--- title: "Who cites Measuring Conversational — 39 citing papers" description: "39 papers of the Elamur Research library cite «Measuring Conversational Uptake: A Case Study on Student-Teacher Interactions», found in their…" canonical: "https://research.elamur.ai/free/en/papers/demszky-2021-measuring-conversational-uptake-case-study/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/demszky-2021-measuring-conversational-uptake-case-study/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Measuring Conversational Uptake: A Case Study on…](https://md.research.elamur.ai/free/en/papers/demszky-2021-measuring-conversational-uptake-case-study/) / cited by # Who cites «Measuring Conversational Uptake: A Case Study on Student-Teacher Interactions» 39 papers of our library cite it (of the 149,439 whose bibliographies we read) · 13 with a page here, the most cited first · [← back to «Measuring Conversational Uptake: A Case Study on Student-Teacher Interactions»](https://md.research.elamur.ai/free/en/papers/demszky-2021-measuring-conversational-uptake-case-study/) 1. [**On the Opportunities and Risks of Foundation Models arXiv:2108.07258**Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al.*2021 · 3,160 citations*](https://md.research.elamur.ai/free/en/papers/bommasani-2021-opportunities-risks-foundation-models/) 2. **[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* 3. [**The AI teacher test: Measuring the pedagogical ability of Blender and GPT-3 in educational dialogues**Tack*2022 · 88 citations*](https://md.research.elamur.ai/free/en/papers/tack-2022-ai-teacher-test-measuring-pedagogical/) 4. **[The NCTE Transcripts: A Dataset of Elementary Math Classroom Transcripts](https://md.research.elamur.ai/free/en/papers/demszky-2023-ncte-transcripts-dataset-elementary-math/) [Workshop on Innovative Use of NLP for Building Educational Applications (BEA)](https://md.research.elamur.ai/free/en/venues/bea/)**Dorottya Demszky, Heather Hill*2023 · 61 citations* 5. **[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* 6. [**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/) 7. **[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* 8. **[The TalkMoves Dataset: K-12 Mathematics Lesson Transcripts Annotated for Teacher and Student Discursive Moves](https://md.research.elamur.ai/free/en/papers/suresh-2022-talkmoves-dataset-k-12-mathematics/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Abhijit Suresh, Jennifer Jacobs, Charis Harty, et al.*2022 · 43 citations* 9. **[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* 10. **[Socratic Questioning of Novice Debuggers: A Benchmark Dataset and Preliminary Evaluations](https://md.research.elamur.ai/free/en/papers/hossami-2023-socratic-questioning-novice-debuggers-benchmark/) [Workshop on Innovative Use of NLP for Building Educational Applications (BEA)](https://md.research.elamur.ai/free/en/venues/bea/)**Erfan Al-Hossami, Razvan Bunescu, Ryan Teehan, et al.*2023 · 34 citations* 11. **[MathTutorBench: A Benchmark for Measuring Open-ended Pedagogical Capabilities of LLM Tutors](https://md.research.elamur.ai/free/en/papers/macina-2025-mathtutorbench-benchmark-measuring-open-ended/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jakub Macina, Nico Daheim, Ido Hakimi, et al.*2025 · 33 citations* 12. **[A Conversational Intelligent Tutoring System for Improving English Proficiency of Non-Native Speakers via Debriefing of Online Meeting Transcriptions](https://md.research.elamur.ai/free/en/papers/ortiz-2024-conversational-intelligent-tutoring-system-improving/) [Workshop on Natural Language Processing for Computer Assisted Language Learning](https://md.research.elamur.ai/free/en/venues/nlp4call/)**Juan Antonio Pérez-Ortiz, Miquel Esplà-Gomis, Víctor M. Sánchez-Cartagena, et al.*2024 · 7 citations* 13. **[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* 26 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/demszky-2021-measuring-conversational-uptake-case-study/) — Measuring Conversational Uptake: A Case Study on Student-Teacher Interactions