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@ai-for-edu

AI for Education

About Us:

We are a group of AI Researchers and Engineers, led by Dr. Qingsong Wen from Squirrel AI. Motivated by challenging problems arising from industry, we are working on AI for Education (AI4EDU) via AI technologies (like LLM, AI Agent, GenAI, Transformer, SSL, GNN, XAI, etc.).

Our Workshop on AI for Education:

  • AAAI 2025 Workshop on AI for Education: Tools, Opportunities, and Risks in the Generative AI Era (AAAI'25-AI4EDU) [Link]
  • KDD 2024 Workshop on AI for Education (AI4EDU): Advancing Personalized Education with LLM and Adaptive Learning (KDD'24-AI4EDU) [Link]
  • IEEE CAI 2024 Workshop on AI for Education: Exploring LLMs and Adaptive Learning for Personalized Education, [Link]

Our Papers on AI for Education:

  • AI-Driven Virtual Teacher for Enhanced Educational Efficiency: Leveraging Large Pretrain Models for Autonomous Error Analysis and Correction, AAAI 2025, (AAAI/IAAI 2025 Deployed Application Award). [arXiv]
  • Knowledge Tagging with Large Language Model based Multi-Agent System, AAAI 2025, (AAAI/IAAI 2025 Deployed Application Award). [arXiv]
  • ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection, arXiv 2024. [arXiv]
  • Knowledge Tagging System on Math Questions via LLMs with Flexible Demonstration Retriever, arXiv 2024. [arXiv]
  • Evaluating Large Language Models with Educational Knowledge Graphs: Challenges with Prerequisite Relationships and Multi-Hop Reasoning, arXiv 2024. [repo]
  • CulturePark: Boosting Cross-cultural Understanding in Large Language Models, NeurIPS 2024. [paper]
  • Mind Scramble: Unveiling Large Language Model Psychology Via Typoglycemia, arXiv 2024. [arXiv]

Our Survey/Position on AI for Education:

  • Foundation Models for Education: Promises and Prospects, IEEE Intelligent Systems, 2024. [arXiv]
  • Large Language Models for Education: A Survey and Outlook, 2024. [arXiv]
  • Bringing Generative AI to Adaptive Learning in Education, 2024. [arXiv]
  • Developing and Deploying Industry Standards for Artificial Intelligence in Education (AIED): Challenges, Strategies, and Future Directions, 2024. [arXiv]
  • Time Series Analysis for Education: Methods, Applications, and Future Directions, 2024. [arXiv]

Openings:

We are happy to hire Applied Scientists, AI Engineers, Data Scientists, and Research Interns in both Bellevue (US) and Shanghai (China) for cutting-edge R&D on AI for Education. Please contact qingsongwen@squirrelai.com.

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  1. time-series-analysis-for-education time-series-analysis-for-education Public

    The collection of related papers and resources for the paper Time Series Analysis for Education: Methods, Applications, and Future Directions.

    11 2

  2. Evaluating-Large-Language-Models-with-Educational-Knowledge-Graphs-on-Prerequisite-Relationships Evaluating-Large-Language-Models-with-Educational-Knowledge-Graphs-on-Prerequisite-Relationships Public

    Official Implementation of 'Evaluating Large Language Models with Educational Knowledge Graphs: Challenges with Prerequisite Relationships and Multi-Hop Reasoning'

    Jupyter Notebook 7 2

  3. .github .github Public

  4. ai-for-edu.github.io ai-for-edu.github.io Public

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  • time-series-analysis-for-education Public

    The collection of related papers and resources for the paper Time Series Analysis for Education: Methods, Applications, and Future Directions.

    ai-for-edu/time-series-analysis-for-education’s past year of commit activity
    11 Apache-2.0 2 0 0 Updated Aug 26, 2024
  • Evaluating-Large-Language-Models-with-Educational-Knowledge-Graphs-on-Prerequisite-Relationships Public

    Official Implementation of 'Evaluating Large Language Models with Educational Knowledge Graphs: Challenges with Prerequisite Relationships and Multi-Hop Reasoning'

    ai-for-edu/Evaluating-Large-Language-Models-with-Educational-Knowledge-Graphs-on-Prerequisite-Relationships’s past year of commit activity
    Jupyter Notebook 7 CC-BY-4.0 2 0 0 Updated Jun 13, 2024

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