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eachsheep/README.md

Hi there👋

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Short Bio

  • 🎓 From September 2022, Haiyang started his Ph.D. degree in computer software and theory in School of Computer Science of Peking University.

  • 🏅 Haiyang received his B.E degree from School of Computer Science in Northwestern Polytechnical University in June 2022.

  • 🌱 My research interests lie in agents based on large models (LLMs/MLMs). Specifically, I am interested in:

    • 🔗 The integration of LMs with APIs (tools).
    • 🛠 The software engineering challenges associated with the integration.
    • 📱 The applications of LMs on edge devices.
  • 📚 My research group primarily focuses on system software, including machine learning systems, serverless computing, web systems, software engineering, and etc. In my first year of Ph.D., I studied anomaly detection, federated learning, inference optimization for LLMs in the cloud, etc.

  • 🔍 Throughout my studies from system software to deep learning, I have gained knowledge in various areas including methods and applications of natural language processing, retrieval systems, data analysis and mining, acceleration, and application of machine learning systems.

📫 Correspondence

🌟 Others

  • 🖋 My introduction at here.

📓 Gists I wrote

⭐ Recent Stars

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  1. Alibaba-NLP/DeepResearch Alibaba-NLP/DeepResearch Public

    Tongyi Deep Research, the Leading Open-source Deep Research Agent

    Python 16.2k 1.2k

  2. gta0804/MASS gta0804/MASS Public

    Official implementation of MASS: Multi-Agent Simulation Scaling for Portfolio Construction

    Python 150 17

  3. ShortcutsBench ShortcutsBench Public

    ShortcutsBench: A Large-Scale Real-World Benchmark for API-Based Agents

    Python 104 4

  4. RAGSynth RAGSynth Public

    The implementation of RAGSynth: Synthetic Data for Robust and Faithful RAG Component Optimization

    Python 21 3

  5. AbnormalDetection AbnormalDetection Public

    ADPal: Automatic Detection of Troubled Users in Online Service Systems via Page Access Logs

    Python 1

  6. blog blog Public

    My personal introduction

    HTML 1