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09/14/2023
Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow Instructions
Training large language models to follow instructions makes them perform...
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08/02/2023
XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models
Without proper safeguards, large language models will readily follow mal...
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06/20/2023
The Ecological Fallacy in Annotation: Modelling Human Label Variation goes beyond Sociodemographics
Many NLP tasks exhibit human label variation, where different annotators...
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03/09/2023
Personalisation within bounds: A risk taxonomy and policy framework for the alignment of large language models with personalised feedback
Large language models (LLMs) are used to generate content for a wide ran...
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03/07/2023
SemEval-2023 Task 10: Explainable Detection of Online Sexism
Online sexism is a widespread and harmful phenomenon. Automated tools ca...
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10/20/2022
Data-Efficient Strategies for Expanding Hate Speech Detection into Under-Resourced Languages
Hate speech is a global phenomenon, but most hate speech datasets so far...
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06/20/2022
Multilingual HateCheck: Functional Tests for Multilingual Hate Speech Detection Models
Hate speech detection models are typically evaluated on held-out test se...
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12/14/2021
Two Contrasting Data Annotation Paradigms for Subjective NLP Tasks
Labelled data is the foundation of most natural language processing task...
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08/12/2021
Hatemoji: A Test Suite and Adversarially-Generated Dataset for Benchmarking and Detecting Emoji-based Hate
Detecting online hate is a complex task, and low-performing models have ...
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04/16/2021
Temporal Adaptation of BERT and Performance on Downstream Document Classification: Insights from Social Media
Language use differs between domains and even within a domain, language ...
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12/31/2020
