Results 131 to 140 of about 16,605,417 (300)

Descriptive adequacy and Large Language Models

Journal of Language Modelling
Generative language models produce unconstrained text with few grammatical errors. But full linguistic competence also requires the ability to associate grammatical sentences with the correct syntactic structures, resulting in the correct semantic ...
E.G. Ruys, Iris Mulders
doaj   +1 more source

Understanding and Mitigating the Risk of Accelerated Biological Aging in Survivors of Cancer: A Scoping Review

Aging and Cancer, EarlyView.
Cancer treatment is associated with measurable acceleration of biological aging across epigenetic, telomere, senescence, and immune biomarkers. However, biomarker validation and interventional strategies remain limited, especially in hematologic malignancies, underscoring the need for standardized multi‐omic aging assessments and adequately powered ...
Moataz Ellithi, Emily Herdman, Danielle Westmark, Vijaya R. Bhatt   +3 more
wiley   +1 more source

Bridging language gaps in critical care with large language models – Response to Yu

We thank the author for their letter titled Bridging language gaps in critical care: Synergizing large language models and professional interpreters for equitable, patient-centred communication,1 published in response to a Current Insights editorial ...
Sundararajan, Krishnaswamy, Bloomer, Melissa   +1 more
core   +1 more source

Large physics models: towards a collaborative approach with large language models and foundation models

European Physical Journal C: Particles and Fields
This paper explores the development and evaluation of physics-specific large-scale AI models, which we refer to as large physics models (LPMs). These models, based on foundation models such as large language models (LLMs) are tailored to address the ...
Kristian G. Barman, Sascha Caron, Emily Sullivan, Henk W. de Regt, Roberto Ruiz de Austri, Mieke Boon, Michael Färber, Stefan Fröse, Tobias Golling, Luis G. Lopez, Faegheh Hasibi, Lukas Heinrich, Andreas Ipp, Rukshak Kapoor, Gregor Kasieczka, Daniel Kostić, Michael Krämer, Jesus Marco, Sydney Otten, Pawel Pawlowski, Pietro Vischia, Erik Weber, Christoph Weniger   +22 more
doaj   +1 more source

Large Language Models in Ophthalmology: A Bibliographic Analysis

Türk Oftalmoloji Dergisi
This study evaluated the distribution of research on the use of large language models (LLMs) in ophthalmology through a bibliographic analysis of articles retrieved from PubMed through November 2024.
Neslihan Dilruba Köseoğlu, T.Y. Alvin Liu   +1 more
doaj   +1 more source

Ethical Foreground and Background in Adult Educator Work

New Directions for Adult and Continuing Education, EarlyView.
ABSTRACT Adult educators work in a complex ethical environment. The very act of contributing to the learning of another is fraught with moral overtones. In this paper we consider the ethical dimensions of adult educator practice by distinguishing the ethical features of the context or ‘background’ of practice from the ethical capabilities and decision ...
Steven Hodge, Sonal Nakar
wiley   +1 more source

Large Language Diffusion Models

Advances in Neural Information Processing Systems 38
The capabilities of large language models (LLMs) are widely regarded as relying on autoregressive models (ARMs). We challenge this notion by introducing LLaDA, a diffusion model trained from scratch under the pre-training and supervised fine-tuning (SFT) paradigm.
Shen Nie, Fengqi Zhu, Zebin You, Xiaolu Zhang, Jingyang Ou, Jun Hu, Jun Zhou 0011, Yankai Lin 0001, Ji-Rong Wen, Chongxuan Li   +9 more
openaire   +3 more sources

Diagnostic Performance of Multimodal Large Language Models for Grading Pediatric Vesicoureteral Reflux on MCUG: A Preliminary Study

Journal of Indian Association of Pediatric Surgeons
Aims: To evaluate the diagnostic accuracy of ChatGPT-5 and Gemini 2.5 Pro compared with a pediatric radiologist reference standard in grading vesicoureteral reflux (VUR) on pediatric micturating cystourethrogram (MCUG) studies.
Shubham Saini, Anmol Bhatia, Akshay Kumar Saxena, Ravi Prakash Kanojia, Kushaljit Singh Sodhi   +4 more
doaj   +1 more source

Elevated Connectivity During Language Processing Is Associated With Cognitive Performance in SeLECTS

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Self‐Limited Epilepsy with Centrotemporal Spikes (SeLECTS) is associated with language impairments despite seizures originating in the motor cortex, suggesting aberrant cross‐network interactions. Here we tested whether functional connectivity in SeLECTS during language tasks predicts language performance.
Wendy Qi, Katharine Lee, Kerry C. Nix, Miguel Menchaca, Xiwei Shé, Lorelei Santa Maria, Wei Wu, Zihuai He, Fiona M. Baumer   +8 more
wiley   +1 more source

Influence of large language models on clinical decision-making in dentistry: A narrative review

SRM Journal of Research in Dental Sciences
Introduction: Clinical observations, radiological interpretation, patient-specific factors, and evidence-based standards must be integrated when making clinical decisions in dentistry.
Harsika Kesavan, A. C. Lakshmi Rathan, Jyotsna Rajan, Abinaya Subramanian   +3 more
doaj   +1 more source