arxiv
PublishedSeptember 2, 2026 at 4:00 AM
—neutral
Energy-Based Transformers as Predictors of Reading Difficulty
Publisher summary· verbatim
arXiv:2606.23382v2 Announce Type: replace-cross Abstract: Transformer language models have become established tools for modeling human sentence processing, with measures such as surprisal and attention entropy serving as effective predictors of reading difficulty that together capture complementary
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Originally published on arxiv ↗