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Found 3 papers, 1 papers with code
TIGQA:An Expert Annotated Question Answering Dataset in Tigrinya
The absence of explicitly tailored, accessible annotated datasets for educational purposes presents a notable obstacle for NLP tasks in languages with limited resources. This study initially explores the feasibility of using machine translation (MT) to convert an existing dataset into a Tigrinya dataset in SQuAD format.
How Real Is Real? A Human Evaluation Framework for Unrestricted Adversarial Examples
However, surveying existing image-based methods, we noticed a need for more human evaluations of the proposed image modifications.
A Review of the Role of Causality in Developing Trustworthy AI Systems
This review aims to provide the reader with an overview of causal methods that have been developed to improve the trustworthiness of AI models.
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