What Shapes Brain Alignment of Large Language Models during Dialogue? Insights from Language Production and Comprehension
Brain alignment of large language models (LLMs) offers a way to investigate representational similarities between LLMs and the human brain during language processing.
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Key points
- In this study, using fMRI data collected during dialogue, we examine brain alignment during language production and comprehension across LLM layers and brain regions.
- We assess its association with the intrinsic dimension (ID) of LLM representations and the contributions of several interpretable linguistic and communicative features.
- Our results reveal distinct patterns of brain alignment between production and comprehension, as well as strong associations with ID in brain regions associated with each processing mode.
- Furthermore, we show that the contributions of linguistic and communicative features also vary across processing modes, LLM layers, and brain regions.
Sources (1)
- [1]What Shapes Brain Alignment of Large Language Models during Dialogue? Insights from Language Production and ComprehensionarXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 16, 05:34 AM
Brain alignment of large language models (LLMs) offers a way to investigate representational similarities between LLMs and the human brain during language processing.
In this study, using fMRI data collected during dialogue, we examine brain alignment during language production and comprehension across LLM layers and brain regions.
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