| 2026 | ICTIR | Plan-and-Refine in RAG: Generating Diverse and Comprehensive Responses through Global Exploration and Local Exploitation. | Alireza Salemi, Chris Samarinas, Hamed Zamani |
| 2026 | WWW | Pathways of Thoughts: Multi-Directional Thinking for Long-form Personalized Question Answering. | Alireza Salemi, Cheng Li, Mingyang Zhang, Qiaozhu Mei, Zhuowan Li, Spurthi Amba Hombaiah, Weize Kong, Tao Chen, Hamed Zamani, Michael Bendersky |
| 2026 | SIGIR | Learning to Reason for Multi-Step Retrieval of Personal Context in Personalized Question Answering. | Maryam Amirizaniani, Alireza Salemi, Hamed Zamani |
| 2026 | SIGIR | Evaluation of Agents under Simulated AI Marketplace Dynamics. | To Eun Kim, Alireza Salemi, Hamed Zamani, Fernando Diaz |
| 2026 | SIGIR | Learning from Natural Language Feedback for Personalized Question Answering. | Alireza Salemi, Hamed Zamani |
| 2025 | ACL | ExPerT: Effective and Explainable Evaluation of Personalized Long-Form Text Generation. | Alireza Salemi, Julian Killingback, Hamed Zamani |
| 2025 | ACL | Beyond Factual Accuracy: Evaluating Coverage of Diverse Factual Information in Long-form Text Generation. | Chris Samarinas, Alexander Krubner, Alireza Salemi, Youngwoo Kim, Hamed Zamani |
| 2025 | ACL | Personalized Generation In Large Model Era: A Survey. | Yiyan Xu, Jinghao Zhang, Alireza Salemi, Xinting Hu, Wenjie Wang, Fuli Feng, Hamed Zamani, Xiangnan He, Tat-Seng Chua |
| 2025 | ASPLOS | Accelerating Retrieval-Augmented Generation. | Derrick Quinn, Mohammad Nouri, Neel Patel, John Salihu, Alireza Salemi, Sukhan Lee, Hamed Zamani, Mohammad Alian |
| 2025 | EMNLP | LaMP-QA: A Benchmark for Personalized Long-form Question Answering. | Alireza Salemi, Hamed Zamani |
| 2025 | ICTIR | Learning to Rank for Multiple Retrieval-Augmented Models through Iterative Utility Maximization. | Alireza Salemi, Hamed Zamani |
| 2025 | ICTIR | Comparing Retrieval-Augmentation and Parameter-Efficient Fine-Tuning for Privacy-Preserving Personalization of Large Language Models. | Alireza Salemi, Hamed Zamani |
| 2025 | SIGIR | The Second Tutorial on Retrieval-Enhanced Machine Learning: Synthesis and Opportunities. | Fernando Diaz, Andrew Drozdov, To Eun Kim, Alireza Salemi, Hamed Zamani |
| 2024 | ACL | LaMP: When Large Language Models Meet Personalization. | Alireza Salemi, Sheshera Mysore, Michael Bendersky, Hamed Zamani |
| 2024 | SIGIR | Optimization Methods for Personalizing Large Language Models through Retrieval Augmentation. | Alireza Salemi, Surya Kallumadi, Hamed Zamani |
| 2024 | SIGIR | Towards a Search Engine for Machines: Unified Ranking for Multiple Retrieval-Augmented Large Language Models. | Alireza Salemi, Hamed Zamani |
| 2024 | SIGIR | Evaluating Retrieval Quality in Retrieval-Augmented Generation. | Alireza Salemi, Hamed Zamani |
| 2023 | ICTIR | Pre-Training Multi-Modal Dense Retrievers for Outside-Knowledge Visual Question Answering. | Alireza Salemi, Mahta Rafiee, Hamed Zamani |
| 2023 | SIGIR | A Symmetric Dual Encoding Dense Retrieval Framework for Knowledge-Intensive Visual Question Answering. | Alireza Salemi, Juan Altmayer Pizzorno, Hamed Zamani |
| 2021 | EMNLP | ARMAN: Pre-training with Semantically Selecting and Reordering of Sentences for Persian Abstractive Summarization. | Alireza Salemi, Emad Kebriaei, Ghazal Neisi Minaei, Azadeh Shakery |