Results 181 to 190 of about 57,139 (318)
Interdisciplinary Medicine, EarlyView.This review explores the applications of Generative AI (GAI) in medical imaging, with emphasis on its potential to enhance AI training and personalized medicine. The study comprehensively examines frameworks for evaluating the validity of GAI‐generated images while identifying critical challenges including model bias, data augmentation reliability, and
Wenle He +6 more
wiley +1 more source
VideoHallucer: Evaluating Intrinsic and Extrinsic Hallucinations in Large Video-Language Models [PDF]
arXivRecent advancements in Multimodal Large Language Models (MLLMs) have extended their capabilities to video understanding. Yet, these models are often plagued by "hallucinations", where irrelevant or nonsensical content is generated, deviating from the actual video context.
arxiv
Hallucinations [über Halluzinationen]. (Der Nervenarzt, vol. vi, p. 561, Nov., 1933.) Schröder, P. [PDF]
, 1934 S. L. Last
openalex +1 more source
iRADIOLOGY, EarlyView.We conducted a comprehensive literature search in PubMed to illustrate the current landscape of transformer‐based tools from the perspective of transformer's two integral components: encoder exemplified by BERT and decoder characterized by GPT.
Han Yuan
wiley +1 more source
The Effects of Hallucinations in Synthetic Training Data for Relation Extraction [PDF]
arXivRelation extraction is crucial for constructing knowledge graphs, with large high-quality datasets serving as the foundation for training, fine-tuning, and evaluating models. Generative data augmentation (GDA) is a common approach to expand such datasets.
arxiv
Accuracy and reproducibility of ChatGPT responses to real‐world drug information questions
JACCP: JOURNAL OF THE AMERICAN COLLEGE OF CLINICAL PHARMACY, EarlyView.Abstract Introduction The expanding use of Chat Generative Pre‐Trained Transformer (ChatGPT, OpenAI, San Francisco, CA) for drug information may enhance access to information. However, it is crucial to assess the accuracy and reproducibility of ChatGPT responses to drug information questions, examining its utility and limitations in clinical decision ...
Shikha Khatri +3 more
wiley +1 more source
Controlled Automatic Task-Specific Synthetic Data Generation for Hallucination Detection [PDF]
arXivWe present a novel approach to automatically generate non-trivial task-specific synthetic datasets for hallucination detection. Our approach features a two-step generation-selection pipeline, using hallucination pattern guidance and a language style alignment during generation.
arxiv
Journal of Clinical Psychology, Volume 81, Issue 6, Page 516-525, June 2025.ABSTRACT AVATAR therapy (AT) works by facilitating a ‘face‐to‐face’ dialog between the person and a digital representation (avatar) of their persecutory voice. Although there is cumulative evidence of this way of working with voices, enhancing the therapeutic focus on improved confidence and a sense of control of the voices in social situations ...
Mar Rus‐Calafell +10 more
wiley +1 more source