[HTML][HTML] How does ChatGPT perform on the United States Medical Licensing Examination (USMLE)? The implications of large language models for medical education …
Background: Chat Generative Pre-trained Transformer (ChatGPT) is a 175-billion-parameter
natural language processing model that can generate conversation-style responses to user …
natural language processing model that can generate conversation-style responses to user …
Measuring sentence information via Surprisal: theoretical and clinical implications in nonfluent aphasia
N Rezaii, J Michaelov… - Annals of …, 2023 - Wiley Online Library
Objective Nonfluent aphasia is characterized by simplified sentence structures and word‐
level abnormalities, including reduced use of verbs and function words. The predominant …
level abnormalities, including reduced use of verbs and function words. The predominant …
A Temporal Kolmogorov-Arnold Transformer for Time Series Forecasting
R Genet, H Inzirillo - arXiv preprint arXiv:2406.02486, 2024 - arxiv.org
Capturing complex temporal patterns and relationships within multivariate data streams is a
difficult task. We propose the Temporal Kolmogorov-Arnold Transformer (TKAT), a novel …
difficult task. We propose the Temporal Kolmogorov-Arnold Transformer (TKAT), a novel …
A computational approach for measuring sentence information via surprisal: theoretical implications in nonfluent primary progressive aphasia
Nonfluent aphasia is a language disorder characterized by simplified sentence structures as
well as word-level abnormalities such as a reduced use of verbs and function words …
well as word-level abnormalities such as a reduced use of verbs and function words …
Improving ROUGE‐1 by 6%: A novel multilingual transformer for abstractive news summarization
Natural language processing (NLP) has undergone a significant transformation, evolving
from manually crafted rules to powerful deep learning techniques such as transformers …
from manually crafted rules to powerful deep learning techniques such as transformers …
Integrating international Chinese visualization teaching and vocational skills training: leveraging attention-connectionist temporal classification models
Y Yao, Z Dai, M Shahbaz - PeerJ Computer Science, 2024 - peerj.com
The teaching of Chinese as a second language has become increasingly crucial for
promoting cross-cultural exchange and mutual learning worldwide. However, traditional …
promoting cross-cultural exchange and mutual learning worldwide. However, traditional …
Large‐language‐model empowered 3D dose prediction for intensity‐modulated radiotherapy
Background Treatment planning is currently a patient specific, time‐consuming, and
resource demanding task in radiotherapy. Dose‐volume histogram (DVH) prediction plays a …
resource demanding task in radiotherapy. Dose‐volume histogram (DVH) prediction plays a …
Contributions to Econometric and Deep Learning Methods for Time Series Forecasting
H Inzirillo - 2024 - theses.hal.science
This thesis, structured in four distinct parts, contributes to enriching the fields of deep
learning and nonlinear econometrics. Traditional models have often shown weaknesses in …
learning and nonlinear econometrics. Traditional models have often shown weaknesses in …