Results 121 to 130 of about 16,697 (260)

Assessment of Deep Research for dermatology literature reviews: Deep concern over the hype

Journal of the European Academy of Dermatology and Venereology, EarlyView.
Lauren E. Keplinger, Luke K. Frashure, Sabrina A. Duran, Gangqing Hu   +3 more
wiley   +1 more source

AI‐Enhanced Semantic Feature Norms for 786 Concepts

Topics in Cognitive Science, EarlyView.
Abstract Semantic feature norms have been foundational in the study of human conceptual knowledge, yet traditional methods face trade‐offs between concept/feature coverage and verifiability of quality due to the labor‐intensive nature of norming studies.
Siddharth Suresh, Kushin Mukherjee, Tyler Giallanza, Xizheng Yu, Mia Patil, Jonathan D. Cohen, Timothy T. Rogers   +6 more
wiley   +1 more source

Llama Single Domain Antibodies Specific for the 7 Botulinum Neurotoxin Serotypes as Heptaplex Immunoreagents

, 2010
Jerry O. Conway, Laura J. Sherwood, M. Thelma Collazo, J.A. Garza, Andrew Hayhurst   +4 more
openalex   +2 more sources

Applications of large‐scale artificial intelligence models in bioinformatics

Quantitative Biology, Volume 14, Issue 2, June 2026.
Abstract Large‐scale artificial intelligence (AI) models can mine potential patterns from massive amounts of data and provide more accurate analyses. This capability has enabled its gradual application in various areas of bioinformatics. However, few reviews have comprehensively summarized the applications of different types of large‐scale AI models in
Mingjing Li, Qichen Shang, Ziyang Dong, Zhixuan You, Le Zhang, Ming Xiao   +5 more
wiley   +1 more source

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

Aptitude in the Classroom: an empirical study of the pedagogical functionality of the LLAMA test battery in an upper secondary school

, 2021
Morten Skillingstad Larsen
openalex   +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

LlaMa meets Cheburashka: impact of cultural background for LLM quiz reasoning [PDF]

Mikhail Lifar, Bogdan Protsenko, Daniil Kupriianenko, Nazar Chubkov, Kirill Kulaev, Alexander A. Guda, А. В. Солдатов, Irina Piontkovskaya   +7 more
openalex   +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

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