I am a third-year Ph.D. student at the Information School, University of Washington, where I am fortunate to be advised by Prof. Chirag Shah. Previously, I completed my Master’s degree at Toronto Metropolitan University under the supervision of Prof. Farid Shirazi.
My research interests primarily focus on Large Foundation Models:
How Does Memorization Impact LLMs' Social Reasoning? An Assessment using Seen and Unseen Queries
M Amirizaniani, M Sivachenko, A Lavergne, C Shah, A Mashhadi
Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining. (acceptance rate 16.9%)
PaperMind Over Machine: Evaluating Theory of Mind Reasoning in LLMs and Humans
M Amirizaniani
Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining.
PaperAssessing Human Viewpoints in Theory of Mind for Large Language Models in Open-Ended Questioning
M Amirizaniani
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management.
PaperCan LLMs Reason Like Humans? Assessing Theory of Mind Reasoning in LLMs for Open-Ended Questions
M Amirizaniani, E Martin, M Sivachenko, A Mashhadi, C Shah
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management. (acceptance rate 21%)
PaperAuditLLM: A Tool for Auditing Large Language Models Using Multiprobe Approach
M Amirizaniani, E Martin, T Roosta, A Chadha, C Shah
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management.
PaperDeveloping a Framework for Auditing Large Language Models Using Human-in-the-Loop
M Amirizaniani, A Lavergne, ES Okada, A Chadha, T Roosta, C Shah
arXiv.
PaperRepresenting Tasks with a Graph-Based Method for Supporting Users in Complex Search Tasks
S Sarkar, M Amirizaniani, C Shah
Proceedings of the 2023 Conference on Human Information Interaction and Retrieval.
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