[HTML][HTML] Unveiling the dark side of chatgpt: Exploring cyberattacks and enhancing user awareness

M Alawida, B Abu Shawar, OI Abiodun, A Mehmood… - Information, 2024 - mdpi.com
The Chat Generative Pre-training Transformer (GPT), also known as ChatGPT, is a powerful
generative AI model that can simulate human-like dialogues across a variety of domains …

Event knowledge in large language models: the gap between the impossible and the unlikely

C Kauf, AA Ivanova, G Rambelli, E Chersoni… - Cognitive …, 2023 - Wiley Online Library
Word co‐occurrence patterns in language corpora contain a surprising amount of
conceptual knowledge. Large language models (LLMs), trained to predict words in context …

Chest X-ray pneumothorax segmentation using U-Net with EfficientNet and ResNet architectures

A Abedalla, M Abdullah, M Al-Ayyoub… - PeerJ Computer …, 2021 - peerj.com
Medical imaging refers to visualization techniques to provide valuable information about the
internal structures of the human body for clinical applications, diagnosis, treatment, and …

Assessment of chemistry knowledge in large language models that generate code

AD White, GM Hocky, HA Gandhi, M Ansari, S Cox… - Digital …, 2023 - pubs.rsc.org
In this work, we investigate the question: do code-generating large language models know
chemistry? Our results indicate, mostly yes. To evaluate this, we introduce an expandable …

Intermediate-task transfer learning with BERT for sarcasm detection

E Savini, C Caragea - Mathematics, 2022 - mdpi.com
Sarcasm detection plays an important role in natural language processing as it can impact
the performance of many applications, including sentiment analysis, opinion mining, and …

Arabic offensive and hate speech detection using a cross-corpora multi-task learning model

W Aldjanabi, A Dahou, MAA Al-Qaness, MA Elaziz… - Informatics, 2021 - mdpi.com
As social media platforms offer a medium for opinion expression, social phenomena such as
hatred, offensive language, racism, and all forms of verbal violence have increased …

Lexical-semantic content, not syntactic structure, is the main contributor to ANN-brain similarity of fMRI responses in the language network

C Kauf, G Tuckute, R Levy, J Andreas… - Neurobiology of …, 2024 - direct.mit.edu
Abstract Representations from artificial neural network (ANN) language models have been
shown to predict human brain activity in the language network. To understand what aspects …