Hossein A. Rahmani

82 papers A* 5A 5Misc 2Journal 52Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Automated Rubrics for Reliable Evaluation of Medical Dialogue Systems. CoRR Yinzhu Chen, Abdine Maiga, Hossein A. Rahmani, Emine Yilmaz
2026	J	`jnl`	Beyond Output Critique: Self-Correction via Task Distillation. CoRR Hossein A. Rahmani, Mengting Wan, Pei Zhou, Longqi Yang, Nick Craswell, Emine Yilmaz, Sujay Kumar Jauhar
2026	J	`jnl`	InnoEval: On Research Idea Evaluation as a Knowledge-Grounded, Multi-Perspective Reasoning Problem. CoRR Shuofei Qiao, Yunxiang Wei, Xuehai Wang, Bin Wu, Boyang Xue, Ningyu Zhang, Hossein A. Rahmani, Yanshan Wang, Qiang Zhang, Keyan Ding, Jeff Z. Pan, Huajun Chen, Emine Yilmaz
2026	—	`conf`	Interplay: Training Independent Simulators for Reference-Free Conversational Recommendation. ECIR (1) Jerome Ramos, Feng Xia, Xi Wang, Shubham Chatterjee, Xiao Fu, Hossein A. Rahmani, Aldo Lipani
2026	J	`jnl`	Interplay: Training Independent Simulators for Reference-Free Conversational Recommendation. CoRR Jerome Ramos, Feng Xia, Xi Wang, Shubham Chatterjee, Xiao Fu, Hossein A. Rahmani, Aldo Lipani
2026	J	`jnl`	When AI Benchmarks Plateau: A Systematic Study of Benchmark Saturation. CoRR Mubashara Akhtar, Anka Reuel, Prajna Soni, Sanchit Ahuja, Pawan Sasanka Ammanamanchi, Ruchit Rawal, Vilém Zouhar, Srishti Yadav, Chenxi Whitehouse, Dayeon Ki, Jennifer Mickel, Leshem Choshen, Marek Suppa, Jan Batzner, Jenny Chim, Jeba Sania, Yanan Long, Hossein A. Rahmani, Christina Knight, Yiyang Nan, Jyoutir Raj, Yu Fan, Shubham Singh, Subramanyam Sahoo, Eliya Habba, Usman Gohar, Siddhesh Pawar, Robert Scholz, Arjun Subramonian, Jingwei Ni, Mykel J. Kochenderfer, Sanmi Koyejo, Mrinmaya Sachan, Stella Biderman, Zeerak Talat, Avijit Ghosh, Irene Solaiman
2025	J	`jnl`	AgentCoMa: A Compositional Benchmark Mixing Commonsense and Mathematical Reasoning in Real-World Scenarios. CoRR Lisa Alazraki, Lihu Chen, Ana Brassard, Joe Stacey, Hossein A. Rahmani, Marek Rei
2025	J	`jnl`	Beyond Internal Data: Bounding and Estimating Fairness from Incomplete Data. CoRR Varsha Ramineni, Hossein A. Rahmani, Emine Yilmaz, David Barber
2025	J	`jnl`	Beyond Internal Data: Constructing Complete Datasets for Fairness Testing. CoRR Varsha Ramineni, Hossein A. Rahmani, Emine Yilmaz, David Barber
2025	A	`conf`	Empirical Analysis on User Profile in Personalized LLMs. CIKM Bin Wu, Zhengyan Shi, Hossein A. Rahmani, Varsha Ramineni, Emine Yilmaz
2025	—	`conf`	JudgeBlender: Ensembling Automatic Relevance Judgments. WWW (Companion Volume) Hossein A. Rahmani, Emine Yilmaz, Nick Craswell, Bhaskar Mitra
2025	J	`jnl`	Judging the Judges: A Collection of LLM-Generated Relevance Judgements. CoRR Hossein A. Rahmani, Clemencia Siro, Mohammad Aliannejadi, Nick Craswell, Charles L. A. Clarke, Guglielmo Faggioli, Bhaskar Mitra, Paul Thomas, Emine Yilmaz
2025	A*	`conf`	LLM4Eval: Large Language Model for Evaluation in IR. SIGIR Clemencia Siro, Hossein A. Rahmani, Mohammad Aliannejadi, Nick Craswell, Charles L. A. Clarke, Guglielmo Faggioli, Bhaskar Mitra, Paul Thomas, Emine Yilmaz
2025	A	`conf`	LLM4Eval@WSDM 2025: Large Language Model for Evaluation in Information Retrieval. WSDM Hossein A. Rahmani, Clemencia Siro, Mohammad Aliannejadi, Nick Craswell, Charles L. A. Clarke, Guglielmo Faggioli, Bhaskar Mitra, Paul Thomas, Emine Yilmaz
