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CYCLE: Learning to Self-Refine the Code Generation.

, , , and . Proc. ACM Program. Lang., 8 (OOPSLA1): 392-418 (2024)

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Metric Learning for Adversarial Robustness., , , , and . NeurIPS, page 478-489. (2019)Replay without recording of production bugs for service oriented applications., , , , and . ASE, page 452-463. ACM, (2018)CAMEO: A Causal Transfer Learning Approach for Performance Optimization of Configurable Computer Systems., , , , and . SoCC, page 555-571. ACM, (2023)Evaluating how developers use general-purpose web-search for code retrieval., , , , , , , , and . MSR, page 465-475. ACM, (2018)Touch Me Wear: Getting Physical with Social Networks., , and . CSE (4), page 960-965. IEEE Computer Society, (2009)Testing Deep Neural Network based Image Classifiers., , , and . CoRR, (2019)TRACED: Execution-aware Pre-training for Source Code., , , , , and . ICSE, page 36:1-36:12. ACM, (2024)CodeFort: Robust Training for Code Generation Models., , , , , , , , , and 1 other author(s). CoRR, (2024)Towards Greener Yet Powerful Code Generation via Quantization: An Empirical Study., , , , , , , , , and 6 other author(s). ESEC/SIGSOFT FSE, page 224-236. ACM, (2023)Code-Aware Prompting: A Study of Coverage-Guided Test Generation in Regression Setting using LLM., , , , , , and . Proc. ACM Softw. Eng., 1 (FSE): 951-971 (2024)