3 citations · 3 across the 3 of their papers we have counts for
3 papers
Can Large Language Models Learn Formal Logic? A Data-Driven Training and Evaluation Framework
Yuan Xia, Akanksha Atrey, Fadoua Khmaissia +1
This paper investigates the logical reasoning capabilities of large language models (LLMs). For a precisely defined yet tractable formulation, we choose the conceptually simple but…
Confidence-Guided Data Augmentation for Improved Semi-Supervised Training
Fadoua Khmaissia, Hichem Frigui
We propose a new strategy to improve the accuracy and robustness of image classification. First, we train a baseline CNN model. Then, we identify challenging regions in the feature…
An Unsupervised Machine Learning Approach to Assess the ZIP Code Level Impact of COVID-19 in NYC
Fadoua Khmaissia, Pegah Sagheb Haghighi, Aarthe Jayaprakash +4
New York City has been recognized as the world's epicenter of the novel Coronavirus pandemic. To identify the key inherent factors that are highly correlated to the Increase Rate o…