---
title: "Who cites Findings of the BEA 2025 Shared — 33 citing papers"
description: "33 papers of the Elamur Research library cite «Findings of the BEA 2025 Shared Task on Pedagogical Ability Assessment of AI-powered…"
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---
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# 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»](https://md.research.elamur.ai/free/en/papers/kochmar-2025-findings-bea-2025-shared-task/)

1. **[AITutor-EvalKit: Exploring the Capabilities of AI Tutors](https://md.research.elamur.ai/free/en/papers/naeem-2026-aitutor-evalkit-exploring-capabilities-ai/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Numaan Naeem, Kaushal Kumar Maurya, Kseniia Petukhova, et al.*2026 · 2 citations*
2. **[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*
3. **[From Metrics to Meaning: Rule-Grounded LLM Explanations for Data Literacy in the Case of Youth Football](https://md.research.elamur.ai/free/en/papers/pilka-2026-metrics-meaning-rule-grounded-llm/) [Workshop on Innovative Use of NLP for Building Educational Applications (BEA)](https://md.research.elamur.ai/free/en/venues/bea/)**Tomasz Piłka, Tomasz Kuczyński, Mateusz Czajka*2026*
4. **[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*
5. **[The Aftermath of DrawEduMath: Vision Language Models Underperform with Struggling Students and Misdiagnose Errors](https://md.research.elamur.ai/free/en/papers/lucy-2026-aftermath-drawedumath-vision-language-models/) [Workshop on Innovative Use of NLP for Building Educational Applications (BEA)](https://md.research.elamur.ai/free/en/venues/bea/)**Li Lucy, Albert Zhang, Nathan Anderson, et al.*2026*
6. **[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*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/kochmar-2025-findings-bea-2025-shared-task/) — Findings of the BEA 2025 Shared Task on Pedagogical Ability Assessment of AI-powered Tutors
