PPM: Automated Generation of Diverse Programming Problems for Benchmarking Code Generation Models
Simin Chen,
XiaoNing Feng,
Xiaohong Han
et al.
Abstract:In recent times, a plethora of Large Code Generation Models (LCGMs) have been proposed, showcasing significant potential in assisting developers with complex programming tasks. Within the surge of LCGM proposals, a critical aspect of code generation research involves effectively benchmarking the programming capabilities of models.
Benchmarking LCGMs necessitates the creation of a set of diverse programming problems, and each problem comprises the prompt (including the task description), canonical solution, … Show more
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