🔗 Who cites «Learning gain differences between ChatGPT and human tutor generated algebra hints»

14 papers of our library cite it (of the 149,439 whose bibliographies we read) · 8 with a page here, the most cited first · ← back to «Learning gain differences between ChatGPT and human tutor generated algebra hints»

1. Summary of ChatGPT-Related Research and Perspective Towards the Future of Large Language ModelsarXiv:2304.01852 · Meta-Radiology (2023)100,017Yiheng Liu, Tianle Han, Siyuan Ma, et al.2023 · 940 citations
2. Evaluating Large Language Models: A Comprehensive SurveyarXiv:2310.19736Zishan Guo, Renren Jin, Chuang Liu, et al.2023 · 182 citations
3. Large language models for education: A survey and outlookWang2024 · 101 citations
4. Is ChatGPT a Good Teacher Coach? Measuring Zero-Shot Performance For Scoring and Providing Actionable Insights on Classroom InstructionarXiv:2306.03090Rose E. Wang, Dorottya Demszky2023 · 36 citations
5. Should we be going MAD? A Look at Multi-Agent Debate Strategies for LLMsarXiv:2311.17371Andries Smit, Paul Duckworth, Nathan Grinsztajn, et al.2023 · 29 citations
6. Evaluating and Optimizing Educational Content with Large Language Model JudgmentsarXiv:2403.02795Joy He-Yueya, Noah D. Goodman, Emma Brunskill2024 · 7 citations
7. EduBench: A Comprehensive Benchmarking Dataset for Evaluating Large Language Models in Diverse Educational ScenariosAnnual Meeting of the Association for Computational Linguistics (ACL)Bin Xu, Yu Bai, Huashan Sun, et al.2026 · 5 citations
8. Evaluating Answer Leakage Robustness of LLM Tutors against Adversarial Student AttacksAnnual Meeting of the Association for Computational Linguistics (ACL)Jin Zhao, Marta Knežević, Tanja Käser2026 · 1 citation

6 more papers of our library cite it; they have no page here yet.

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