Why Does Surprisal From Larger Transformer-Based Language Models Provide a Poorer Fit to Human Reading Times?

Research article (Transactions of the Association for Computational Linguistics, 2023) · cited 87× · AI/ML
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Why Does Surprisal From Larger Transformer-Based Language Models Provide a Poorer Fit to Human Reading Times?

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Why Does Surprisal From Larger Transformer-Based Language Models Provide a Poorer Fit to Human Reading Times? is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Why Does Surprisal From Larger Transformer-Based Language Models Provide a Poorer Fit to Human Reading Times?. Retrieved May 24, 2026, from https://4ort.xyz/entity/why-does-surprisal-from-larger-transformer-based-language-models-provide-a-poorer-fit-to-human-reading-times
MLA “Why Does Surprisal From Larger Transformer-Based Language Models Provide a Poorer Fit to Human Reading Times?.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/why-does-surprisal-from-larger-transformer-based-language-models-provide-a-poorer-fit-to-human-reading-times.
BibTeX @misc{4ortxyz_why-does-surprisal-from-larger-transformer-based-language-models-provide-a-poorer-fit-to-human-reading-times_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Why Does Surprisal From Larger Transformer-Based Language Models Provide a Poorer Fit to Human Reading Times?}}, year = {2026}, url = {https://4ort.xyz/entity/why-does-surprisal-from-larger-transformer-based-language-models-provide-a-poorer-fit-to-human-reading-times}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Why Does Surprisal From Larger Transformer-Based Language Models Provide a Poorer Fit to Human Reading Times? — https://4ort.xyz/entity/why-does-surprisal-from-larger-transformer-based-language-models-provide-a-poorer-fit-to-human-reading-times (retrieved 2026-05-24)

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