Rose Wang

Malik , R. ., Abdi, D., Wang, R. ., & Demszky, D. (2025). Scaffolding Middle-School Mathematics Curricula With Large Language Models. British Journal of Education Technology. https://doi.org/10.1111/bjet.13571

Wang, R., & Demszky, D. (2024). An Open-Source Library for Education Conversation Data. NAACL System Demonstrations. https://arxiv.org/pdf/2402.05111

Wang, R., & Demszky , D. (2024). An Open-Source Library for Education Conversation Data. NAACL System Demonstrations. https://arxiv.org/pdf/2402.05111

Wang, R., Zhang, Q., Robinson, C., Loeb, S., & Demszky, D. (2024). Bridging the Novice-Expert Gap via Models of Decision-Making: A Case Study on Remediating Math Mistakes. Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL). https://arxiv.org/pdf/2310.10648

Demszky, D., Wang, R., Geraghty, S., & Yu, C. (2024). Does Feedback on Talk Time Increase Student Engagement? Evidence from a Randomized Controlled Trial on a Math Tutoring Platform. The 14th Learning Analytics and Knowledge Conference (LAK). https://spaces-cdn.owlstown.com/blobs/ttf4t8cpptbt692mxzao4p3d50af

Wang, R., Wirawarn, P., Khattab, O. ., Goodman, N., & Demszky, D. (2024). Backtracing: Retrieving the Cause of the Query. Findings of the Association for Computational Linguistics: EACL. https://doi.org/doi.org/10.48550/arXiv.2403.03956

Wang, R., Wirawarn, P., Lam, K., Khattab, O., & Demszky, D. (2024). Problem-Oriented Segmentation and Retrieval: Case Study on Tutoring Conversations. Findings of the Association for Computational Linguistics: EMNLP.

Wang, R., Ribeiro, A., Robinson, C., Loeb, S. ., & Demszky, D. (2024). Tutor CoPilot: A Human-AI Approach for Scaling Real-Time Expertise. arXiv preprint arXiv:2410.03017. https://arxiv.org/abs/2410.03017