---
title: "Who cites Fine-tuning Transformers with — 16 citing papers"
description: "16 papers of the Elamur Research library cite «Fine-tuning Transformers with Additional Context to Classify Discursive Moves in Mathematics…"
canonical: "https://research.elamur.ai/free/en/papers/suresh-2022-fine-tuning-transformers-additional-context/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Fine-tuning Transformers with Additional Context…](https://md.research.elamur.ai/free/en/papers/suresh-2022-fine-tuning-transformers-additional-context/) / cited by

# Who cites «Fine-tuning Transformers with Additional Context to Classify Discursive Moves in Mathematics Classrooms»

16 papers of our library cite it (of the 149,439 whose bibliographies we read) · 5 with a page here, the most cited first · [← back to «Fine-tuning Transformers with Additional Context to Classify Discursive Moves in Mathematics Classrooms»](https://md.research.elamur.ai/free/en/papers/suresh-2022-fine-tuning-transformers-additional-context/)

1. **[MathDial: A Dialogue Tutoring Dataset with Rich Pedagogical Properties Grounded in Math Reasoning Problems](https://md.research.elamur.ai/free/en/papers/macina-2023-mathdial-dialogue-tutoring-dataset-rich/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jakub Macina, Nico Daheim, Sankalan Chowdhury, et al.*2023 · 131 citations*
2. [**Towards responsible development of generative AI for education: An evaluation-driven approach**Jurenka*2024 · 53 citations*](https://md.research.elamur.ai/free/en/papers/jurenka-2024-responsible-development-generative-ai-education/)
3. **[Opportunities and Challenges in Neural Dialog Tutoring](https://md.research.elamur.ai/free/en/papers/macina-2023-opportunities-challenges-neural-dialog-tutoring/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Jakub Macina, Nico Daheim, Lingzhi Wang, et al.*2023 · 51 citations*
4. **[Improving Classroom Dialogue Act Recognition from Limited Labeled Data with Self-Supervised Contrastive Learning Classifiers](https://md.research.elamur.ai/free/en/papers/kumaran-2023-improving-classroom-dialogue-act-recognition/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Vikram Kumaran, Jonathan Rowe, Bradford Mott, et al.*2023 · 3 citations*
5. **[Cross-Lingual and Cross-Cultural Transfer of Talk Move Classification to German Science Classrooms](https://md.research.elamur.ai/free/en/papers/wartena-2026-cross-lingual-cross-cultural-transfer/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Christian Wartena, Christian Schumburg, Andreas Nehring, et al.*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/suresh-2022-fine-tuning-transformers-additional-context/) — Fine-tuning Transformers with Additional Context to Classify Discursive Moves in Mathematics Classrooms
