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20232026
most citedIntegrating LLM, EEG, and Eye-Tracking Biomarker Analysis for Word-Level Neural State Classification in Semantic Inference Reading Comprehension

2 citations · 2 across the 5 of their papers we have counts for

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cs.CL2025

Graph Representations for Reading Comprehension Analysis using Large Language Model and Eye-Tracking Biomarker

Yuhong Zhang, Jialu Li, Shilai Yang +3

Reading comprehension is a fundamental skill in human cognitive development. With the advancement of Large Language Models (LLMs), there is a growing need to compare how humans and…

cs.CL2023★ 2 cited

Integrating LLM, EEG, and Eye-Tracking Biomarker Analysis for Word-Level Neural State Classification in Semantic Inference Reading Comprehension

Yuhong Zhang, Qin Li, Sujal Nahata +4

With the recent proliferation of large language models (LLMs), such as Generative Pre-trained Transformers (GPT), there has been a significant shift in exploring human and machine…