An Empirical Study on Influence-Based Pretraining Data Selection for Code Large Language Models

Chengli Xing, Zhengran Zeng, Gexiang Fang +3

Recent advancements in code large language models (Code-LLMs) have demonstrated remarkable capabilities in resolving programming related tasks. Meanwhile, researchers have recogniz…