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

, , , , and . CoRR, (2023)

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What You Say and How You Say it: Joint Modeling of Topics and Discourse in Microblog Conversations., , , , , and . CoRR, (2019)Prompt Tuning in Code Intelligence: An Experimental Evaluation., , , , , and . IEEE Trans. Software Eng., 49 (11): 4869-4885 (November 2023)On the Reproducibility and Replicability of Deep Learning in Software Engineering., , , , , and . ACM Trans. Softw. Eng. Methodol., 31 (1): 15:1-15:46 (2022)Exact Solutions for the Complex Ginzburg-Landau Equation., , , and . ICEIS (4), page 675-677. SciTePress, (2011)An Empirical Study of Common Challenges in Developing Deep Learning Applications., , , , and . ISSRE, page 104-115. IEEE, (2019)What Changed Your Mind: The Roles of Dynamic Topics and Discourse in Argumentation Process., , , , , and . WWW, page 1502-1513. ACM / IW3C2, (2020)What You See Is What You Get? It Is Not the Case! Detecting Misleading Icons for Mobile Applications., , , , , , and . ISSTA, page 538-550. ACM, (2023)Topic Memory Networks for Short Text Classification., , , , , and . EMNLP, page 3120-3131. Association for Computational Linguistics, (2018)Emerging app issue identification from user feedback: experience on WeChat., , , , , , and . ICSE (SEIP), page 279-288. IEEE / ACM, (2019)CORE: Automating Review Recommendation for Code Changes., , , , and . SANER, page 284-295. IEEE, (2020)