Li, Y., Liu, J., Bu, X., Su, W., Yue, X., Zhu, X., & Zheng, B. (2025) · arXiv

Adversarial Robustness in Machine LearningEthics and Social Impacts of AI

Cited by 1