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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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Handling and Presenting Harmful Text in NLP Research., , , and . EMNLP (Findings), page 497-510. Association for Computational Linguistics, (2022)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)SemEval-2023 Task 10: Explainable Detection of Online Sexism., , , and . SemEval@ACL, page 2193-2210. Association for Computational Linguistics, (2023)How True is GPT-2? An Empirical Analysis of Intersectional Occupational Biases., , , , , , , and . CoRR, (2021)A Prompt Array Keeps the Bias Away: Debiasing Vision-Language Models with Adversarial Learning., , , , , and . AACL/IJCNLP (1), page 806-822. Association for Computational Linguistics, (2022)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)Casteist but Not Racist? Quantifying Disparities in Large Language Model Bias between India and the West., , , , and . CoRR, (2023)Assessing Language Model Deployment with Risk Cards., , , , , , and . CoRR, (2023)Hatemoji: A Test Suite and Adversarially-Generated Dataset for Benchmarking and Detecting Emoji-based Hate., , , , and . CoRR, (2021)Auditing large language models: a three-layered approach., , , and . CoRR, (2023)