Mir Tafseer Nayeem

Mir Tafseer Nayeem

PhD Candidate in Computing Science at the University of Alberta. Huawei PhD Fellow.

Mir Tafseer Nayeem

PhD Candidate in Computing Science, University of Alberta

I am a PhD Candidate in Computing Science at the University of Alberta, advised by Prof. Davood Rafiei. My research focuses on user-centric language technologies, including age-appropriate language modeling, opinion synthesis, and reliable adaptation of language models.

My research is supported by the Huawei PhD Fellowship, and my work has received awards at EMNLP, COLING, and IEEE VIS.

Huawei PhD Fellow EMNLP 2024 Best Resource Paper COLING 2018 Area Chair Favorite IEEE VIS 2025 Best Short Paper

Research Themes

KidLM

Age-appropriate language modeling

Building and evaluating language models for children and young readers, including KidLM, winner of the EMNLP 2024 Best Resource Paper Award.

User-centric NLP

Personalized language technologies

Modeling how user attributes, preferences, and context affect generation, summarization, and language technology design.

Opinion synthesis

Opinion-rich text understanding

Generating faithful and useful highlights from large-scale reviews and opinion collections, including OpinioRAG.

LLM evaluation

Adaptation and reliability

Designing resources and evaluations for inclusivity, controllability, robustness, and user-aware model behavior.

Announcements

  1. One paper accepted at ACL 2026.

  2. One paper accepted at EACL 2026.

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

  4. Three papers accepted at EMNLP 2025.

  5. One paper accepted at COLM 2025.

  6. One paper accepted at IEEE VIS 2025.

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