Papers by Sankalan Chowdhury
MathDial: A Dialogue Tutoring Dataset with Rich Pedagogical Properties Grounded in Math Reasoning Problems (2023.findings-emnlp)
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Jakub Macina, Nico Daheim, Sankalan Chowdhury, Tanmay Sinha, Manu Kapur, Iryna Gurevych, Mrinmaya Sachan
| Challenge: | Existing models for automatic dialogue tutoring fail to provide accurate feedback or reveal solutions to students too early. |
| Approach: | They propose a framework to generate one-to-one teacher-student tutoring dialogues by pairing human teachers with a Large Language Model (LLM) they use scaffolding questions and annotations to fine-tune models to be more effective tutors . |
| Outcome: | The proposed framework can generate 3k one-to-one teacher-student tutoring dialogues grounded in multi-step math reasoning problems. |