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TRACED: Execution-aware Pre-training for Source Code., , , , , and . ICSE, page 36:1-36:12. ACM, (2024)CYCLE: Learning to Self-Refine the Code Generation., , , and . Proc. ACM Program. Lang., 8 (OOPSLA1): 392-418 (2024)Patching as Translation: the Data and the Metaphor., , , and . ASE, page 275-286. IEEE, (2020)Vulnerability Detection with Code Language Models: How Far Are We?, , , , , , , , and . CoRR, (2024)CoCoMIC: Code Completion by Jointly Modeling In-file and Cross-file Context., , , , , , , and . LREC/COLING, page 3433-3445. ELRA and ICCL, (2024)Beyond Accuracy: Evaluating Self-Consistency of Code Large Language Models with IdentityChain., , , , , , and . ICLR, OpenReview.net, (2024)Beyond Accuracy: Evaluating Self-Consistency of Code Large Language Models with IdentityChain., , , , , , and . CoRR, (2023)VELVET: a noVel Ensemble Learning approach to automatically locate VulnErable sTatements., , , , , , and . SANER, page 959-970. IEEE, (2022)Towards Learning (Dis)-Similarity of Source Code from Program Contrasts., , , , , and . ACL (1), page 6300-6312. Association for Computational Linguistics, (2022)CrossCodeEval: A Diverse and Multilingual Benchmark for Cross-File Code Completion., , , , , , , , , and 1 other author(s). NeurIPS, (2023)