Shen, Jiaming

Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters

Wang, B., Min, S., Deng, X., Shen, J., Wu, Y., Zettlemoyer, L., & Sun, H. (2023) · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 120

Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting

Qin, Z., Jagerman, R., Hui, K., Zhuang, H., Wu, J., Yan, L., Shen, J., Liu, T., Liu, J., Metzler, D., et al. (2023) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 16