Hossein A. Rahmani
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
23
Venues
11
Active years
2019–2026
Best venue rank
A*
Where they publish
Papers
23 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | AgentCoMa: A Compositional Benchmark Mixing Commonsense and Mathematical Reasoning in Real-World Scenarios. | Lisa Alazraki, Lihu Chen, Ana Brassard, Joe Stacey, Hossein A. Rahmani, Marek Rei |
| 2026 | ECIR | Interplay: Training Independent Simulators for Reference-Free Conversational Recommendation. | Jerome Ramos, Feng Xia, Xi Wang, Shubham Chatterjee, Xiao Fu, Hossein A. Rahmani, Aldo Lipani |
| 2026 | SIGIR | Auto-Judge: A Cross-Task Benchmark for Comparing LLM Judges for Citation-Grounded RAG Systems. | Naghmeh Farzi, Tim Hagen, Eugene Yang, Maik Frbe, Ronak Pradeep, Hossein A. Rahmani, Xi Wang, Oleg Zendel, Martin Potthast, Laura Dietz |
| 2025 | CIKM | Empirical Analysis on User Profile in Personalized LLMs. | Bin Wu, Zhengyan Shi, Hossein A. Rahmani, Varsha Ramineni, Emine Yilmaz |
| 2025 | CIKM | Towards Understanding Bias in Synthetic Data for Evaluation. | Hossein A. Rahmani, Varsha Ramineni, Emine Yilmaz, Nick Craswell, Bhaskar Mitra |
| 2025 | WWW | SynDL: A Large-Scale Synthetic Test Collection for Passage Retrieval. | Hossein A. Rahmani, Xi Wang, Emine Yilmaz, Nick Craswell, Bhaskar Mitra, Paul Thomas |
| 2025 | WWW | JudgeBlender: Ensembling Automatic Relevance Judgments. | Hossein A. Rahmani, Emine Yilmaz, Nick Craswell, Bhaskar Mitra |
| 2025 | SIGIR | LLM4Eval: Large Language Model for Evaluation in IR. | Clemencia Siro, Hossein A. Rahmani, Mohammad Aliannejadi, Nick Craswell, Charles L. A. Clarke, Guglielmo Faggioli, Bhaskar Mitra, Paul Thomas, Emine Yilmaz |
| 2025 | WSDM | LLM4Eval@WSDM 2025: Large Language Model for Evaluation in Information Retrieval. | Hossein A. Rahmani, Clemencia Siro, Mohammad Aliannejadi, Nick Craswell, Charles L. A. Clarke, Guglielmo Faggioli, Bhaskar Mitra, Paul Thomas, Emine Yilmaz |
| 2024 | ACL | Transparent and Scrutable Recommendations Using Natural Language User Profiles. | Jerome Ramos, Hossein A. Rahmani, Xi Wang, Xiao Fu, Aldo Lipani |
| 2024 | EACL | Clarifying the Path to User Satisfaction: An Investigation into Clarification Usefulness. | Hossein A. Rahmani, Xi Wang, Mohammad Aliannejadi, Mohammadmehdi Naghiaei, Emine Yilmaz |
| 2024 | ICTIR | Personalized Beyond-accuracy Calibration in Recommendation. | Mohammadmehdi Naghiaei, Mahdi Dehghan, Hossein A. Rahmani, Javad Azizi, Mohammad Aliannejadi |
| 2024 | SIGIR | Synthetic Test Collections for Retrieval Evaluation. | Hossein A. Rahmani, Nick Craswell, Emine Yilmaz, Bhaskar Mitra, Daniel Campos |
| 2024 | SIGIR | LLM4Eval: Large Language Model for Evaluation in IR. | Hossein A. Rahmani, Clemencia Siro, Mohammad Aliannejadi, Nick Craswell, Charles L. A. Clarke, Guglielmo Faggioli, Bhaskar Mitra, Paul Thomas, Emine Yilmaz |
| 2023 | ACL | A Survey on Asking Clarification Questions Datasets in Conversational Systems. | Hossein A. Rahmani, Xi Wang, Yue Feng, Qiang Zhang, Emine Yilmaz, Aldo Lipani |
| 2023 | EMNLP | Improving Conversational Recommendation Systems via Bias Analysis and Language-Model-Enhanced Data Augmentation. | Xi Wang, Hossein A. Rahmani, Jiqun Liu, Emine Yilmaz |
| 2023 | PAKDD | Quantifying the Bias of Transformer-Based Language Models for African American English in Masked Language Modeling. | Flavia Salutari, Jerome Ramos, Hossein A. Rahmani, Leonardo Linguaglossa, Aldo Lipani |
| 2022 | CIKM | Towards Confidence-aware Calibrated Recommendation. | Mohammadmehdi Naghiaei, Hossein A. Rahmani, Mohammad Aliannejadi, Nasim Sonboli |
| 2022 | RecSys | Exploring the Impact of Temporal Bias in Point-of-Interest Recommendation. | Hossein A. Rahmani, Mohammadmehdi Naghiaei, Ali Tourani, Yashar Deldjoo |
| 2022 | SIGIR | CPFair: Personalized Consumer and Producer Fairness Re-ranking for Recommender Systems. | Mohammadmehdi Naghiaei, Hossein A. Rahmani, Yashar Deldjoo |
| 2022 | SIGIR | Experiments on Generalizability of User-Oriented Fairness in Recommender Systems. | Hossein A. Rahmani, Mohammadmehdi Naghiaei, Mahdi Dehghan, Mohammad Aliannejadi |
| 2020 | ECIR | Joint Geographical and Temporal Modeling Based on Matrix Factorization for Point-of-Interest Recommendation. | Hossein A. Rahmani, Mohammad Aliannejadi, Mitra Baratchi, Fabio Crestani |
| 2019 | ICTIR | Category-Aware Location Embedding for Point-of-Interest Recommendation. | Hossein A. Rahmani, Mohammad Aliannejadi, Rasoul Mirzaei Zadeh, Mitra Baratchi, Mohsen Afsharchi, Fabio Crestani |