Sari la conținut

Română · beta. Traducerea a fost făcută automat și este încă în curs de revizuire. Citește pagina în engleză

perspectiva aiqbenchCercetare AI

analiza aiqbench

This paper challenges the prevailing view of Large Language Models as mere symbol manipulators, arguing instead that they capture "Cultural Intelligence" by grounding symbols in sociological practices. By reframing model behavior through a lens of distributed representation and social practice, the work offers a significant theoretical shift in how we interpret LLM comprehension beyond standard statistical correlation.
Sursă care acoperăarXiv
Ce este aceastaLectura unui model asupra articolului și a acoperirii conexe, scrisă pentru aiqbench. Nu sunt cuvintele publicației.

Communication, Vocalisation, and Language

arXiv1 min de cititArticolul și perspectiva sunt în engleză.

arXiv:2610.16490v1 Announce Type: new Abstract: The contention is that the current batch of Large Language Models don't *understand* language, but they *do* it. Rather than LLMs forming some kind of ``distributed representation'' of symbols, the claim is that LLMs are capturing ``Cultural Intelligence'' and grounding symbols in what the sociologists call practices.

Abstract:The contention is that the current batch of Large Language Models don't *understand* language, but they *do* it. Rather than LLMs forming some kind of ``distributed representation'' of symbols, the claim is that LLMs are capturing ``Cultural Intelligence'' and grounding symbols in what the sociologists call practices.

A written version of my argument with with Roger, with input from Bruce. 6 pages and one (Venn) diagram

Computation and Language (cs.CL)

arXiv:2610.16490 [cs.CL]

(or arXiv:2610.16490v1 [cs.CL] for this version)

https://doi.org/10.48550/arXiv.2610.16490 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.

Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.

Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.

Text integral sub licența deschisă a publicației · 161 cuvinte

Subiecte conexe