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Sep, 2024
使用GPT-2建模自然阅读的认知过程
Modelando procesos cognitivos de la lectura natural con GPT-2
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Bruno Bianchi, Alfredo Umfurer, Juan Esteban Kamienkowski
TL;DR
本研究旨在解决如何更好地建模自然阅读中的认知过程这一问题。通过采用基于GPT-2的模型，研究展示了这一架构在解释读者眼动方面的有效性超过了以往的Ngrams和LSTM网络模型。结果表明，GPT-2可以为理解阅读行为提供更深入的洞察。
Abstract
The advancement of the
Natural Language Processing
field has enabled the development of language models with a great capacity for generating text. In recent years, Neuroscience has been using these models to better understand
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