这项由北京航空航天大学的杨健、国鑫、林静等研究者联合优矿公司和中国人民大学人工智能学院团队完成的突破性研究，发表于2025年12月的arXiv预印本（论文编号：2512.13472v1），是全球首次系统性探索多语言编程训练规律的重要成果。

在代码大模型（Code LLMs）的预训练中，行业内长期存在一种惯性思维，即把所有编程语言的代码都视为同质化的文本数据，主要关注数据总量的堆叠。然而，现代软件开发本质上是多语言混合的，不同语言的语法特性、语料规模和应用场景差异巨大。如果忽略这些差异，笼统地应用通用的 Scaling Laws，往往会导致性能预测偏差和算力浪费。

全球开发者数量激增，GenAI 项目呈爆炸式增长趋势，推动编程语言的应用格局也发生了巨大变化，最新的 GitHub Octoverse 报告来了！ Python 首次超越 JavaScript，成为 GitHub 平台最顶级编程语言 不同于流传“AI 即将取代程序员”的种种言论，GitHub 在最新发布的 2024 ...

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In Reorganizing XML Sitemaps with Python for Fun & Profit, I covered how to reorganize XML sitemaps to isolate indexing problems. Let’s say you followed that process and now you have dozens of ...