EduChat: A Large-Scale Language Model-based Chatbot System for Intelligent Education
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Abstract (arXiv)
EduChat (https://www.educhat.top/) is a large-scale language model (LLM)-based chatbot system in the education domain. Its goal is to support personalized, fair, and compassionate intelligent education, serving teachers, students, and parents. Guided by theories from psychology and education, it further strengthens educational functions such as open question answering, essay assessment, Socratic teaching, and emotional support based on the existing basic LLMs. Particularly, we learn domain-specific knowledge by pre-training on the educational corpus and stimulate various skills with tool use by fine-tuning on designed system prompts and instructions. Currently, EduChat is available online as an open-source project, with its code, data, and model parameters available on platforms (e.g., GitHub https://github.com/icalk-nlp/EduChat, Hugging Face https://huggingface.co/ecnu-icalk ). We also prepare a demonstration of its capabilities online (https://vimeo.com/851004454). This initiative aims to promote research and applications of LLMs for intelligent education.
Key facts. Cited by 80 papers in the map (data through 7 Oct 2026). Builds on 16 of its 25 references that are in the map. First posted on arXiv 5 Aug 2023.
Builds on
16 of 25 references.
References · 16
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- 2021Evaluating Large Language Models Trained on Codecited by 8,053
- 2021Finetuned Language Models Are Zero-Shot Learnerscited by 3,747
- 2020Learning to summarize from human feedbackcited by 2,562
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- 2021GLM: General Language Model Pretraining with Autoregressive Blank Infillingcited by 1,026
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- 2021Towards Emotional Support Dialog Systemscited by 294
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- 2023Exploring the Impact of Instruction Data Scaling on Large Language Models: An Empirical Study on Real-World Use Casescited by 85
- 2023Chinese Open Instruction Generalist: A Preliminary Releasecited by 35
- 2023The BEA 2023 Shared Task on Generating AI Teacher Responses in Educational Dialoguescited by 27
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Citing papers per year: 2023: 7; 2024: 41; 2025: 24; 2026: 8.
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- 2025Firm or Fickle? Evaluating Large Language Models Consistency in Sequential Interactions28 Mar 2025
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- 2025One Size doesn't Fit All: A Personalized Conversational Tutoring Agent for Mathematics Instructioncited by 17
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- 2026A Scoping Review of Large Language Model-Based Pedagogical Agents14 Apr 2026
- 2025SlideBot: A Multi-Agent Framework for Generating Informative, Reliable, Multi-Modal Presentations12 Nov 2025
- 2025GuideBench: Benchmarking Domain-Oriented Guideline Following for LLM Agents16 May 2025
- 2025Cochain: Balancing Insufficient and Excessive Collaboration in LLM Agent Workflows16 May 2025
- 2025Training Turn-by-Turn Verifiers for Dialogue Tutoring Agents: The Curious Case of LLMs as Your Coding Tutors18 Feb 2025
- 2025One Size doesn't Fit All: A Personalized Conversational Tutoring Agent for Mathematics Instruction18 Feb 2025
- 2025Agent4Edu: Generating Learner Response Data by Generative Agents for Intelligent Education Systems17 Jan 2025
- 2024AI Agent for Education: von Neumann Multi-Agent System Framework30 Dec 2024
- 2024Molly: Making Large Language Model Agents Solve Python Problem More Logically24 Dec 2024
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- 2025Cultivating Helpful, Personalized, and Creative AI Tutors: A Framework for Pedagogical Alignment using Reinforcement Learning27 Jul 2025
- 2024Improving Socratic Question Generation using Data Augmentation and Preference Optimization1 Mar 2024
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- 2024Transforming Wearable Data into Personal Health Insights using Large Language Model Agents10 Jun 2024
- 2023Igniting Language Intelligence: The Hitchhiker's Guide From Chain-of-Thought Reasoning to Language Agents20 Nov 2023
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- 2025Leveraging Graph Retrieval-Augmented Generation to Support Learners' Understanding of Knowledge Concepts in MOOCscited by 2
- 2024RAM2C: A Liberal Arts Educational Chatbot based on Retrieval-augmented Multi-role Multi-expert Collaborationcited by 1
- 2025Leveraging Graph Retrieval-Augmented Generation to Support Learners' Understanding of Knowledge Concepts in MOOCs15 May 2025
- 2024RAM2C: A Liberal Arts Educational Chatbot based on Retrieval-augmented Multi-role Multi-expert Collaboration23 Sep 2024
- 2024Battling Botpoop using GenAI for Higher Education: A Study of a Retrieval Augmented Generation Chatbots Impact on Learning12 Jun 2024
- 2024Bringing Generative AI to Adaptive Learning in Educationcited by 24
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- 2024From Matching to Generation: A Survey on Generative Information Retrievalcited by 89
- 2024Developing ChemDFM as a large language foundation model for chemistrycited by 51
- 2024Knowledge Mechanisms in Large Language Models: A Survey and Perspectivecited by 50
- 2025Injecting Domain-Specific Knowledge into Large Language Models: A Comprehensive Surveycited by 47
- 2024CBT-LLM: A Chinese Large Language Model for Cognitive Behavioral Therapy-based Mental Health Question Answeringcited by 45
- 2024Parameter-Efficient Fine-Tuning in Large Models: A Survey of Methodologiescited by 44
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- 2026TAMUSA-Chat: A Domain-Adapted Large Language Model Conversational System for Research and Responsible Deployment14 Feb 2026
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- 2025ClinTutor-R1: Advancing Scalable and Robust One-to-Many Alignment in Clinical Socratic Education5 Dec 2025
- 2025Investigating Student Interaction Patterns with Large Language Model-Powered Course Assistants in Computer Science Courses10 Sep 2025
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- 2025PAPPL: Personalized AI-Powered Progressive Learning Platform18 Aug 2025
- 2025Benchmarking for Domain-Specific LLMs: A Case Study on Academia and Beyond10 Aug 2025
- 2025Discerning minds or generic tutors? Evaluating instructional guidance capabilities in Socratic LLMs8 Aug 2025
- 2025SID: Benchmarking Guided Instruction Capabilities in STEM Education with a Socratic Interdisciplinary Dialogues Dataset6 Aug 2025
- 2025InqEduAgent: Adaptive AI Learning Partners with Gaussian Process Augmentation5 Aug 2025
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