Introduces the Annotation Scarcity Paradox to describe how model scaling in low-resource NLP outpaces the human expertise required for authentic evaluation, threatening the validity of reported progress.
Large image datasets: A pyrrhic win for computer vision? In 2021 IEEE Winter Conference on Applications of Computer Vision (WACV) , pages 1536--1546
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The Annotation Scarcity Paradox in Low-Resource NLP Evaluation: A Decade of Acceleration and Emerging Constraints
Introduces the Annotation Scarcity Paradox to describe how model scaling in low-resource NLP outpaces the human expertise required for authentic evaluation, threatening the validity of reported progress.