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fannie1208/README.md
  • 👋 I do research on LLMs at Stanford University
  • 👀 I’m interested in various topics including continual learning, collective intelligence, evaluation science, etc
  • 💞️ Please refer to my CV
  • 📫 Email: niefan@stanford.edu or niefan1208@gmail.com

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  1. GLIND GLIND Public

    [ICML2024] Learning Divergence Fields for Shift-Robust Graph Representations

    Python 11 3

  2. CaNet CaNet Public

    [WWW2024 Oral] "Graph Out-of-Distribution Generalization via Causal Intervention”.

    Python 27 1

  3. W4S W4S Public

    [COLM2025] "Weak-for-Strong: Training Weak Meta-Agent to Harness Strong Executors"

    Python 57 4

  4. FactTest FactTest Public

    [ICML2025] "FactTest: Factuality Testing in Large Language Models with Finite-Sample and Distribution-Free Guarantees"

    Python 9 1

  5. uq-project/UQ uq-project/UQ Public

    UQ: Assessing Language Models on Unsolved Questions

    Python 30 4

  6. DSGym DSGym Public

    A holistic framework for advancing LLMs as data science agents

    Python 51 9