Who cites «Automatic Generation of Socratic Subquestions for Teaching Math Word Problems»
- Challenges and Applications of Large Language ModelsarXiv:2307.10169Jean Kaddour, Joshua Harris, Maximilian Mozes, et al.2023 · 301 citations
- Distilling Reasoning Capabilities into Smaller Language ModelsFindings of the Association for Computational LinguisticsKumar Shridhar, Alessandro Stolfo, Mrinmaya Sachan2023 · 219 citations
- MathDial: A Dialogue Tutoring Dataset with Rich Pedagogical Properties Grounded in Math Reasoning ProblemsFindings of the Association for Computational LinguisticsJakub Macina, Nico Daheim, Sankalan Chowdhury, et al.2023 · 131 citations
- Can Language Models Employ the Socratic Method? Experiments with Code DebuggingACM Technical Symposium on Computer Science Education (SIGCSE)Erfan Al-Hossami, Razvan Bunescu, Justin Smith, et al.2023 · 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
- Socratic Questioning of Novice Debuggers: A Benchmark Dataset and Preliminary EvaluationsWorkshop on Innovative Use of NLP for Building Educational Applications (BEA)Erfan Al-Hossami, Razvan Bunescu, Ryan Teehan, et al.2023 · 34 citations
- MathTutorBench: A Benchmark for Measuring Open-ended Pedagogical Capabilities of LLM TutorsConference on Empirical Methods in Natural Language Processing (EMNLP)Jakub Macina, Nico Daheim, Ido Hakimi, et al.2025 · 33 citations
- From Problem-Solving to Teaching Problem-Solving: Aligning LLMs with Pedagogy using Reinforcement LearningConference on Empirical Methods in Natural Language Processing (EMNLP)David Dinucu-Jianu, Jakub Macina, Nico Daheim, et al.2025 · 19 citations
- Improving Socratic Question Generation using Data Augmentation and Preference OptimizationWorkshop on Innovative Use of NLP for Building Educational Applications (BEA)Nischal Ashok Kumar, Andrew Lan2024 · 16 citations
- EducationQ: Evaluating LLMs' Teaching Capabilities Through Multi-Agent Dialogue FrameworkAnnual Meeting of the Association for Computational Linguistics (ACL)Yao Shi, Rongkeng Liang, Yong Xu2025 · 14 citations
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