This paper presents the results of the news translation task, the multilingual low-resource
translation for Indo-European languages, the triangular translation task, and the automatic …

Data representativity is crucial when drawing inference from data through machine learning
models. Scholars have increased focus on unraveling the bias and fairness in models, also …

Human-centric computer vision (HCCV) data curation practices often neglect privacy and
bias concerns, leading to dataset retractions and unfair models. HCCV datasets constructed …

Linguistic acceptability (LA) attracts the attention of the research community due to its many
uses, such as testing the grammatical knowledge of language models and filtering …

Recent advances in zero-shot and few-shot learning have shown promise for a scope of
research and practical purposes. However, this fast-growing area lacks standardized …

Speech recognition is a technology that aims to transform human speech into text and has
applications in a variety of fields, including information technology, healthcare, automobiles …

Quality control is a crux of crowdsourcing. While most means for quality control are
organizational and imply worker selection, golden tasks, and post-acceptance …

Quality control is a crux of crowdsourcing. While most means for quality control are
organizational and imply worker selection, golden tasks, and post-acceptance …

Human-centric computer vision (HCCV) data curation practices often neglect privacy and
bias concerns, leading to dataset retractions and unfair models. Further, HCCV datasets …

Today, successful Artificial Intelligence applications rely on three pillars: machine learning
algorithms, hardware for running them, and data for training and evaluating models …