Results 271 to 280 of about 1,902,940 (354)
Generative AI detection in higher education assessments
Abstract This chapter presents a critical analysis of generative AI (GenAI) detection tools in higher education assessments. The rapid advancement and widespread adoption of GenAI, particularly in education, necessitates a reevaluation of traditional academic integrity mechanisms.
Cesare Giulio Ardito
wiley +1 more source
Abstract Interpretation of Functional Programs using an Attribute Grammar System
Jeroen D. Fokker, S. Doaitse Swierstra
openalex +1 more source
Evolving intersections: AI, disability, and academic integrity in higher education
Abstract In this article, we investigate the critical intersections of AI, academic integrity, and disability in the context of a large undergraduate course. Our aim was to adapt the course to respond to generative AI (GenAI) to avoid entrenching barriers for students, and instead teach them how to use GenAI tools in ways that deepen their learning and
Azeezah Jafry, Jessica Vorstermans
wiley +1 more source
Deep neural networks and humans both benefit from compositional language structure. [PDF]
Galke L, Ram Y, Raviv L.
europepmc +1 more source
Abstract Objectives Documentation and billing are important and time‐consuming parts of an otolaryngologist's work. Given advancements in machine learning (ML), we evaluated the ability of ML algorithms to use operative notes to classify rhinology procedures by Current Procedural Terminology (CPT®) code.
Christopher P. Cheng+6 more
wiley +1 more source
Individual and contextual factors associated with abortion among reproductive age women in sub-Saharan Africa: Insights from 24 recent demographic and health surveys. [PDF]
Seifu BL+11 more
europepmc +1 more source
Bat algorithm based on kinetic adaptation and elite communication for engineering problems
Abstract The Bat algorithm, a metaheuristic optimization technique inspired by the foraging behaviour of bats, has been employed to tackle optimization problems. Known for its ease of implementation, parameter tunability, and strong global search capabilities, this algorithm finds application across diverse optimization problem domains. However, in the
Chong Yuan+6 more
wiley +1 more source
ABSTRACT Neural machine translation (NMT) has advanced with deep learning and large‐scale multilingual models, yet translating low‐resource languages often lacks sufficient training data and leads to hallucinations. This often results in translated content that diverges significantly from the source text.
Zan Hongying+4 more
wiley +1 more source
Unified Neural Lexical Analysis Via Two‐Stage Span Tagging
ABSTRACT Lexical analysis is a fundamental task in natural language processing, which involves several subtasks, such as word segmentation (WS), part‐of‐speech (POS) tagging, and named entity recognition (NER). Recent works have shown that taking advantage of relatedness between these subtasks can be beneficial.
Yantuan Xian+5 more
wiley +1 more source