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Exploring Parameter-Efficient Fine-Tuning Techniques for Code Generation with Large Language Models., , , , и . CoRR, (2023)Generation-based Code Review Automation: How Far Are We?, , , , , и . CoRR, (2023)APIHarvest: Harvesting API Information from Various Online Sources., , , , , , и . CoRR, (2023)Representation Learning for Stack Overflow Posts: How Far Are We?, , , , , , , , и . ACM Trans. Softw. Eng. Methodol., 33 (3): 69:1-69:24 (марта 2024)Representation Learning for Stack Overflow Posts: How Far are We?, , , , , , , , и . CoRR, (2023)LSRepair: Live Search of Fix Ingredients for Automated Program Repair., , , , и . APSEC, стр. 658-662. IEEE, (2018)Where were the repair ingredients for Defects4j bugs?, , , , , , , , , и . Empir. Softw. Eng., 26 (6): 122 (2021)Extracting the Source Code Context to Predict Import Changes using GPES., , , , , , и . KSII Trans. Internet Inf. Syst., 11 (2): 1234-1249 (2017)The Devil is in the Tails: How Long-Tailed Code Distributions Impact Large Language Models., , , , , и . ASE, стр. 40-52. IEEE, (2023)On the efficiency of test suite based program repair: A Systematic Assessment of 16 Automated Repair Systems for Java Programs., , , , , , , , , и . ICSE, стр. 615-627. ACM, (2020)