| 2026 | ICTIR | TopicTune: A Topic Alignment Approach to Improve LLMs Reasoning on Social Questions. | Maryam Amirizaniani, Baktash Ansari, Chirag Shah, Afra Mashhadi |
| 2026 | SIGIR | Learning to Reason for Multi-Step Retrieval of Personal Context in Personalized Question Answering. | Maryam Amirizaniani, Alireza Salemi, Hamed Zamani |
| 2026 | SIGIR | IPQA: A Benchmark for Core Intent Identification in Personalized Question Answering. | Jieyong Kim, Maryam Amirizaniani, Soojin Yoon, Dongha Lee |
| 2025 | ICTIR | Response Generation through Social Reasoning in Large Language Models with Direct Diverse Preferences Optimization. | Maryam Amirizaniani, Elias Martin, Afra Mashhadi, Chirag Shah |
| 2025 | SIGIR | Enhancing AI Agents with Human Theory of Mind (ToM) for Context-Aware Actions. | Maryam Amirizaniani |
| 2025 | WSDM | Mind Over Machine: Evaluating Theory of Mind Reasoning in LLMs and Humans. | Maryam Amirizaniani |
| 2025 | WSDM | How Does Memorization Impact LLMs' Social Reasoning? An Assessment using Seen and Unseen Queries. | Maryam Amirizaniani, Maryna Sivachenko, Adrian Lavergne, Chirag Shah, Afra Mashhadi |
| 2024 | CIKM | Assessing Human Viewpoints in Theory of Mind for Large Language Models in Open-Ended Questioning. | Maryam Amirizaniani |
| 2024 | CIKM | AuditLLM: A Tool for Auditing Large Language Models Using Multiprobe Approach. | Maryam Amirizaniani, Elias Martin, Tanya G. Roosta, Aman Chadha, Chirag Shah |
| 2024 | CIKM | 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 |
| 2023 | CHIIR | Representing Tasks with a Graph-Based Method for Supporting Users in Complex Search Tasks. | Shawon Sarkar, Maryam Amirizaniani, Chirag Shah |
| 2021 | HPCC | Efficient Comorbidity Analysis in Brain Disorders Reveals Better Diagnosis. | Menglu Li, Maryam Amirizaniani, Rasha Kashef |