Efficient Comorbidity Analysis in Brain Disorders Reveals Better Diagnosis. - Menglu Li; Maryam Amirizaniani; Rasha Kashef 001 (HPCC/DSS/SmartCity/DependSys, 2021)

Representing Tasks with a Graph-Based Method for Supporting Users in Complex Search Tasks. - Shawon Sarkar; Maryam Amirizaniani; Chirag Shah 001 (CHIIR, 2023)

Assessing Human Viewpoints in Theory of Mind for Large Language Models in Open-Ended Questioning. - Maryam Amirizaniani (CIKM, 2024)

AuditLLM: A Tool for Auditing Large Language Models Using Multiprobe Approach. - Maryam Amirizaniani; Elias Martin; Tanya Roosta; Aman Chadha; Chirag Shah 001 (CIKM, 2024)

Can LLMs Reason Like Humans? Assessing Theory of Mind Reasoning in LLMs for Open-Ended Questions. - Maryam Amirizaniani; Elias Martin; Maryna Sivachenko; Afra Mashhadi; Chirag Shah 001 (CIKM, 2024)

AuditLLM: A Tool for Auditing Large Language Models Using Multiprobe Approach. - Maryam Amirizaniani; Tanya Roosta; Aman Chadha; Chirag Shah 001 (CoRR, 2024)

Developing a Framework for Auditing Large Language Models Using Human-in-the-Loop. - Maryam Amirizaniani; Jihan Yao; Adrian Lavergne; Elizabeth Snell Okada; Aman Chadha; Tanya Roosta; Chirag Shah 001 (CoRR, 2024)

Do LLMs Exhibit Human-Like Reasoning? Evaluating Theory of Mind in LLMs for Open-Ended Responses. - Maryam Amirizaniani; Elias Martin; Maryna Sivachenko; Afra Mashhadi; Chirag Shah 001 (CoRR, 2024)

Enhancing AI Agents with Human Theory of Mind (ToM) for Context-Aware Actions. - Maryam Amirizaniani (SIGIR, 2025)

Mind Over Machine: Evaluating Theory of Mind Reasoning in LLMs and Humans. - Maryam Amirizaniani (WSDM, 2025)

How Does Memorization Impact LLMs' Social Reasoning? An Assessment using Seen and Unseen Queries. - Maryam Amirizaniani; Maryna Sivachenko; Adrian Lavergne; Chirag Shah 001; Afra Mashhadi (WSDM, 2025)

Towards More Personalized Recommendations by Modeling Users? Temporal Behaviors with Task-Based Graph Neural Network (TGNN). - Maryam Amirizaniani; Shawon Sarkar; Chirag Shah 001 (ACM Trans. Web, 2025)