Results 111 to 120 of about 619 (159)
Thomas Morgan and a Heat-Based Variety of Newtonian Medicine. [PDF]
Joo E.
europepmc +1 more source
ABSTRACT Large language models are increasingly used as programming assistants, but their security behavior remains uneven: they may generate code with vulnerable patterns, and they may provide actionable help for malicious requests. This paper introduces AlquistCoder, a compact 3.8B‐parameter coding assistant designed to address both risks through ...
Ondřej Kobza +6 more
wiley +1 more source
Enhancing aviation safety: An 80-year data-driven model for classification of aviation incident and accident. [PDF]
Qureshi S +3 more
europepmc +1 more source
ABSTRACT This systematic review synthesizes evidence from 68 studies, including peer‐reviewed journal articles, indexed conference/workshop proceedings and five remaining arXiv preprints published between 2022 and 2025, on small language models (SLMs) as computationally efficient alternatives to large language models (LLMs).
Sena Dikici, Turgay Tugay Bilgin
wiley +1 more source
Non-Cognitive Predictors: Evidence and Implications for Academic Achievement and Cognitive Processing. [PDF]
Stankov L, Lee J.
europepmc +1 more source
ABSTRACT Rooted in the theoretical perspective of impression management, and drawing on the critical discourse analysis (CDA) approach, this study analyzes whether and how the Italian state‐owned enterprises (SOEs) in the energy sector over the period 2020–2023 use persuasive language strategies in their annual reports to portray the image of a ...
Fiorenza Meucci +3 more
wiley +1 more source
A neuroscientific hypothesis on the physical nature of consciousness. [PDF]
Ukachoke C.
europepmc +1 more source
From Tasks to Traits: Can LLMs Infer Personality From Brief Assessment Center Behavior?
ABSTRACT Assessment centers (ACs) could provide behavioral foundations for trait assessment but demand substantial resources, especially the labor‐intensive human rating process. As organizations adopt large language models (LLMs) for automated assessment, we establish initial psychometric benchmarks for LLM‐based trait inference from AC behavior.
Tobias Marc Härtel
wiley +1 more source
Artificial neural network predictive models for optimizing the training process in race walking: a longitudinal observational study. [PDF]
Skalski D +5 more
europepmc +1 more source
Abstract This article examines how openness is interpreted in human–LLM interaction through an ethnographic study of a robotics experiment. Focusing on an episode in which a robot produced an unexpected utterance, I analyze how engineers classify the output as inconsequential noise.
Raffaele Andrea Buono
wiley +1 more source

