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Various language domains have undergone remarkable changes in recent years; these shifts are largely attributed to the advent of Large Language Models and their misalignment with natural language usage. These misalignmen...

Subjects / keywords: Social Sciences: Social sciences (General)

In recent years, large language models and agent systems based on them have been considered a promising tool for the digital transformation of public administration. However, the practical effectiveness of such systems i...

Subjects / keywords: public policy, both in the form of legislation, legal government, regional regulations, policy government, government programs and actions; Social Sciences: Social sciences (General)

La capacidad de utilizar algoritmos para resolver problemas del mundo real es una habilidad imprescindible para cualquier desarrollador o programador. Este libro le ayudará no solo a desarrollar la capacidad de seleccio...

La obra científica: Innovación global en educación para el cambio social" presenta una selección de capítulos que analizan, desde una perspectiva interdisciplinaria, los retos y oportunidades que enfrenta la educaci...

Los modelos de lenguaje de gran tamaño (LLM) y los modelos de difusión, como ChatGPT y DALL-E, representan una revolución sin precedentes en el ámbito de la inteligencia artificial. Entrenados con texto e imágenes p...

Abstract Large language models (LLMs) demonstrate strong reasoning and planning capabilities in static textual contexts, yet they struggle significantly with dynamic decision-making tasks involving spatial elements, such...

Car-following models (CFMs) are fundamental to traffic flow analysis and autonomous driving. Although calibrated physics-based and trained data-driven CFMs can replicate human driving behavior, their reliance on specific...

This study examines the potential impact of Large Language Models (LLMs) on the Ukrainian labor market. For the first time, it attempts to estimate the share of employees that can be replaced by generative AI technology ...

With the burgeoning popularity of Large Language Models (LLMs) and their introduction to the workplace in multiple fields, an important question remains unexplored: what are the cognitive skills and attributes that make ...

Abstract Large language models are beginning to appear in civil engineering practice, yet their advice often reflects generalized narratives rather than local evidence. This perspective introduces a governance audit fram...

Abstract This study introduces an intelligent, large language model (LLM)–driven feedback system designed to assess and enhance students’ programming tasks through semantic comparison and pedagogically contextualized...

Malware represents the most critical threat in cybersecurity, meant to compromise the security for any individual or any organization. These are covert software, designed to perform malicious act like data theft, data al...

ARM-based systems are widely deployed in edge and IoT settings, where penetration-testing tools must operate under strict memory, power, and thermal constraints, yet prior work offers limited deployment-oriented guidance...

IntroductionWe address moral uncertainty in reinforcement learning (RL) by proposing a framework that integrates multiple ethical theories into decision-making. Existing approaches rely on single moral frameworks or hand...

Employee compliance with Information Security Policies (ISPs) depends on communicating clear and comprehensible content. However, existing research has shown that many ISPs are of poor communicative quality. Large Langua...

Digital Twin Networks (DTNs) are emerging as a key enabler for the robust optimization and lifecycle management of next-generation networks. However, current DTN approaches still rely heavily on manual design, implementa...

Pragmatic ambiguity poses a major challenge for machine translation in low-resource languages like Akan, where a single English phrase may represent multiple pragmatic contexts and vice versa. To address this gap, we dev...

La evaluación de gran cantidad de exámenes de tipo respuesta abierta es una tarea docente que requiere de una elevada inversión de tiempo para su realización, presentando además otros importantes problemas y desafí...

Novel innovations in large language models (LLMs) have demonstrated their ability to generate and analyze literary texts. As a result of intricate semantic layers, metaphors, polyphony, and nonlinear narrative structures...

Artificial intelligence (AI) technologies are being deeply integrated into critical infrastructures, making AI resilience essential to ensuring the secure and stable operation of such systems. This study defines AI resil...