2025	J	`jnl`	Overview of the TREC 2023 deep learning track. CoRR Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Hossein A. Rahmani, Daniel Campos, Jimmy Lin, Ellen M. Voorhees, Ian Soboroff
2025	J	`jnl`	PREF: Reference-Free Evaluation of Personalised Text Generation in LLMs. CoRR Xiao Fu, Hossein A. Rahmani, Bin Wu, Jerome Ramos, Emine Yilmaz, Aldo Lipani
2025	J	`jnl`	Self-Correcting Large Language Models: Generation vs. Multiple Choice. CoRR Hossein A. Rahmani, Satyapriya Krishna, Xi Wang, Mohammadmehdi Naghiaei, Emine Yilmaz
2025	—	`conf`	SynDL: A Large-Scale Synthetic Test Collection for Passage Retrieval. WWW (Companion Volume) Hossein A. Rahmani, Xi Wang, Emine Yilmaz, Nick Craswell, Bhaskar Mitra, Paul Thomas
2025	A	`conf`	Towards Understanding Bias in Synthetic Data for Evaluation. CIKM Hossein A. Rahmani, Varsha Ramineni, Emine Yilmaz, Nick Craswell, Bhaskar Mitra
2025	J	`jnl`	Towards Understanding Bias in Synthetic Data for Evaluation. CoRR Hossein A. Rahmani, Varsha Ramineni, Nick Craswell, Bhaskar Mitra, Emine Yilmaz
2025	J	`jnl`	Who Evaluates AI's Social Impacts? Mapping Coverage and Gaps in First and Third Party Evaluations. CoRR Anka Reuel, Avijit Ghosh, Jenny Chim, Andrew Tran, Yanan Long, Jennifer Mickel, Usman Gohar, Srishti Yadav, Pawan Sasanka Ammanamanchi, Mowafak Allaham, Hossein A. Rahmani, Mubashara Akhtar, Felix Friedrich, Robert Scholz, Michael Alexander Riegler, Jan Batzner, Eliya Habba, Arushi Saxena, Anastassia Kornilova, Kevin Wei, Prajna Soni, Yohan Mathew, Kevin Klyman, Jeba Sania, Subramanyam Sahoo, Olivia Beyer Bruvik, Pouya Sadeghi, Sujata S. Goswami, Angelina Wang, Yacine Jernite, Zeerak Talat, Stella Biderman, Mykel J. Kochenderfer, Sanmi Koyejo, Irene Solaiman
2024	J	`jnl`	A Personalized Framework for Consumer and Producer Group Fairness Optimization in Recommender Systems. CoRR Hossein A. Rahmani, Mohammadmehdi Naghiaei, Yashar Deldjoo
2024	J	`jnl`	A Personalized Framework for Consumer and Producer Group Fairness Optimization in Recommender Systems. Trans. Recomm. Syst. Hossein A. Rahmani, Mohammadmehdi Naghiaei, Yashar Deldjoo
2024	J	`jnl`	CAPRI: Context-aware point-of-interest recommendation framework. Softw. Impacts Ali Tourani, Hossein A. Rahmani, Mohammadmehdi Naghiaei, Yashar Deldjoo
2024	—	`conf`	Clarifying the Path to User Satisfaction: An Investigation into Clarification Usefulness. EACL (Findings) Hossein A. Rahmani, Xi Wang, Mohammad Aliannejadi, Mohammadmehdi Naghiaei, Emine Yilmaz
2024	J	`jnl`	Clarifying the Path to User Satisfaction: An Investigation into Clarification Usefulness. CoRR Hossein A. Rahmani, Xi Wang, Mohammad Aliannejadi, Mohammadmehdi Naghiaei, Emine Yilmaz
2024	J	`jnl`	JudgeBlender: Ensembling Judgments for Automatic Relevance Assessment. CoRR Hossein A. Rahmani, Emine Yilmaz, Nick Craswell, Bhaskar Mitra
2024	A*	`conf`	LLM4Eval: Large Language Model for Evaluation in IR. SIGIR Hossein A. Rahmani, Clemencia Siro, Mohammad Aliannejadi, Nick Craswell, Charles L. A. Clarke, Guglielmo Faggioli, Bhaskar Mitra, Paul Thomas, Emine Yilmaz
2024	—	`conf`	LLMJudge: LLMs for Relevance Judgments. LLM4Eval@SIGIR Hossein A. Rahmani, Emine Yilmaz, Nick Craswell, Bhaskar Mitra, Paul Thomas, Charles L. A. Clarke, Mohammad Aliannejadi, Clemencia Siro, Guglielmo Faggioli
