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Toxicity detection sensitive to conversational context., , , , , and . First Monday, (2022)Toxicity Detection can be Sensitive to the Conversational Context., , , , , and . CoRR, (2021)Augmenting the User-Item Graph with Textual Similarity Models., , , , , and . CoRR, (2021)Detecting Hallucination and Coverage Errors in Retrieval Augmented Generation for Controversial Topics., , , , , , and . CoRR, (2024)Basic Elements of Logical Graphs.. CoRR, (2022)GLaM: Efficient Scaling of Language Models with Mixture-of-Experts., , , , , , , , , and 17 other author(s). ICML, volume 162 of Proceedings of Machine Learning Research, page 5547-5569. PMLR, (2022)Toxicity Detection: Does Context Really Matter?, , , , and . ACL, page 4296-4305. Association for Computational Linguistics, (2020)Scheme-Based Synthesis of Inductive Theories., , , and . MICAI (1), volume 6437 of Lecture Notes in Computer Science, page 348-361. Springer, (2010)Nuanced Metrics for Measuring Unintended Bias with Real Data for Text Classification., , , , and . WWW (Companion Volume), page 491-500. ACM, (2019)Limitations of Pinned AUC for Measuring Unintended Bias., , , , , and . CoRR, (2019)