Results 121 to 130 of about 70,803 (186)

Reliability of Gemini 2.5 Pro, ChatGPT 4.1, DeepSeek V3, and Claude Opus 4 in generating standardized CMR protocols. [PDF]

Eur Radiol Exp
Licu RA, Muscogiuri G, Casartelli D, Bacârea A, Pop M, Licu AM, Sferratore D, Caruso A, Mirchuk M, Tarkowski P, Byczkowski J, Sironi S.   +11 more
europepmc   +1 more source

Divergent creativity in humans and large language models. [PDF]

Sci Rep
Bellemare-Pepin A, Lespinasse F, Thölke P, Harel Y, Mathewson K, Olson JA, Bengio Y, Jerbi K.   +7 more
europepmc   +1 more source

LLM Detectors

Abstract LLM detectors aim at detecting text generated by an LLM. They can be categorized into two main types: specific detectors and general detectors. Specific detectors target a particular type of language or context, such as hate speech or spam. In contrast, general detectors aim to identify a broad range of problematic languages, such as
openaire   +1 more source

Open- and closed-source LLMs in medical and engineering education. [PDF]

Front Med (Lausanne)
Sun L, Li Y, Kan H, Shu J, Xu H, Li C, Shi G, Wang Z, Wang X, Jin L.   +9 more
europepmc   +1 more source

Can Artificial Intelligence Models Appropriately Recommend Knee Arthroplasty Surgeons? [PDF]

HSS J
Emrich CM, Gazan EC, Baur AJ, Gabrielli AS, Bernstein JA, Landy DC.   +5 more
europepmc   +1 more source

Bayesian teaching enables probabilistic reasoning in large language models. [PDF]

Nat Commun
Qiu L, Sha F, Allen K, Kim Y, Linzen T, van Steenkiste S.   +5 more
europepmc   +1 more source

Uptake of Large Language Models by London Medical Students: Exploratory Qualitative Interview Study. [PDF]

JMIR Form Res
Alazzawi M, Lam K.
europepmc   +1 more source

Testeando LLMs

Este proyecto se centra en el desarrollo de un sistema diseñado para evaluar y comparar la eficiencia de LLMs (modelos de lenguaje de gran tamaño), como GPT o Cohere los cuales son los utilizados en este proyecto. El objetivo principal fue crear una herramienta que permita la interacción con un LLM en prueba y utilizar un LLM de referencia para evaluar
Ramos González, Gonzalo, Sampedro Mate, Marta, De Hoyos Pino, Javier   +2 more
openaire   +1 more source

Human and large language model judgments of cognitive impairment from language: An explainable artificial intelligence approach. [PDF]

Alzheimers Dement (Amst)
Zadok M, Peled-Cohen L, Calderon N, Gonen H, Beeri MS, Reichart R.   +5 more
europepmc   +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