2024	J	`jnl`	LLMJudge: LLMs for Relevance Judgments. CoRR Hossein A. Rahmani, Emine Yilmaz, Nick Craswell, Bhaskar Mitra, Paul Thomas, Charles L. A. Clarke, Mohammad Aliannejadi, Clemencia Siro, Guglielmo Faggioli
2024	J	`jnl`	Natural Language User Profiles for Transparent and Scrutable Recommendations. CoRR Jerome Ramos, Hossein A. Rahmani, Xi Wang, Xiao Fu, Aldo Lipani
2024	Misc	`conf`	Personalized Beyond-accuracy Calibration in Recommendation. ICTIR Mohammadmehdi Naghiaei, Mahdi Dehghan, Hossein A. Rahmani, Javad Azizi, Mohammad Aliannejadi
2024	—	`ed.`	Proceedings of The First Workshop on Large Language Models for Evaluation in Information Retrieval (LLM4Eval 2024) co-located with 10th International Conference on Online Publishing (SIGIR 2024), Washington D.C., USA, July 18, 2024. LLM4Eval@SIGIR Clemencia Siro, Mohammad Aliannejadi, Hossein A. Rahmani, Nick Craswell, Charles L. A. Clarke, Guglielmo Faggioli, Bhaskar Mitra, Paul Thomas, Emine Yilmaz
2024	J	`jnl`	Report on the 1st Workshop on Large Language Model for Evaluation in Information Retrieval (LLM4Eval 2024) at SIGIR 2024. CoRR Hossein A. Rahmani, Clemencia Siro, Mohammad Aliannejadi, Nick Craswell, Charles L. A. Clarke, Guglielmo Faggioli, Bhaskar Mitra, Paul Thomas, Emine Yilmaz
2024	J	`jnl`	Report on the 1st Workshop on Large Language Model for Evaluation in Information Retrieval (LLM4Eval 2024) at SIGIR 2024. SIGIR Forum Hossein A. Rahmani, Clemencia Siro, Mohammad Aliannejadi, Nick Craswell, Charles L. A. Clarke, Guglielmo Faggioli, Bhaskar Mitra, Paul Thomas, Emine Yilmaz
2024	J	`jnl`	SynDL: A Large-Scale Synthetic Test Collection for Passage Retrieval. CoRR Hossein A. Rahmani, Xi Wang, Emine Yilmaz, Nick Craswell, Bhaskar Mitra, Paul Thomas
2024	A*	`conf`	Synthetic Test Collections for Retrieval Evaluation. SIGIR Hossein A. Rahmani, Nick Craswell, Emine Yilmaz, Bhaskar Mitra, Daniel Campos
2024	J	`jnl`	Synthetic Test Collections for Retrieval Evaluation. CoRR Hossein A. Rahmani, Nick Craswell, Emine Yilmaz, Bhaskar Mitra, Daniel Campos
2024	—	`conf`	Transparent and Scrutable Recommendations Using Natural Language User Profiles. ACL (1) Jerome Ramos, Hossein A. Rahmani, Xi Wang, Xiao Fu, Aldo Lipani
2024	J	`jnl`	Understanding the Role of User Profile in the Personalization of Large Language Models. CoRR Bin Wu, Zhengyan Shi, Hossein A. Rahmani, Varsha Ramineni, Emine Yilmaz
2023	—	`conf`	A Survey on Asking Clarification Questions Datasets in Conversational Systems. ACL (1) Hossein A. Rahmani, Xi Wang, Yue Feng, Qiang Zhang, Emine Yilmaz, Aldo Lipani
2023	J	`jnl`	A Survey on Asking Clarification Questions Datasets in Conversational Systems. CoRR Hossein A. Rahmani, Xi Wang, Yue Feng, Qiang Zhang, Emine Yilmaz, Aldo Lipani
2023	J	`jnl`	CAPRI: Context-Aware Interpretable Point-of-Interest Recommendation Framework. CoRR Ali Tourani, Hossein A. Rahmani, Mohammadmehdi Naghiaei, Yashar Deldjoo
2023	—	`conf`	Improving Conversational Recommendation Systems via Bias Analysis and Language-Model-Enhanced Data Augmentation. EMNLP (Findings) Xi Wang, Hossein A. Rahmani, Jiqun Liu, Emine Yilmaz
2023	J	`jnl`	Improving Conversational Recommendation Systems via Bias Analysis and Language-Model-Enhanced Data Augmentation. CoRR Xi Wang, Hossein A. Rahmani, Jiqun Liu, Emine Yilmaz
