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Subasa - Adapting Language Models for Low-resourced Offensive Language Detection in Sinhala
Accurate detection of offensive language is essential for a number of applications related to social media safety. There is a sharp …
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ARTICLE: Annotator Reliability Through In-Context Learning
Ensuring annotator quality in training and evaluation data is a key piece of machine learning in NLP. Tasks such as sentiment analysis …
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ARTICLE: Annotator Reliability Through In-Context Learning
Rater Cohesion and Quality from a Vicarious Perspective
Human feedback is essential for building human-centered AI systems across domains where disagreement is prevalent, such as AI safety, …
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