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Distilling Transformers for Neural Cross-Domain Search., , , and . CoRR, (2021)Predictability and Surprise in Large Generative Models., , , , , , , , , and 20 other author(s). CoRR, (2022)CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation., , , , , , , , , and 12 other author(s). NeurIPS Datasets and Benchmarks, (2021)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)Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned., , , , , , , , , and 26 other author(s). CoRR, (2022)DeepDebug: Fixing Python Bugs Using Stack Traces, Backtranslation, and Code Skeletons., , , and . CoRR, (2021)In-context Learning and Induction Heads., , , , , , , , , and 16 other author(s). CoRR, (2022)PyMT5: multi-mode translation of natural language and Python code with transformers., , , , and . EMNLP (1), page 9052-9065. Association for Computational Linguistics, (2020)Long-Range Modeling of Source Code Files with eWASH: Extended Window Access by Syntax Hierarchy., , , , , , , and . EMNLP (1), page 4713-4722. Association for Computational Linguistics, (2021)