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Constructing Effective In-Context Demonstration for Code Intelligence Tasks: An Empirical Study.

, , , , and . CoRR, (2023)

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CARBON: A Counterfactual Reasoning based Framework for Neural Code Comprehension Debiasing., , , , and . CoRR, (2022)What Makes Good In-Context Demonstrations for Code Intelligence Tasks with LLMs?, , , , , and . ASE, page 761-773. IEEE, (2023)REEF: A Framework for Collecting Real-World Vulnerabilities and Fixes., , , , , , , and . ASE, page 1952-1962. IEEE, (2023)Dynamically Relative Position Encoding-Based Transformer for Automatic Code Edit., , , , , , and . IEEE Trans. Reliab., 72 (3): 1147-1160 (September 2023)Constructing Effective In-Context Demonstration for Code Intelligence Tasks: An Empirical Study., , , , and . CoRR, (2023)Keeping Pace with Ever-Increasing Data: Towards Continual Learning of Code Intelligence Models., , , and . ICSE, page 30-42. IEEE, (2023)Domain Knowledge Matters: Improving Prompts with Fix Templates for Repairing Python Type Errors., , , , and . ICSE, page 4:1-4:13. ACM, (2024)BadCS: A Backdoor Attack Framework for Code search., , , , and . CoRR, (2023)Two Sides of the Same Coin: Exploiting the Impact of Identifiers in Neural Code Comprehension., , , , , and . ICSE, page 1933-1945. IEEE, (2023)SCALE: Constructing Structured Natural Language Comment Trees for Software Vulnerability Detection., , , , and . CoRR, (2024)