Towards using Few-Shot Prompt Learning for Automating Model Completion-Reference-Cited by-同舟云学术

Towards using Few-Shot Prompt Learning for Automating Model Completion

Published:2023-05 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/ACM 45th International Conference on Software Engineering: New Ideas and Emerging Results (ICSE-NIER)
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Author:

Chaaben Meriem Ben¹,Burgueño Lola²,Sahraoui Houari¹

Affiliation:

1. Université de Montréal,DIRO,Montréal,Canada

2. University of Malaga and UOC,Malaga and Barcelona,Spain

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10173778/10173868/10173909.pdf?arnumber=10173909

Reference11 articles.

1. Language models are few-shot learners;brown;Advances in Neural Information Processing Systems 33 Annual Conference on Neural Information Processing Systems 2020 NeurIPS 2020,2020

2. UML activity diagram examples,0

3. Learning from Code Repositories to Recommend Model Classes.

4. Automated, interactive, and traceable domain modelling empowered by artificial intelligence

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