Brain-model neural similarity reveals abstractive summarization performance

Brain-model neural similarity reveals abstractive summarization performance

Abstract Deep language models (DLMs) have exhibited remarkable language understanding and generation capabilities, prompting researchers to explore the similarities between their internal mechanisms and human language cognitive processing. This study investigated the representational similarity (RS)...

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Bibliographic Details
Main Authors: Zhejun Zhang, Shaoting Guo, Wenqing Zhou, Yingying Luo, Yingqi Zhu, Lin Zhang, Lei Li
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Deep language models
Representational similarity analysis
Abstractive summarization
Electroencephalography
Neural correlates
Online Access:https://doi.org/10.1038/s41598-024-84530-w
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https://doi.org/10.1038/s41598-024-84530-w

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