Scholar
Ali Emami
Google Scholar ID: Pjdq8cUAAAAJ
Assistant Professor, Emory University
Citations & Impact
Citations
535
H-index
14
i10-index
14
Publications
20
Co-authors
11
list available
Publications
Resume (English only)
Academic Achievements
- - 2025:
- - Our paper, “We Politely Insist: Your LLM Must Learn the Persian Art of Taarof,” has been featured in IBM Think, Ars Technica, and PC Gamer.
- - All 3 of our submissions have been accepted at EMNLP 2025: 2 Main Conference papers and 1 Findings paper!
- - Our paper, “The World According to LLMs: How Geographic Origin Influences LLMs’ Entity Deduction Capabilities,” has been accepted at COLM 2025.
- - Honoured to have received the COLING 2025 Best Dataset Paper Award, for our paper, NYT-Connections: A Deceptively Simple Text Classification Task that Stumps System-1 Thinkers.
- - Our NAACL 2025 paper, Fine-Tuned LLMs are “Time Capsules” for Tracking Societal Bias Through Books, has been featured in NewScientist.
- - 2024:
- - Our 2 papers have been accepted for publication at the main conference at The 31st International Conference on Computational Linguistics (COLING 2025, January 19th to 24th), both nominated as Oral Presentations (<7% submitted papers).
- - Honoured to have received the EMNLP 2024 Social Impact Paper Award.
- - Our paper, STOP! Benchmarking Large Language Models with Sensitivity Testing on Offensive Progressions, has been selected for Oral Presentation at EMNLP 2024.
Research Experience
- Recruiting fully funded PhD students for the Fall 2026 cohort; Published papers at multiple international conferences such as EMNLP, COLING, etc.; Involved in various research projects exploring the behavior and societal impact of large language models.
Education
- - PhD in Computer Science, 2021, McGill University/Mila, Canada
- - MSc in Computer Science, 2016, McGill University, Canada
- - BSc in Joint Physics & Computer Science, 2014, McGill University, Canada
Background
- I am an Assistant Professor in the Department of Computer Science at Emory University. My research focuses on natural language processing and machine learning, with an interest in evaluating and interpreting large language models. I investigate how these models reason, generalize, and reflect patterns in language and society, across both predictable and surprising behaviors.
Miscellany
- Invited to give the convocation address to the Brock University Graduating Class of 2024; Invited to give a talk at the FirstOntario Performing Arts Centre, titled In Search of Digital Truth: How Large Language Models are Shaping Our Reality (And How We are Shaping Theirs!), Friday, November 1, at 7 PM.
