Mi, Fei

Aligning Large Language Models with Human: A Survey

Wang, Y., Zhong, W., Li, L., Mi, F., Zeng, X., Huang, W., Shang, L., Jiang, X., & Liu, Q. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 69

FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models

Jiang, Y., Wang, Y., Zeng, X., Zhong, W., Li, L., Mi, F., Shang, L., Jiang, X., Liu, Q., & Wang, W. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 55

Cue-CoT: Chain-of-thought Prompting for Responding to In-depth Dialogue Questions with LLMs

Wang, H., Wang, R., Mi, F., Deng, Y., Wang, Z., Liang, B., Xu, R., & Wong, K.-F. (2023) · Findings of the Association for Computational Linguistics: EMNLP 2023

Speech and dialogue systemsTopic Modeling

Cited by 38

Enhancing Large Language Models Against Inductive Instructions with Dual-critique Prompting

Wang, R., Wang, H., Mi, F., Xue, B., Chen, Y., Wong, K.-F., & Xu, R. (2024) · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 4

Enhancing Large Language Models Against Inductive Instructions with Dual-critique Prompting

Wang, R., Wang, H., Mi, F., Chen, Y., Xue, B., Wong, K.-F., & Xu, R. (2023) · arXiv

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 2