Scholar
Yadollah Yaghoobzadeh
Google Scholar ID: TvGqaqAAAAAJ
University of Tehran / TeIAS
Citations & Impact
Citations
2,751
H-index
17
i10-index
24
Publications
20
Co-authors
16
list available
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- Co-organized two workshops on Subword and Character level models in NLP (SCLeM) at EMNLP 2017 and NAACL 2018. Area Chair at ACL 2021 and Remote Presentation Co-chair at the same venue. Served as a program committee member at various NLP and AI conferences: ACL, EMNLP, NAACL, AAAI, CIKM, COLING, EACL, CoNLL, LREC. Recent academic achievements include: two papers accepted to EMNLP 2025 (Findings), one paper accepted to ACL 2025 (main), two papers accepted to NAACL 2025 (main), two papers accepted to COLING 2025.
Research Experience
- Worked on NLP and deep learning at Microsoft Montreal. Currently, my research is focused on building, improving, using, and analyzing large language models (LLMs). Topics include studying the multilinguality of LLMs, especially how figurative and factual knowledge are represented, learning modular and efficient models, and interpretation and explanation methods.
Education
- PhD in Computer Science from CIS, University of Munich (LMU); MSc from Sharif University of Technology; BSc from University of Tehran.
Background
- Currently an assistant professor at ECE, University of Tehran. Before, I was a senior researcher at Microsoft Montreal, where I worked on natural language processing (NLP) and deep learning.
Miscellany
- Teaching courses include Foundation Models in Natural Language Processing (Graduate), Natural Language Processing (Graduate), Introduction to Data Science (Undergrad), and Artificial Intelligence (Undergrad).
