A Review of Neural Question Generation: Approaches, Challenges, and Future Directions
This survey provides a comprehensive review of developments in NQG, spanning traditional neural approaches to the latest paradigms driven by large language models (LLMs) and multimodal large language models (MLLMs).
Shasha Guo, Liang Pang, Jing Zhang et al.
· ACM Computing Surveys · 0 citations