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Found 4 papers, 1 papers with code
AraTrust: An Evaluation of Trustworthiness for LLMs in Arabic
Despite some progress in their development, there is a lack of comprehensive trustworthiness evaluation benchmarks which presents a major challenge in accurately assessing and improving the safety of LLMs when prompted in Arabic.
CIDAR: Culturally Relevant Instruction Dataset For Arabic
Instruction tuning has emerged as a prominent methodology for teaching Large Language Models (LLMs) to follow instructions.
Learning to Unlearn: Building Immunity to Dataset Bias in Medical Imaging Studies
As a result, machine learning models do not generalize even when trained on imaging datasets that were captured to study the same variable of interest.
Video Analysis of "YouTube Funnies" to Aid the Study of Human Gait and Falls - Preliminary Results and Proof of Concept
The analysis explores: computing spatiotemporal parameters of gait in a video captured from an arbitrary viewpoint; the relationship between parameters of gait from the last few steps before the obstacle and falling vs. not falling; and the predictive capacity of a multivariate model in predicting a fall in the presence of an unexpected obstacle.