2023	—	`conf`	LLM-based Retrieval and Generation Pipelines for TREC Interactive Knowledge Assistance Track (iKAT) 2023. TREC Zahra Abbasiantaeb, Chuan Meng, David Rau, Antonis Krasakis, Hossein A. Rahmani, Mohammad Aliannejadi
2023	—	`conf`	Overview of the TREC 2023 Deep Learning Track. TREC Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Hossein A. Rahmani, Daniel Campos, Jimmy Lin, Ellen M. Voorhees, Ian Soboroff
2023	J	`jnl`	Provider Fairness and Beyond-Accuracy Trade-offs in Recommender Systems. CoRR Saeedeh Karimi, Hossein A. Rahmani, Mohammadmehdi Naghiaei, Leila Safari
2023	—	`conf`	Quantifying the Bias of Transformer-Based Language Models for African American English in Masked Language Modeling. PAKDD (1) Flavia Salutari, Jerome Ramos, Hossein A. Rahmani, Leonardo Linguaglossa, Aldo Lipani
2023	J	`jnl`	Towards Asking Clarification Questions for Information Seeking on Task-Oriented Dialogues. CoRR Yue Feng, Hossein A. Rahmani, Aldo Lipani, Emine Yilmaz
2023	J	`jnl`	When and What to Ask Through World States and Text Instructions: IGLU NLP Challenge Solution. CoRR Zhengxiang Shi, Jerome Ramos, To Eun Kim, Xi Wang, Hossein A. Rahmani, Aldo Lipani
2022	J	`jnl`	A Systematic Analysis on the Impact of Contextual Information on Point-of-Interest Recommendation. CoRR Hossein A. Rahmani, Mohammad Aliannejadi, Mitra Baratchi, Fabio Crestani
2022	J	`jnl`	A Systematic Analysis on the Impact of Contextual Information on Point-of-Interest Recommendation. ACM Trans. Inf. Syst. Hossein A. Rahmani, Mohammad Aliannejadi, Mitra Baratchi, Fabio Crestani
2022	A*	`conf`	CPFair: Personalized Consumer and Producer Fairness Re-ranking for Recommender Systems. SIGIR Mohammadmehdi Naghiaei, Hossein A. Rahmani, Yashar Deldjoo
2022	J	`jnl`	CPFair: Personalized Consumer and Producer Fairness Re-ranking for Recommender Systems. CoRR Mohammadmehdi Naghiaei, Hossein A. Rahmani, Yashar Deldjoo
2022	A*	`conf`	Experiments on Generalizability of User-Oriented Fairness in Recommender Systems. SIGIR Hossein A. Rahmani, Mohammadmehdi Naghiaei, Mahdi Dehghan, Mohammad Aliannejadi
2022	J	`jnl`	Experiments on Generalizability of User-Oriented Fairness in Recommender Systems. CoRR Hossein A. Rahmani, Mohammadmehdi Naghiaei, Mahdi Dehghan, Mohammad Aliannejadi
2022	A	`conf`	Exploring the Impact of Temporal Bias in Point-of-Interest Recommendation. RecSys Hossein A. Rahmani, Mohammadmehdi Naghiaei, Ali Tourani, Yashar Deldjoo
2022	J	`jnl`	Exploring the Impact of Temporal Bias in Point-of-Interest Recommendation. CoRR Hossein A. Rahmani, Mohammadmehdi Naghiaei, Ali Tourani, Yashar Deldjoo
2022	J	`jnl`	Leveraging Social Influence based on Users Activity Centers for Point-of-Interest Recommendation. CoRR Kosar Seyedhoseinzadeh, Hossein A. Rahmani, Mohsen Afsharchi, Mohammad Aliannejadi
2022	J	`jnl`	Leveraging social influence based on users activity centers for point-of-interest recommendation. Inf. Process. Manag. Kosar Seyedhoseinzadeh, Hossein A. Rahmani, Mohsen Afsharchi, Mohammad Aliannejadi
2022	J	`jnl`	PyCPFair: A framework for consumer and producer fairness in recommender systems. Softw. Impacts Mohammadmehdi Naghiaei, Hossein A. Rahmani, Yashar Deldjoo
2022	—	`conf`	The Unfairness of Active Users and Popularity Bias in Point-of-Interest Recommendation. BIAS Hossein A. Rahmani, Yashar Deldjoo, Ali Tourani, Mohammadmehdi Naghiaei
