A literature survey of recent advances in chatbots

G Caldarini, S Jaf, K McGarry - Information, 2022 - mdpi.com
Chatbots are intelligent conversational computer systems designed to mimic human
conversation to enable automated online guidance and support. The increased benefits of …

A survey on deep learning-based change detection from high-resolution remote sensing images

H Jiang, M Peng, Y Zhong, H Xie, Z Hao, J Lin, X Ma… - Remote Sensing, 2022 - mdpi.com
Change detection based on remote sensing images plays an important role in the field of
remote sensing analysis, and it has been widely used in many areas, such as resources …

[HTML][HTML] How does ChatGPT perform on the United States Medical Licensing Examination (USMLE)? The implications of large language models for medical education …

A Gilson, CW Safranek, T Huang, V Socrates… - JMIR medical …, 2023 - mededu.jmir.org
Background: Chat Generative Pre-trained Transformer (ChatGPT) is a 175-billion-parameter
natural language processing model that can generate conversation-style responses to user …

Is chatgpt a good recommender? a preliminary study

J Liu, C Liu, P Zhou, R Lv, K Zhou, Y Zhang - arXiv preprint arXiv …, 2023 - arxiv.org
Recommendation systems have witnessed significant advancements and have been widely
used over the past decades. However, most traditional recommendation methods are task …

The political biases of chatgpt

D Rozado - Social Sciences, 2023 - mdpi.com
Recent advancements in Large Language Models (LLMs) suggest imminent commercial
applications of such AI systems where they will serve as gateways to interact with …

Msft-yolo: Improved yolov5 based on transformer for detecting defects of steel surface

Z Guo, C Wang, G Yang, Z Huang, G Li - Sensors, 2022 - mdpi.com
With the development of artificial intelligence technology and the popularity of intelligent
production projects, intelligent inspection systems have gradually become a hot topic in the …

Beyond semantic distance: Automated scoring of divergent thinking greatly improves with large language models

P Organisciak, S Acar, D Dumas… - Thinking Skills and …, 2023 - Elsevier
Automated scoring for divergent thinking (DT) seeks to overcome a key obstacle to creativity
measurement: the effort, cost, and reliability of scoring open-ended tests. For a common test …

Finbert: Financial sentiment analysis with pre-trained language models

D Araci - arXiv preprint arXiv:1908.10063, 2019 - arxiv.org
Financial sentiment analysis is a challenging task due to the specialized language and lack
of labeled data in that domain. General-purpose models are not effective enough because of …

Using ChatGPT for human–computer interaction research: a primer

W Tabone, J De Winter - Royal Society Open Science, 2023 - royalsocietypublishing.org
ChatGPT could serve as a tool for text analysis within the field of Human–Computer
Interaction, though its validity requires investigation. This study applied ChatGPT to:(1) …

A survey on generative adversarial networks for imbalance problems in computer vision tasks

V Sampath, I Maurtua, JJ Aguilar Martin, A Gutierrez - Journal of big Data, 2021 - Springer
Any computer vision application development starts off by acquiring images and data, then
preprocessing and pattern recognition steps to perform a task. When the acquired images …