Code Less, Align More: Efficient LLM Fine-tuning for Code Generation with Data Pruning

Yun-Da Tsai, Mingjie Liu, Haoxing Ren

Recent work targeting large language models (LLMs) for code generation demonstrated that increasing the amount of training data through synthetic code generation often leads to exc…