Who cites «AutoTutor meets Large Language Models: A Language Model Tutor with Rich Pedagogy and Guardrails»
- Unifying AI Tutor Evaluation: An Evaluation Taxonomy for Pedagogical Ability Assessment of LLM-Powered AI TutorsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Kaushal Kumar Maurya, Kv Aditya Srivatsa, Kseniia Petukhova, et al.2025 · 53 citations
- Training LLM-Based Tutors to Improve Student Learning Outcomes in DialoguesLecture notes in computer scienceAlexander Scarlatos, Naiming Liu, Jaewook Lee, et al.2025 · 38 citations
- Stepwise Verification and Remediation of Student Reasoning Errors with Large Language Model TutorsConference on Empirical Methods in Natural Language Processing (EMNLP)Nico Daheim, Jakub Macina, Manu Kapur, et al.2024 · 35 citations
- Position: LLMs Can be Good Tutors in English EducationConference on Empirical Methods in Natural Language Processing (EMNLP)Jingheng Ye, Shen Wang, Deqing Zou, et al.2025 · 9 citations
- Towards Reward Modeling for AI Tutors in Math Mistake RemediationLanguage Resources and Evaluation Conference (LREC)Kseniia Petukhova, Ekaterina Kochmar2026 · 1 citation
- Opportunities and Challenges of LLMs in Education: An NLP PerspectiveWorkshop on Innovative Use of NLP for Building Educational Applications (BEA)Sowmya Vajjala, Bashar Alhafni, Stefano Banno, et al.2026
- Towards Pedagogically Aligned LLM Tutors for Math Mistake RemediationWorkshop on Innovative Use of NLP for Building Educational Applications (BEA)Kseniia Petukhova, Tien Dat Nguyen, Ekaterina Kochmar2026
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