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Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned., , , , , , , , , and 26 other author(s). CoRR, (2022)A General Language Assistant as a Laboratory for Alignment., , , , , , , , , and 12 other author(s). CoRR, (2021)Generating Code with the Help of Retrieved Template Functions and Stack Overflow Answers., , , , and . CoRR, (2021)Predictability and Surprise in Large Generative Models., , , , , , , , , and 20 other author(s). CoRR, (2022)Distilling Transformers for Neural Cross-Domain Search., , , and . CoRR, (2021)CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation., , , , , , , , , and 12 other author(s). NeurIPS Datasets and Benchmarks, (2021)DeepDebug: Fixing Python Bugs Using Stack Traces, Backtranslation, and Code Skeletons., , , and . CoRR, (2021)Generating Accurate Assert Statements for Unit Test Cases using Pretrained Transformers., , , and . AST@ICSE, page 54-64. ACM/IEEE, (2022)In-context Learning and Induction Heads., , , , , , , , , and 16 other author(s). CoRR, (2022)Discovering Language Model Behaviors with Model-Written Evaluations., , , , , , , , , and 53 other author(s). ACL (Findings), page 13387-13434. Association for Computational Linguistics, (2023)