2025
CrossQG: Improving Difficulty-Controllable Question Generation through Consistency Enhancement
EMNLP 2025
Automatically generating questions with controlled difficulty has great application value, especially in the field of education. Although large language models are capable of generating questions of various difficulty levels, the generated questions often fail to align with the given target difficul