Results 111 to 120 of about 619 (159)

AlquistCoder: A Synthetic Data Approach to Training Compact Secure Coding Assistants and Building Security Benchmarks

open access: yesComputational Intelligence, Volume 42, Issue 4, August 2026.
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

Small Language Models: A Systematic Review of Computational Trade‐Offs, Privacy Advantages and Deployment in Intelligent Systems

open access: yesExpert Systems, Volume 43, Issue 8, August 2026.
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

Impressions that matter: How Italian SOEs construct a digital image through persuasive language strategies

open access: yesFinancial Accountability &Management, Volume 42, Issue 3, Page 396-411, August 2026.
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

From Tasks to Traits: Can LLMs Infer Personality From Brief Assessment Center Behavior?

open access: yesInternational Journal of Selection and Assessment, Volume 34, Issue 3, August 2026.
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

Domesticating robots, domesticating language: The hylomorphic paradox of “openness” in large language models

open access: yesJournal of Linguistic Anthropology, Volume 36, Issue 2, August 2026.
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

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