---
title: "Who cites AutoTutor meets Large Language — 22 citing papers"
description: "22 papers of the Elamur Research library cite «AutoTutor meets Large Language Models: A Language Model Tutor with Rich Pedagogy and…"
canonical: "https://research.elamur.ai/free/en/papers/chowdhury-2024-autotutor-meets-large-language-models/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/chowdhury-2024-autotutor-meets-large-language-models/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [AutoTutor meets Large Language Models: A Language…](https://md.research.elamur.ai/free/en/papers/chowdhury-2024-autotutor-meets-large-language-models/) / cited by

# Who cites «AutoTutor meets Large Language Models: A Language Model Tutor with Rich Pedagogy and Guardrails»

22 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 «AutoTutor meets Large Language Models: A Language Model Tutor with Rich Pedagogy and Guardrails»](https://md.research.elamur.ai/free/en/papers/chowdhury-2024-autotutor-meets-large-language-models/)

1. **[Unifying AI Tutor Evaluation: An Evaluation Taxonomy for Pedagogical Ability Assessment of LLM-Powered AI Tutors](https://md.research.elamur.ai/free/en/papers/maurya-2025-unifying-ai-tutor-evaluation-evaluation/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Kaushal Kumar Maurya, Kv Aditya Srivatsa, Kseniia Petukhova, et al.*2025 · 53 citations*
2. **[Training LLM-Based Tutors to Improve Student Learning Outcomes in Dialogues](https://md.research.elamur.ai/free/en/papers/scarlatos-2025-training-llm-based-tutors-improve/) [Lecture notes in computer science](https://md.research.elamur.ai/free/en/venues/lecture-notes-in-computer-science/)**Alexander Scarlatos, Naiming Liu, Jaewook Lee, et al.*2025 · 38 citations*
3. **[Stepwise Verification and Remediation of Student Reasoning Errors with Large Language Model Tutors](https://md.research.elamur.ai/free/en/papers/daheim-2024-stepwise-verification-remediation-student-reasoning/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Nico Daheim, Jakub Macina, Manu Kapur, et al.*2024 · 35 citations*
4. **[Position: LLMs Can be Good Tutors in English Education](https://md.research.elamur.ai/free/en/papers/ye-2025-position-llms-can-be-good/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jingheng Ye, Shen Wang, Deqing Zou, et al.*2025 · 9 citations*
5. **[Towards Reward Modeling for AI Tutors in Math Mistake Remediation](https://md.research.elamur.ai/free/en/papers/petukhova-2026-reward-modeling-ai-tutors-math/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Kseniia Petukhova, Ekaterina Kochmar*2026 · 1 citation*
6. **[Opportunities and Challenges of LLMs in Education: An NLP Perspective](https://md.research.elamur.ai/free/en/papers/vajjala-2026-opportunities-challenges-llms-education-nlp/) [Workshop on Innovative Use of NLP for Building Educational Applications (BEA)](https://md.research.elamur.ai/free/en/venues/bea/)**Sowmya Vajjala, Bashar Alhafni, Stefano Banno, et al.*2026*
7. **[Tackling the Root of Misinformation by Teaching Laypeople about Logical Fallacies via Socratic Questioning and Critical Argumentation](https://md.research.elamur.ai/free/en/papers/shi-2026-tackling-root-misinformation-teaching-laypeople/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Minjing Shi, Junling Wang, Jingwei Ni, et al.*2026*
8. **[Towards Pedagogically Aligned LLM Tutors for Math Mistake Remediation](https://md.research.elamur.ai/free/en/papers/petukhova-2026-pedagogically-aligned-llm-tutors-math/) [Workshop on Innovative Use of NLP for Building Educational Applications (BEA)](https://md.research.elamur.ai/free/en/venues/bea/)**Kseniia Petukhova, Tien Dat Nguyen, Ekaterina Kochmar*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/chowdhury-2024-autotutor-meets-large-language-models/) — AutoTutor meets Large Language Models: A Language Model Tutor with Rich Pedagogy and Guardrails