Tag
This paper investigates whether LLMs can accurately predict item difficulty levels in large-scale reading and writing tests, finding that GPT-4.1 achieves moderate accuracy but is outperformed by ConvBERT, and that LLMs tend to underestimate difficulty for hard items.