Results 101 to 110 of about 16,870 (197)

Support Neighbor Loss for Person Re-Identification

, 2018
Person re-identification (re-ID) has recently been tremendously boosted due to the advancement of deep convolutional neural networks (CNN). The majority of deep re-ID methods focus on designing new CNN architectures, while less attention is paid on ...
Ding, Zhengming, Fu, Yun, Li, Kai, Li, Kunpeng, Zhang, Yulun   +4 more
core   +1 more source

Can a large language model create acceptable dental board-style examination questions? A cross-sectional prospective study

Journal of Dental Sciences
Background/purpose: Numerous studies have shown that large language models (LLMs) can score above the passing grade on various board examinations. Therefore, this study aimed to evaluate national dental board-style examination questions created by an LLM
Hak-Sun Kim, Gyu-Tae Kim
doaj   +1 more source

Learning long-range spatial dependencies with horizontal gated-recurrent units

, 2018
Progress in deep learning has spawned great successes in many engineering applications. As a prime example, convolutional neural networks, a type of feedforward neural networks, are now approaching -- and sometimes even surpassing -- human accuracy on a ...
Kim, Junkyung, Linsley, Drew, Serre, Thomas, Veerabadran, Vijay   +3 more
core   +1 more source

Prompt Engineering Strategies for Generating Medical Case-Based MCQs with Large Language Models: A Multi-Model Comparative Study

Machine Learning and Knowledge Extraction
The use of large language models (LLMs) to automate the generation of medical case-based multiple-choice questions (MCQs) is increasing, but their accuracy, reliability, and educational validity are still not well understood.
Somaiya Al Shuraiqi, Adhari AlZaabi, Abdulrahman Aal Abdulsalam   +2 more
doaj   +1 more source

Highly efficient attentional selection of colors despite high target-distractor similarity

Journal of Vision, 2023
Angus Chapman, Viola Störmer
openaire   +1 more source

Analysis of Distractor Efficiency of the Multiple-choice Comprehensive Examination for Technical-vocational Pre-service Students

International Journal For Multidisciplinary Research
This study investigated the distractor efficiency of 150 multiple-choice questions (MCQs) from a comprehensive examination for pre-service teachers. Data from a total of eighty-five graduating Bachelor of Technology and Livelihood Education students majoring in Home Economics were used in the analysis.
Rojen Mae N. Dayadaya -, Nivea Louwah D. Sermona -   +1 more
openaire   +1 more source

Vertical Elevation as a Key Factor for the Neural Distinction of Target Selection and Distractor Suppression in Visual Search

Journal of Integrative Neuroscience
Background: Directing attention to relevant visual objects while ignoring distracting stimuli is crucial for effective perception and goal-directed behavior. Event-related potential (ERP) studies using the additional-singleton paradigm
Yanzhang Chen, Paola Sessa, Sabrina Brigadoi, Alberto Petrin, Suiping Wang, Roberto Dell’Acqua   +5 more
doaj   +1 more source

Analogical Structure, Minimal Contextual Cues and Contrastive Distractors: Input Design for Sample-Efficient Linguistic Rule Induction

Large language models achieve strong performance through training on vast datasets. Can analogical paradigm organization enable lightweight models to match this performance with minimal data? We develop a computational approach implementing three cognitive-inspired principles: analogical structure, contrastive learning, and minimal contextual cues.
Jiang, Chunyang, Merlo, Paola
openaire   +2 more sources

Developing an Automated Tool for Psychometric Evaluation and Exam Quality Indexing of Multiple-Choice Questions (MCQs): Phase I Study

Journal of Psychometric Research
Accurate educational assessment is critical for evaluating student learning and advancing instructional practices. Despite the robustness of Classical Test Theory (CTT) in assessing exam quality, its statistical complexity often limits its practical ...
Mohammad A. Elmorsy, Doaa El Morsi
doaj   +1 more source

Item analysis of multiple-choice questions in pharmacology among medical undergraduates

National Journal of Physiology, Pharmacy and Pharmacology
Background: Assessment plays an essential role in the evaluation of learning, and multiple-choice questions (MCQs) are one of the components of examinations.
Mangala Srinivas, Chandralekha Netharakere, Padmaja Udaykumar, Nicole Pereira   +3 more
doaj   +1 more source