In the news
Surprisal Theory is Tautological (without Rational Grounding)
arXiv cs.AI · Published · 3 min read
In 30 seconds
- What happened
- Surprisal theory, which links human reading difficulty to language model uncertainty, is logically tautological without additional constraints on the model itself.
- Why it matters
- Matters for NLP researchers building cognitive models and psycholinguists validating theories against human processing data.
- Watch out
- The paper argues surprisal theory needs external constraints from cognitive theory, not just corpus-fit improvements, to make falsifiable predictions about human behavior.
Listen to this summary
- language model
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