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.).

• AIED 2026 Workshop on Designing and Evaluating Next-Generation Learning Interfaces: Linking AI, HCI, and the Learning Sciences
• KDD 2026 AI for Education Day [Link]
• 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]

• Can MLLMs Read Students' Minds? Unpacking Multimodal Error Analysis in Handwritten Math, AIED 2026.
• From Memorization to Creation: Evaluating the Cognitive Depth of LLM‑Generated Educational Questions, KDD 2026.
• MathAgent: Leveraging a Mixture-of-Math-Agent Framework for Real-World Multimodal Mathematical Error Detection, ACL 2025. (ACL Industry Oral)
• Ask-Before-Detection: Identifying and Mitigating Conformity Bias in LLM-Powered Error Detector for Math Word Problem Solutions, ACL 2025.
• UniEDU: A Unified Language and Vision Assistant for Education Applications, EMNLP 2025.
• 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]

• Large Language Models for Education: A Survey and Outlook, IEEE Signal Processing Magazine, 2025. [arXiv]
• LLM Agents for Education: Advances and Applications, EMNLP 2025. [arXiv]
• Position: LLMs Can be Good Tutors in Foreign Language Education, EMNLP 2025. [arXiv]
• Foundation Models for Education: Promises and Prospects, IEEE Intelligent Systems, 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]

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.