Selected publications

Exploiting Domain-Specific Parallel Data on Multilingual Language Models for Low-Resource Language Translation

Surangika Ranathunga, Shravan Nayak, En-Shiun Lee, Xin Peng, Shih-Ting Huang, et al.

ACM Transactions on Asian and Low-Resource Language Information Processing

Exploiting Domain-Specific Parallel Data on Multilingual Language Models for Low-resource Language Translation

Ranathunga, S., Nayak, S., Huang, S.-T.C., Mao, Y., Su, T., et al.

Arxiv

Perfectly to a Tee: Understanding User Perceptions of Personalized LLM-Enhanced Narrative Interventions

Ananya Bhattacharjee, Sarah Yi Xu, Pranav Rao, Yuchen Zeng, Jonah Meyerhoff, et al.

A Multilingual Dataset (MultiMWP) and Benchmark for Math Word Problem Generation

Gamage, O., Ranathunga, S., Lee, A., Sun, X., Singh, A., et al.

IEEE Transactions on Audio Speech and Language Processing

Integrating Digital Calendars with Large Language Models for Stress Management Interventions

Rao, P., Xu, S.Y., Bhattacharjee, A., Zeng, Y., Mariakakis, A., Williams, J.J.

Ceur Workshop Proceedings

Perfectly to a Tee: Understanding User Perceptions of Personalized LLM-Enhanced Narrative Interventions

Bhattacharjee, A., Xu, S.Y., Rao, P., Zeng, Y., Meyerhoff, J., et al.

Arxiv

A Multilingual Dataset (MultiMWP) and Benchmark for Math Word Problem Generation

Gamage, O., Ranathunga, S., Lee, A., Sun, X., Singh, A., et al.

Techrxiv

Understanding the Role of Large Language Models in Personalizing and Scaffolding Strategies to Combat Academic Procrastination

Bhattacharjee, A., Zeng, Y., Xu, S.Y., Kulzhabayeva, D., Ma, M., et al.

Conference on Human Factors in Computing Systems Proceedings

"It Explains What I am Currently Going Through Perfectly to a Tee": Understanding User Perceptions on LLM-Enhanced Narrative Interventions

Bhattacharjee, A., Xu, S., Rao, P., Zeng, Y., et al.

Preprint.

Understanding the Role of Large Language Models in Personalizing and Scaffolding Strategies to Combat Academic Procrastination

Bhattacharjee, A., Zeng, Y., Xu, S.Y., Kulzhabayeva, D., Ma, M., et al.

Arxiv