Mir Tafseer Nayeem

I study how human context shapes language models, their applications, and their evaluation.

People produce the language data that models learn from. Tokenization turns that data into units models use to predict what comes next. My user-centric research follows this path from who creates information to whom AI systems serve, and asks how we can evaluate the outcomes.

I am a final-year PhD Candidate in Computing Science at the University of Alberta, advised by Prof. Davood Rafiei.

Applications

How can language systems serve people?

I study how systems understand reviews, research papers, and film subtitles across languages and cultures, and produce useful, faithful outputs for different audiences.

Announcements

  1. Papers at EMNLP, AACL, and NeurIPS (Workshop).

  2. One paper accepted at ACL 2026.

  3. One paper accepted at EACL 2026.

  4. ChartDeception received the Best Short Paper Award at IEEE VIS 2025.

  5. Three papers accepted at EMNLP 2025.

  6. One paper accepted at COLM 2025.

  7. One paper accepted at IEEE VIS 2025.

  8. KidLM received the Best Resource Paper Award at EMNLP 2024.