2022	J	`jnl`	The Unfairness of Active Users and Popularity Bias in Point-of-Interest Recommendation. CoRR Hossein A. Rahmani, Yashar Deldjoo, Ali Tourani, Mohammadmehdi Naghiaei
2022	—	`conf`	The Unfairness of Popularity Bias in Book Recommendation. BIAS Mohammadmehdi Naghiaei, Hossein A. Rahmani, Mahdi Dehghan
2022	J	`jnl`	The Unfairness of Popularity Bias in Book Recommendation. CoRR Mohammadmehdi Naghiaei, Hossein A. Rahmani, Mahdi Dehghan
2022	J	`jnl`	The role of context fusion on accuracy, beyond-accuracy, and fairness of point-of-interest recommendation systems. Expert Syst. Appl. Hossein A. Rahmani, Yashar Deldjoo, Tommaso Di Noia
2022	A	`conf`	Towards Confidence-aware Calibrated Recommendation. CIKM Mohammadmehdi Naghiaei, Hossein A. Rahmani, Mohammad Aliannejadi, Nasim Sonboli
2022	J	`jnl`	Towards Confidence-aware Calibrated Recommendation. CoRR Mohammadmehdi Naghiaei, Hossein A. Rahmani, Mohammad Aliannejadi, Nasim Sonboli
2022	—	`conf`	ViralBERT: A User Focused BERT-Based Approach to Virality Prediction. UMAP (Adjunct Publication) Rikaz Rameez, Hossein A. Rahmani, Emine Yilmaz
2022	J	`jnl`	ViralBERT: A User Focused BERT-Based Approach to Virality Prediction. CoRR Rikaz Rameez, Hossein A. Rahmani, Emine Yilmaz
2021	J	`jnl`	Demographic Biases of Crowd Workers in Key Opinion Leaders Finding. CoRR Hossein A. Rahmani, Jie Yang
2020	—	`conf`	Joint Geographical and Temporal Modeling Based on Matrix Factorization for Point-of-Interest Recommendation. ECIR (1) Hossein A. Rahmani, Mohammad Aliannejadi, Mitra Baratchi, Fabio Crestani
2020	J	`jnl`	Joint Geographical and Temporal Modeling based on Matrix Factorization for Point-of-Interest Recommendation. CoRR Hossein A. Rahmani, Mohammad Aliannejadi, Mitra Baratchi, Fabio Crestani
2020	J	`jnl`	Mining Shape of Expertise: A Novel Approach Based on Convolutional Neural Network. CoRR Mahdi Dehghan, Hossein A. Rahmani, Ahmad Ali Abin, Viet-Vu Vu
2020	J	`jnl`	Mining shape of expertise: A novel approach based on convolutional neural network. Inf. Process. Manag. Mahdi Dehghan, Hossein A. Rahmani, Ahmad Ali Abin, Viet-Vu Vu
2019	—	`conf`	A Regression Approach to Movie Rating Prediction Using Multimedia Content and Metadata. MediaEval Hossein A. Rahmani, Yashar Deldjoo, Markus Schedl
2019	Misc	`conf`	Category-Aware Location Embedding for Point-of-Interest Recommendation. ICTIR Hossein A. Rahmani, Mohammad Aliannejadi, Rasoul Mirzaei Zadeh, Mitra Baratchi, Mohsen Afsharchi, Fabio Crestani
2019	J	`jnl`	Category-Aware Location Embedding for Point-of-Interest Recommendation. CoRR Hossein A. Rahmani, Mohammad Aliannejadi, Rasoul Mirzaei Zadeh, Mitra Baratchi, Mohsen Afsharchi, Fabio Crestani
2019	J	`jnl`	Comparison of Tumor and Normal Cells Protein-Protein Interaction Network Parameters. CoRR Hossein A. Rahmani, Ali Reza Khanteymoori, Mohammad Hossein Olyaee
2019	—	`conf`	LGLMF: Local Geographical Based Logistic Matrix Factorization Model for POI Recommendation. AIRS Hossein A. Rahmani, Mohammad Aliannejadi, Sajad Ahmadian, Mitra Baratchi, Mohsen Afsharchi, Fabio Crestani
2019	J	`jnl`	LGLMF: Local Geographical based Logistic Matrix Factorization Model for POI Recommendation. CoRR Hossein A. Rahmani, Mohammad Aliannejadi, Sajad Ahmadian, Mitra Baratchi, Mohsen Afsharchi, Fabio Crestani