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pro vyhledávání: '"Leivada, Evelina"'
Understanding the limits of language is a prerequisite for Large Language Models (LLMs) to act as theories of natural language. LLM performance in some language tasks presents both quantitative and qualitative differences from that of humans, however
Externí odkaz:
http://arxiv.org/abs/2404.14883
In the field of Artificial (General) Intelligence (AI), the several recent advancements in Natural language processing (NLP) activities relying on Large Language Models (LLMs) have come to encourage the adoption of LLMs as scientific models of langua
Externí odkaz:
http://arxiv.org/abs/2310.11146
Modern Artificial Intelligence applications show great potential for language-related tasks that rely on next-word prediction. The current generation of Large Language Models (LLMs) have been linked to claims about human-like linguistic performance a
Externí odkaz:
http://arxiv.org/abs/2308.00109
Large Language Models (LLMs) are recruited in applications that span from clinical assistance and legal support to question answering and education. Their success in specialized tasks has led to the claim that they possess human-like linguistic capab
Externí odkaz:
http://arxiv.org/abs/2302.12313
Machine intelligence is increasingly being linked to claims about sentience, language processing, and an ability to comprehend and transform natural language into a range of stimuli. We systematically analyze the ability of DALL-E 2 to capture 8 gram
Externí odkaz:
http://arxiv.org/abs/2210.12889
Akademický článek
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Publikováno v:
In Social Sciences & Humanities Open 2023 8(1)
Autor:
Leivada, Evelina1,2 (AUTHOR) evelina.leivada@uab.cat
Publikováno v:
Behavioral Sciences (2076-328X). Oct2023, Vol. 13 Issue 10, p812. 19p.
Autor:
Leivada, Evelina, Murphy, Elliot
Publikováno v:
In Ampersand 2021 8
Autor:
Leivada Evelina
Publikováno v:
Zeitschrift für Sprachwissenschaft, Vol 39, Iss 3, Pp 357-374 (2021)
This work examines the nature of the so-called “mid-level generalizations of generative linguistics” (MLGs). In 2015, Generative Syntax in the 21st Century: The Road Ahead was organized. One of the consensus points that emerged related to the nee
Externí odkaz:
https://doaj.org/article/18cd48675b0f491caac427f6245d722b