🔗 Who cites «Findings of the BEA 2025 Shared Task on Pedagogical Ability Assessment of AI-powered Tutors»

33 papers of our library cite it (of the 149,439 whose bibliographies we read) · 6 with a page here, the most cited first · ← back to «Findings of the BEA 2025 Shared Task on Pedagogical Ability Assessment of AI-powered Tutors»

1. AITutor-EvalKit: Exploring the Capabilities of AI TutorsConference of the European Chapter of the Association for Computational Linguistics (EACL)Numaan Naeem, Kaushal Kumar Maurya, Kseniia Petukhova, et al.2026 · 2 citations
2. Towards Reward Modeling for AI Tutors in Math Mistake RemediationLanguage Resources and Evaluation Conference (LREC)Kseniia Petukhova, Ekaterina Kochmar2026 · 1 citation
3. From Metrics to Meaning: Rule-Grounded LLM Explanations for Data Literacy in the Case of Youth FootballWorkshop on Innovative Use of NLP for Building Educational Applications (BEA)Tomasz Piłka, Tomasz Kuczyński, Mateusz Czajka2026
4. 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
5. The Aftermath of DrawEduMath: Vision Language Models Underperform with Struggling Students and Misdiagnose ErrorsWorkshop on Innovative Use of NLP for Building Educational Applications (BEA)Li Lucy, Albert Zhang, Nathan Anderson, et al.2026
6. 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

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

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