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Automating Human Tutor-Style Programming Feedback: Leveraging GPT-4 Tutor Model for Hint Generation and GPT-3.5 Student Model for Hint Validation.

, , , , , , , and . LAK, page 12-23. ACM, (2024)

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Synchromesh: Reliable code generation from pre-trained language models., , , , , , and . CoRR, (2022)Identifying overly strong conditions in refactoring implementations., , and . ICSM, page 173-182. IEEE Computer Society, (2011)On the fly synthesis of edit suggestions., , , , , , , and . Proc. ACM Program. Lang., 3 (OOPSLA): 143:1-143:29 (2019)A Toolset for Checking SPL Refinements., , , and . J. Univers. Comput. Sci., 20 (5): 587-614 (2014)An admission control mechanism for dynamic QoS-enabled opportunistic routing protocols., , , , and . EURASIP J. Wirel. Commun. Netw., (2015)NL2Viz: natural language to visualization via constrained syntax-guided synthesis., , , , , , , , , and . ESEC/SIGSOFT FSE, page 972-983. ACM, (2022)Detecting Overly Strong Preconditions in Refactoring Engines., , , , , and . IEEE Trans. Software Eng., 44 (5): 429-452 (2018)Learning Quick Fixes from Code Repositories., , , , and . SBES, page 74-83. ACM, (2021)Automating Human Tutor-Style Programming Feedback: Leveraging GPT-4 Tutor Model for Hint Generation and GPT-3.5 Student Model for Hint Validation., , , , , , , and . LAK, page 12-23. ACM, (2024)Synchromesh: Reliable Code Generation from Pre-trained Language Models., , , , , , and . ICLR, OpenReview.net, (2022)