---
title: "Who cites Learning gain differences — 14 citing papers"
description: "14 papers of the Elamur Research library cite «Learning gain differences between ChatGPT and human tutor generated algebra hints», found…"
canonical: "https://research.elamur.ai/free/en/papers/pardos-2023-learning-gain-differences-between-chatgpt/cited-by/"
---
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# 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»](https://md.research.elamur.ai/free/en/papers/pardos-2023-learning-gain-differences-between-chatgpt/)

1. [**Summary of ChatGPT-Related Research and Perspective Towards the Future of Large Language Models arXiv:2304.01852 · Meta-Radiology (2023)100,017**Yiheng Liu, Tianle Han, Siyuan Ma, et al.*2023 · 940 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-summary-chatgpt-related-research-perspective/)
2. [**Evaluating Large Language Models: A Comprehensive Survey arXiv:2310.19736**Zishan Guo, Renren Jin, Chuang Liu, et al.*2023 · 182 citations*](https://md.research.elamur.ai/free/en/papers/guo-2023-evaluating-large-language-models-comprehensive/)
3. [**Large language models for education: A survey and outlook**Wang*2024 · 101 citations*](https://md.research.elamur.ai/free/en/papers/wang-2024-large-language-models-education-survey/)
4. [**Is ChatGPT a Good Teacher Coach? Measuring Zero-Shot Performance For Scoring and Providing Actionable Insights on Classroom Instruction arXiv:2306.03090**Rose E. Wang, Dorottya Demszky*2023 · 36 citations*](https://md.research.elamur.ai/free/en/papers/wang-2023-chatgpt-good-teacher-coach-measuring/)
5. [**Should we be going MAD? A Look at Multi-Agent Debate Strategies for LLMs arXiv:2311.17371**Andries Smit, Paul Duckworth, Nathan Grinsztajn, et al.*2023 · 29 citations*](https://md.research.elamur.ai/free/en/papers/smit-2023-should-going-mad-look/)
6. [**Evaluating and Optimizing Educational Content with Large Language Model Judgments arXiv:2403.02795**Joy He-Yueya, Noah D. Goodman, Emma Brunskill*2024 · 7 citations*](https://md.research.elamur.ai/free/en/papers/he-yueya-2024-evaluating-optimizing-educational-content-large/)
7. **[EduBench: A Comprehensive Benchmarking Dataset for Evaluating Large Language Models in Diverse Educational Scenarios](https://md.research.elamur.ai/free/en/papers/xu-2026-edubench-comprehensive-benchmarking-dataset-evaluating/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Bin Xu, Yu Bai, Huashan Sun, et al.*2026 · 5 citations*
8. **[Evaluating Answer Leakage Robustness of LLM Tutors against Adversarial Student Attacks](https://md.research.elamur.ai/free/en/papers/zhao-2026-evaluating-answer-leakage-robustness-llm/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jin Zhao, Marta Knežević, Tanja Käser*2026 · 1 citation*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/pardos-2023-learning-gain-differences-between-chatgpt/) — Learning gain differences between ChatGPT and human tutor generated algebra hints