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Specific versus General Principles for Constitutional AI., , , , , , , , , and 26 other author(s). CoRR, (2023)Few-shot Adaptation Works with UnpredicTable Data., , , , and . CoRR, (2022)Towards Understanding Sycophancy in Language Models., , , , , , , , , and 9 other author(s). CoRR, (2023)Case-based Reasoning for Natural Language Queries over Knowledge Bases., , , , , , , , and . EMNLP (1), page 9594-9611. Association for Computational Linguistics, (2021)Finding Generalizable Evidence by Learning to Convince Q&A Models., , , , , and . EMNLP/IJCNLP (1), page 2402-2411. Association for Computational Linguistics, (2019)Rissanen Data Analysis: Examining Dataset Characteristics via Description Length., , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 8500-8513. PMLR, (2021)ELI5: Long Form Question Answering., , , , , and . ACL (1), page 3558-3567. Association for Computational Linguistics, (2019)Discovering Language Model Behaviors with Model-Written Evaluations., , , , , , , , , and 53 other author(s). ACL (Findings), page 13387-13434. Association for Computational Linguistics, (2023)Inverse Scaling: When Bigger Isn't Better., , , , , , , , , and 17 other author(s). Trans. Mach. Learn. Res., (2023)FiLM: Visual Reasoning with a General Conditioning Layer., , , , and . CoRR, (2017)