On the Effectiveness of Training Data Optimization for LLM-based Code Generation: An Empirical Study
Large language models (LLMs) have achieved remarkable progress in code generation, largely driven by the availability of high-quality code datasets for effective training. To further improve data quality, numerous training data optimization techniques have been proposed; however, their overall effectiveness has not bee...
Shiqi Kuang, Zhao Tian, Tao Xiao et al.
· ACM Transactions on Software... · 0 citations