Results 161 to 170 of about 852,752 (274)

LLAMA Project

, 2014
Fil: Arnal, Edmundo Marcelo. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Instituto Argentino de Radioastronomía. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata.
Arnal, Edmundo Marcelo, Abraham, Z., Giménez de Castro, G., Gouveia dal Pino, E. M. de, Larrarte, Juan José, Lepine, J., Morras, Ricardo, Viramonte, José   +7 more
openaire   +2 more sources

Alignment of the Starlings: Learning With Generative AI

Future Humanities, Volume 4, Issue 1, May 2026.
ABSTRACT I will argue that answers to normative questions concerning the place of generative AI in learning rest on answers to ontological questions regarding (1) precisely what is happening when a human ‘interacts’ with generative AI and (2) What is distinctive about organic learning as opposed to currently existing ‘machine learning’ (3) What is the ...
Sean Watson
wiley   +1 more source

Advanced natural-based interaction for the ITAlian language: LLaMAntino-3-ANITA. [PDF]

Sci Rep
Polignano M, Basile P, Semeraro G.
europepmc   +1 more source

‘It's a Relationship Just Like Any Other Relationship’—Systemic Therapists' Perspectives on Friend Therapy

Journal of Family Therapy, Volume 48, Issue 2, May 2026.
ABSTRACT Many people place friendships at the centre of their lives, yet systemic therapists often focus exclusively on familial and romantic relationships. In this study, we explored how systemic therapists understand and approach working relationally with friends in therapy.
Elliott Burcham, Lizette Nolte, Hendrix Hammond   +2 more
wiley   +1 more source

A transformer-based method for the cap analysis of gene expression and gene expression tag associated capping region prediction in RNA. [PDF]

RNA Biol
Haldar DK, Pramanick A, Mukherjee C, Mitra P.   +3 more
europepmc   +1 more source

Language machines: Toward a linguistic anthropology of large language models

Journal of Linguistic Anthropology, Volume 36, Issue 1, May 2026.
Abstract Large language models (LLMs) challenge long‐standing assumptions in linguistics and linguistic anthropology by generating human‐like language without relying on rule‐based structures. This introduction to the special issue Language Machines calls for renewed engagement with LLMs as socially embedded language technologies.
Siri Lamoureaux, Michael Castelle, Anna Weichselbraun   +2 more
wiley   +1 more source

Evaluating reasoning large language models with human-like thinking in ophthalmic question answering. [PDF]

BMJ Open Ophthalmol
Wang Z, Xu C, Wang L, Qiang W, Li Y, Li D, Xu F, Zhang Y, Jiang J, Li Z.   +9 more
europepmc   +1 more source

Co‐textual dopes: How LLMs produce contextually appropriate text in chat interactions with humans without access to context

Journal of Linguistic Anthropology, Volume 36, Issue 1, May 2026.
Abstract This paper asks how LLM‐based systems can produce text that is taken as contextually appropriate by humans without having seen text in its broader context. To understand how this is possible, context and co‐text have to be distinguished. Co‐text is input to LLMs during training and at inference as well as the primary resource of sense‐making ...
Ole Pütz
wiley   +1 more source

Automated abstraction of clinical parameters of multiple myeloma from real-world clinical notes using large language models. [PDF]

BMC Med Inform Decis Mak
Del Campo AO, Lituiev D, Varma G, Manoharan M, Kumar Ravi S, Aman A, Kansagra A, Greshock J, Venkatakrishnan AJ, Batavia AS.   +9 more
europepmc   +1 more source

Disparity of turbinal bones in placental mammals

The Anatomical Record, Volume 309, Issue 4, Page 749-777, April 2026.
Abstract Turbinals are key bony elements of the mammalian nasal cavity, involved in heat and moisture conservation as well as olfaction. While turbinals are well known in some groups, their diversity is poorly understood at the scale of placental mammals, which span 21 orders.
Quentin Martinez, Mark Wright, Benjamin Dubourguier, Kai Ito, Thomas van de Kamp, Elias Hamann, Marcus Zuber, Gabriel Ferreira, Rémi Blanc, Pierre‐Henri Fabre, Lionel Hautier, Eli Amson   +11 more
wiley   +1 more source