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The research of open-domain dialog systems has been greatly prospered by neural models trained on large-scale corpora, however, such corpora often introduce various safety problems (e.g., offensive languages, biases, and toxic behaviors) that significantly hinder the deployment of dialog systems in practice.
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伟大的男人和倔强的女人:基于语料库的形容词性别偏度历时研究(great males and stubborn females: A diachronic study of corpus-based gendered skewness in Chinese adjectives)
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Lamda: Language models for dialog applications
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SaFeRDialogues: Taking feedback gracefully after conversational safety failures
Megan Ung, Jing Xu, and Y-Lan Boureau. 2022 · 2022
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The moral integrity corpus: A benchmark for ethical dialogue systems
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