Publications

Publications

• Plan-and-Refine: Diverse and Comprehensive Retrieval-Augmented Generation
  Alireza Salemi, Chris Samarinas and Hamed Zamani
  arXiv 2025.
  [Code] / [Paper]

• Personalized Generation In Large Model Era: A Survey
  Yiyan Xu, Jinghao Zhang,Alireza Salemi, Xinting Hu, Wenjie Wang, Fuli Feng, Hamed Zamani, Xiangnan He and Tat-Seng Chua
  arXiv 2025.
  [Paper]

• ExPerT: Effective and Explainable Evaluation of Personalized Long-Form Text Generation
  Alireza Salemi, Julian Killingback and Hamed Zamani
  arXiv 2025.
  [Code] / [Paper]

• Reasoning-Enhanced Self-Training for Long-Form Personalized Text Generation
  Alireza Salemi, Cheng Li, Mingyang Zhang, Qiaozhu Mei, Weize Kong, Tao Chen, Zhuowan Li, Michael Bendersky and Hamed Zamani
  arXiv 2025.
  [Paper]

• Beyond Factual Accuracy: Evaluating Coverage of Diverse Factual Information in Long-form Text Generation
  Chris Samarinas, Alexander Krubner, Alireza Salemi, Youngwoo Kim and Hamed Zamani
  arXiv 2025.
  [Code] / [Paper]

• Accelerating Retrieval-Augmented Generation
  Derrick Quinn, Mohammad Nouri, Neel Patel, John Salihu, Alireza Salemi, Sukhan Lee, Hamed Zamani, Mohammad Alian
  Proceedings of ASPLOS 2025.
  [Paper]

• Tutorial on Retrieval-Enhanced Machine Learning: Synthesis and Opportunities
  Fernando Diaz, Andrew Drozdov, To Eun Kim, Alireza Salemi , Hamed Zamani
  Proceedings of SIGIR-AP 2024.
  [Paper]

• Learning to Rank for Multiple Retrieval-Augmented Models through Iterative Utility Maximization
  Alireza Salemi and Hamed Zamani
  arXiv 2024.
  [Code] / [Paper]

• Comparing Retrieval-Augmentation and Parameter-Efficient Fine-Tuning for Privacy-Preserving Personalization of Large Language Models
  Alireza Salemi and Hamed Zamani
  arXiv 2024.
  [Code] / [Paper]

• Retrieval-Enhanced Machine Learning: Synthesis and Opportunities
  To Eun Kim, Alireza Salemi, Andrew Drozdov, Fernando Diaz, Hamed Zamani
  arXiv 2024.
  [Paper]

• LongLaMP: A Benchmark for Personalized Long-form Text Generation
  Ishita Kumar, Snigdha Viswanathan, Sushrita Yerra, Alireza Salemi, Ryan Rossi, Franck Dernoncourt, Hanieh Deilamsalehy, Xiang Chen, Ruiyi Zhang, Shubham Agarwal, Nedim Lipka, Hamed Zamani
  arXiv 2024.
  [Paper]

• LaMP: When Large Language Models Meet Personalization
  Alireza Salemi, Sheshera Mysore, Michael Bendersky and Hamed Zamani
  Proceedings of ACL 2024.
  [Code] / [Paper] / [Benchmark Website]

• Towards a Search Engine for Machines: Unified Ranking for Multiple Retrieval-Augmented Large Language Models
  Alireza Salemi and Hamed Zamani
  Proceedings of SIGIR 2024.
  [Code] / [Paper]

• Evaluating Retrieval Quality in Retrieval-Augmented Generation
  Alireza Salemi and Hamed Zamani
  Proceedings of SIGIR 2024. | 🏆 Best Short Paper Award
  [Code] / [Paper]

• Optimization Methods for Personalizing Large Language Models through Retrieval Augmentation
  Alireza Salemi, Surya Kallumadi and Hamed Zamani
  Proceedings of SIGIR 2024.
  [Code] / [Paper]

• Pre-Training Multi-Modal Dense Retrievers for Outside-Knowledge Visual Question Answering
  Alireza Salemi, Mahta Rafiee and Hamed Zamani
  Proceedings of ICTIR 2023.
  [Code] / [Paper]

• A Symmetric Dual Encoding Dense Retrieval Framework for Knowledge-Intensive Visual Question Answering
  Alireza Salemi, Juan Altmayer Pizzorno and Hamed Zamani
  Proceedings of SIGIR 2023. | 🏆 Best Student Paper Award
  [Code] / [Paper]

• PEACH: Pre-Training Sequence-to-Sequence Multilingual Models for Translation with Semi-Supervised Pseudo-Parallel Document Generation
  Alireza Salemi, Amirhossein Abaskohi, Sara Tavakoli, Yadollah Yaghoobzadeh and Azadeh Shakery
  Proceedings of LoResMT 2023.
  [Code] / [Paper]

• ARMAN: Pre-training with Semantically Selecting and Reordering of Sentences for Persian Abstractive Summarization
  Alireza Salemi, Emad Kebriaei, Ghazal Neisi Minaei and Azadeh Shakery
  Proceedings of EMNLP 2021.
  [Code] / [Paper]
• UTNLP at SemEval-2021 Task 5: A Comparative Analysis of Toxic Span Detection using Attention-based, Named Entity Recognition, and Ensemble Models
  Alireza Salemi, Nazanin Sabri, Emad Kebriaei, Behnam Bahrak and Azadeh Shakery
  Proceedings of SemEval 2021.
  [Code] / [Paper]