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Self-Instruct: Aligning Language Models with Self-Generated Instructions., , , , , , and . ACL (1), page 13484-13508. Association for Computational Linguistics, (2023)CODAH: An Adversarially Authored Question-Answer Dataset for Common Sense., , , , and . CoRR, (2019)Generated Knowledge Prompting for Commonsense Reasoning., , , , , , , and . ACL (1), page 3154-3169. Association for Computational Linguistics, (2022)We're Afraid Language Models Aren't Modeling Ambiguity., , , , , , , , and . EMNLP, page 790-807. Association for Computational Linguistics, (2023)Model Selection for Deep Audio Source Separation via Clustering Analysis., , and . DCASE, page 91-95. (2020)DExperts: Decoding-Time Controlled Text Generation with Experts and Anti-Experts., , , , , , and . ACL/IJCNLP (1), page 6691-6706. Association for Computational Linguistics, (2021)A Taxonomy of Ambiguity Types for NLP., , , and . CoRR, (2024)That was the last straw, we need more: Are Translation Systems Sensitive to Disambiguating Context?, , , , and . EMNLP (Findings), page 4555-4569. Association for Computational Linguistics, (2023)On-the-Fly Controlled Text Generation with Experts and Anti-Experts., , , , , , and . CoRR, (2021)Detoxifying Text with MaRCo: Controllable Revision with Experts and Anti-Experts., , , and . ACL (2), page 228-242. Association for Computational Linguistics, (2023)