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The Past, Present and Better Future of Feedback Learning in Large Language Models for Subjective Human Preferences and Values.

, , , , and . EMNLP, page 2409-2430. Association for Computational Linguistics, (2023)

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Dynabench: Rethinking Benchmarking in NLP., , , , , , , , , and 9 other author(s). NAACL-HLT, page 4110-4124. Association for Computational Linguistics, (2021)Improving the Detection of Multilingual Online Attacks with Rich Social Media Data from Singapore., , , , , , and . ACL (1), page 12705-12721. Association for Computational Linguistics, (2023)Detecting weak and strong Islamophobic hate speech on social media., and . CoRR, (2018)Tackling Racial Bias in Automated Online Hate Detection: Towards Fair and Accurate Classification of Hateful Online Users Using Geometric Deep Learning., , and . CoRR, (2021)SemEval-2023 Task 10: Explainable Detection of Online Sexism., , , and . SemEval@ACL, page 2193-2210. Association for Computational Linguistics, (2023)Editorial for Special Issue on Detecting, Understanding and Countering Online Harms., , , and . Online Soc. Networks Media, (2022)XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models., , , , , and . CoRR, (2023)Introducing CAD: the Contextual Abuse Dataset., , , , and . NAACL-HLT, page 2289-2303. Association for Computational Linguistics, (2021)Hatemoji: A Test Suite and Adversarially-Generated Dataset for Benchmarking and Detecting Emoji-Based Hate., , , , and . NAACL-HLT, page 1352-1368. Association for Computational Linguistics, (2022)Two Contrasting Data Annotation Paradigms for Subjective NLP Tasks., , , and . NAACL-HLT, page 175-190. Association for Computational Linguistics, (2022)