Generating Alzheimer's narratives using large language models. [PDF]
Perez-Toro PA +4 more
europepmc +1 more source
Syntax Savants-UA at IberLEF 2024: Leveraging FLAN-T5-XXL for Automatic 5W1H Identification in Texts [PDF]
The 5W1H technique involves formulating six questions to briefly capture the basic information of a news text: What, When, Where, Who, Why, and How. This method enables an easy understanding of the news.
Begga, Ahmed, Grande Ruiz, Eduardo
core
LLMs achieve adult human performance on higher-order theory of mind tasks. [PDF]
Street W +9 more
europepmc +1 more source
A psychometric framework for evaluating and shaping personality traits in large language models. [PDF]
Serapio-García G +8 more
europepmc +1 more source
Multi-Modal Anomaly Detection in Review Texts with Sensor-Derived Metadata Using Instruction-Tuned Transformers. [PDF]
Alhawiti KM.
europepmc +1 more source
Commentaire de l’auteur en 2019 : En arrière plan, sommet rocheux de l'Annapurna II (7937 m), et barres du Massif du Lamjung Himal (6983 m).Légende manuscrite sur le document original : "Madi khola, flan sud Annapurna. Village de Sikkis." Géolocalisation
Fort, Monique
core
Scalable extraction of social determinants of health from clinical notes in a sepsis cohort using instruction-tuned language models. [PDF]
Salazar D +3 more
europepmc +1 more source
A large-scale evaluation of commonsense knowledge in humans and large language models. [PDF]
Nguyen TD, Watts DJ, Whiting ME.
europepmc +1 more source
Interpretable multimodal reasoning for robo-advisory: the FinErva framework. [PDF]
Chi J.
europepmc +1 more source
Large Language Models for Detecting Bias in Job Descriptions
This study explores the application of large language (LLM) models for detecting implicit bias in job descriptions, an important concern in human resources that shapes applicant pools and influences employer perception.
Tristan Everitt +3 more
doaj

