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AI safety by debate via regret minimization., , , and . CoRR, (2023)Latent State Models of Training Dynamics., , , and . CoRR, (2023)Adversarially Constructed Evaluation Sets Are More Challenging, but May Not Be Fair., , , and . CoRR, (2021)EvoPrompting: Language Models for Code-Level Neural Architecture Search., , and . CoRR, (2023)Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models., , , , , , , , , and 42 other author(s). CoRR, (2022)BBQ: A Hand-Built Bias Benchmark for Question Answering., , , , , , , and . CoRR, (2021)What Do NLP Researchers Believe? Results of the NLP Community Metasurvey., , , , , , , , , and 1 other author(s). CoRR, (2022)Improving Code Generation by Training with Natural Language Feedback., , , , , , , and . CoRR, (2023)What Do NLP Researchers Believe? Results of the NLP Community Metasurvey., , , , , , , , , and 1 other author(s). ACL (1), page 16334-16368. Association for Computational Linguistics, (2023)Pretraining Language Models with Human Preferences., , , , , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 17506-17533. PMLR, (2023)