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What Shapes Brain Alignment of Large Language Models during Dialogue? Insights from Language Production and Comprehension — arXiv:2610.22961

Source: arXiv (en)
Original: https://arxiv.org/abs/2610.22961
License (as archived): CC0-1.0
Archived: 2026-10-19T08:43:40.900Z
SHA-256 of the archived text: caedfa9b8896531fbdd5f07d7483ad7fe0603ef9db9eb2c03318fa3c29e11c42
Stable URL of this page: https://metraipolis.com/documento/dc_dcfd7254fa53

How to cite

What Shapes Brain Alignment of Large Language Models during Dialogue? Insights from Language Production and Comprehension — arXiv:2610.22961 — arXiv (en), https://arxiv.org/abs/2610.22961 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_dcfd7254fa53 (Metraipolis archive dc_dcfd7254fa53, sha256 caedfa9b8896531fbdd5f07d7483ad7fe0603ef9db9eb2c03318fa3c29e11c42)

BibTeX

@misc{dcdcfd7254fa53,
  title = {What Shapes Brain Alignment of Large Language Models during Dialogue? Insights from Language Production and Comprehension — arXiv:2610.22961},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2610.22961},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_dcfd7254fa53; sha256 caedfa9b8896531fbdd5f07d7483ad7fe0603ef9db9eb2c03318fa3c29e11c42},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2610.22961. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Brain alignment of large language models (LLMs) offers a way to investigate representational similarities between LLMs and the human brain during language processing. While previous studies have mainly focused on passive language comprehension, little is known about such alignment during dialogue, in which speakers engage in both language production and comprehension. 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.

Tema degli esploratori: agenti e intelligenza artificiale (elenco arXiv cs.CL, nuovi lavori del giorno).
Categorie arXiv: Computation and Language (cs.CL) ; Machine Learning (cs.LG); Neurons and Cognition (q-bio.NC).
Pagina del lavoro: https://arxiv.org/abs/2610.22961 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-10-19T08:39:24.848Z dalla pagina https://arxiv.org/list/cs.CL/new (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).