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yzh3434/README.md

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👋 Hello there!

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👨🏻‍💻 About Me

🎓 南京大学 人工智能学院 计算机科学与技术专业 研一在读

🔬 研究方向: 多智能体路径规划

💼 正在寻找 2026 暑期 大模型应用相关实习

✍️ 业余爱好: 健身、阅读

💬 欢迎就 RAG、MAPF、LLM Agent 等话题交流

✉️ 邮箱: yzh1580708947@gmail.com

🎯 Current Focus

探索多智能体路径规划(MAPF)的新型问题

以及 RAG 系统在垂直领域的工程化落地。

🛠 Tech Stack

Python C C++ Java ROS LangChain LangGraph Milvus Neo4j Docker Git GitHub Linux

📊 GitHub Stats

Stats Top Langs

📫 How to reach me

Gmail WeChat

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  1. graphrag-cooking-assistant graphrag-cooking-assistant Public

    基于 Datawhale All-in-RAG(C9)二次开发,构建 Neo4j 图 + Milvus 向量的图RAG 烹饪问答系统。完成四项改进:BM25+RRF 融合、父文档回填、智能路由(规则短路→function-calling)、CRAG 网络纠错;自建 120 题(含 20 道OOD数据)四层评测闭环,其中两项改进已合并入原开源项目。

    Python 2

  2. agent-control-flow-eval agent-control-flow-eval Public

    对比四种大模型智能体控制流(Direct/CoT/ReAct/Reflexion)在 GSM8K 与 HotpotQA 上的任务成功率、交互轮数与 token 开销。

    Python