Kirito-Elucidator/MathModel-QA-Engine
2026 C 题 F 奖得主开发的数学建模/MCM/ICM O 奖论文 RAG 问答引擎：基于 LlamaIndex 章节级检索，支持年份/题号/章节过滤、建模方法/灵敏度分析/写作结构拆解，帮数模备赛快速复盘高分美赛论文
Why it is useful
MathModel-QA-Engine is a recent open-source project in Machine Learning. It is included because it has recent repository activity and can support mathematical learning, research, modelling, software development, or AI workflows.
Repository at a glance
- Owner: Kirito-Elucidator
- Primary language: Python
- Latest update: 2026-09-20
- Stars / forks: 11 / 0
- License: MIT
- Links: No separate project site was listed.
Good starting points
- Read the project README and installation instructions.
- Try the smallest example before changing parameters or datasets.
- Check tests, issues, and release notes before relying on results in teaching or research.
- Cite the repository and its license when reusing code or figures.
README snapshot
div align="center" 数学建模竞赛论文 RAG 问答引擎 基于 LlamaIndex 构建的检索增强生成（RAG）系统，专为分析 MCM/ICM （说不定还有国赛优化呢） 等数学建模竞赛历年获奖论文而设计。 h2🏆 MCM Finalist Award (F奖)/h2 /div --- ✨ 雄关漫道真如铁，而今迈步从头越 - 从起初的亚太，到不久前的 MathorCup - 从开始连论文排版都不会，到后来被逼成了全栈精通 - 从第一次打美赛拿到 S，到那天早上看到队友发来的 F 截图 感谢一直屡败屡战、反思调整的自己，也感谢一路以来共同进步、并肩作战的队友。🤝 旅程还没结束，还要复仇国赛！💪 --- p align="center" img src="assets/来时路1.jpg" alt="来时路 1" height="280" / img src="assets/来时路2.jpg" alt="来时路 2" height="280" / /p p align="center" img src="assets/架构图.png" alt="系统架构图" / /p 一切都启发于我在打美赛前准备阅读往年 O 奖论文时的苦痛，当时就联想到之前打别的比赛学习的 RAG 技