2025
The LLM Already Knows: Estimating LLM-Perceived Question Difficulty via Hidden Representations
EMNLP 2025
Estimating the difficulty of input questions as perceived by large language models (LLMs) is essential for accurate performance evaluation and adaptive inference. Existing methods typically rely on repeated response sampling, auxiliary models, or fine-tuning the target model itself, which may incur