Publisher
Springer Nature Switzerland
Reference20 articles.
1. Alhoshan, W., Ferrari, A., Zhao, L.: Zero-shot learning for requirements classification: an exploratory study. Inf. Software Technol. 159, 107202 (2023)
2. Berry, D.M., Cleland-Huang, J., Ferrari, A., Maalej, W., Mylopoulos, J., Zowghi, D.: Panel: context-dependent evaluation of tools for NL RE tasks: recall vs. precision, and beyond. In: 2017 IEEE 25th International Requirements Engineering Conference (RE), pp. 570–573 (2017). https://doi.org/10.1109/RE.2017.64
3. Brown, T., Mann, B., Ryder, N., Subbiah, M., Kaplan, J.D., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., et al.: Language models are few-shot learners. Adv. Neural Inf. Process. Syst. 33, 1877–1901 (2020)
4. Cheng, Y., Chen, J., Huang, Q., Xing, Z., Xu, X., Lu, Q.: Prompt Sapper: A LLM-Empowered Production Tool for Building AI Chains. Preprint (2023). arXiv:2306.12028
5. Cleland-Huang, J., Mazrouee, S., Liguo, H., Port, D.: NFR (2007). https://doi.org/10.5281/zenodo.268542
Cited by
3 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献