A survey on neural question generation: Methods, applications, and prospects

S Guo, L Liao, C Li, TS Chua - arxiv preprint arxiv:2402.18267, 2024 - arxiv.org
In this survey, we present a detailed examination of the advancements in Neural Question
Generation (NQG), a field leveraging neural network techniques to generate relevant …

Prompt-based and Fine-tuned GPT Models for Context-Dependent and-Independent Deductive Coding in Social Annotation

C Hou, G Zhu, J Zheng, L Zhang, X Huang… - Proceedings of the 14th …, 2024 - dl.acm.org
GPT has demonstrated impressive capabilities in executing various natural language
processing (NLP) and reasoning tasks, showcasing its potential for deductive coding in …

Exploring Disparities in Student and Practitioner Perceptions of Skill Proficiency with SE Gap Awareness

S Gruber, G Govan, C Brown - … of the Eleventh ACM Conference on …, 2024 - dl.acm.org
Software engineering (SE) is constantly changing and evolving, increasing the gaps in
knowledge and skills that students need to become productive software engineers in …