auro

This paper introduces LEXIC, a lightweight method that injects precomputed word-level difficulty signals (GPT-2 surprisal, word frequency, word length) into gaze-only models for reading comprehension prediction, achieving slight improvements over baseline on the EyeBench benchmark.