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2024
[j16]
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Yen-Chieh Lien, Hamed Zamani, W. Bruce Croft:
Generalized Weak Supervision for Neural Information Retrieval. ACM Trans. Inf. Syst. 42(5): 121:1-121:26 (2024)
[j15]
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Wenqiang Lei, Richang Hong, Hamed Zamani, Pawel Budzianowski, Vanessa Murdock, Emine Yilmaz:
Special Issue on Conversational Information Seeking. ACM Trans. Web 18(4): 41:1-41:3 (2024)
[c99]
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  - conf/acl/SalemiMBZ24
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Alireza Salemi, Sheshera Mysore, Michael Bendersky, Hamed Zamani:
LaMP: When Large Language Models Meet Personalization. ACL (1) 2024: 7370-7392
[c98]
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  - conf/kdd/TabariDKZGMK24
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Narges Tabari, Aniket Anand Deshmukh, Wang-Cheng Kang, Hamed Zamani, Rashmi Gangadharaiah, Julian J. McAuley, George Karypis:
First Workshop on Generative AI for Recommender Systems and Personalization. KDD 2024: 6737-6738
[c97]
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Leila Tavakoli, Giovanni Castiglia, Federica Calò, Yashar Deldjoo, Hamed Zamani, Johanne Trippas:
Understanding Modality Preferences in Search Clarification. MMSR@CIKM 2024
[c96]
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  - conf/naacl/ZhuZ24
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Yaxin Zhu, Hamed Zamani:
ICXML: An In-Context Learning Framework for Zero-Shot Extreme Multi-Label Classification. NAACL-HLT (Findings) 2024: 2086-2098
[c95]
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  - conf/sigir/Zeng0Z24
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Hansi Zeng, Chen Luo, Hamed Zamani:
Planning Ahead in Generative Retrieval: Guiding Autoregressive Generation through Simultaneous Decoding. SIGIR 2024: 469-480
[c94]
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  - conf/sigir/SalemiZ24
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Alireza Salemi, Hamed Zamani:
Towards a Search Engine for Machines: Unified Ranking for Multiple Retrieval-Augmented Large Language Models. SIGIR 2024: 741-751
[c93]
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Alireza Salemi, Surya Kallumadi, Hamed Zamani:
Optimization Methods for Personalizing Large Language Models through Retrieval Augmentation. SIGIR 2024: 752-762
[c92]
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  - conf/sigir/SamarinasZ24
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Chris Samarinas, Hamed Zamani:
ProCIS: A Benchmark for Proactive Retrieval in Conversations. SIGIR 2024: 830-840
[c91]
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  - conf/sigir/SalemiZ24a
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Alireza Salemi, Hamed Zamani:
Evaluating Retrieval Quality in Retrieval-Augmented Generation. SIGIR 2024: 2395-2400
[c90]
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  - conf/sigir/ZamaniB24
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Hamed Zamani, Michael Bendersky:
Stochastic RAG: End-to-End Retrieval-Augmented Generation through Expected Utility Maximization. SIGIR 2024: 2641-2646
[c89]
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  - conf/sigir/BenderskyLM0TWZ24
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Michael Bendersky, Cheng Li, Qiaozhu Mei, Vanessa Murdock, Jie Tang, Hongning Wang, Hamed Zamani, Mingyang Zhang, Xingjian Zhang:
The Second Workshop on Large Language Models for Individuals, Groups, and Society. SIGIR 2024: 3062-3064
[c88]
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  - conf/sigir/LamkhedeZBW24
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Sudarshan Lamkhede, Hamed Zamani, Moumita Bhattacharya, Hongning Wang:
Third Workshop on Personalization and Recommendations in Search (PaRiS). SIGIR 2024: 3065-3069
[c87]
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Fernando Diaz, Andrew Drozdov, To Eun Kim, Alireza Salemi, Hamed Zamani:
Retrieval-Enhanced Machine Learning: Synthesis and Opportunities. SIGIR-AP 2024: 299-302
[c86]
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  - conf/wsdm/Bendersky0M00WZ24
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Michael Bendersky, Cheng Li, Qiaozhu Mei, Vanessa Murdock, Jie Tang, Hongning Wang, Hamed Zamani, Mingyang Zhang:
WSDM 2024 Workshop on Large Language Models for Individuals, Groups, and Society. WSDM 2024: 1206-1207
[c85]
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  - conf/wsdm/DavePCLZWK24
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Vachik S. Dave, Linsey Pang, Xiquan Cui, Chen Luo, Hamed Zamani, Lingfei Wu, George Karypis:
The 3rd International Workshop on Interactive and Scalable Information Retrieval Methods for eCommerce (ISIR-eCom 2024). WSDM 2024: 1208-1209
[c84]
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Hansi Zeng, Chen Luo, Bowen Jin, Sheikh Muhammad Sarwar, Tianxin Wei, Hamed Zamani:
Scalable and Effective Generative Information Retrieval. WWW 2024: 1441-1452
[i72]
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  - journals/corr/abs-2403-09180
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Leila Tavakoli, Johanne R. Trippas, Hamed Zamani, Falk Scholer, Mark Sanderson:
Online and Offline Evaluation in Search Clarification. CoRR abs/2403.09180 (2024)
[i71]
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  - journals/corr/abs-2404-05970
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Alireza Salemi, Surya Kallumadi, Hamed Zamani:
Optimization Methods for Personalizing Large Language Models through Retrieval Augmentation. CoRR abs/2404.05970 (2024)
[i70]
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  - journals/corr/abs-2404-13781
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Alireza Salemi, Hamed Zamani:
Evaluating Retrieval Quality in Retrieval-Augmented Generation. CoRR abs/2404.13781 (2024)
[i69]
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  - journals/corr/abs-2404-14600
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Hansi Zeng, Chen Luo, Hamed Zamani:
Planning Ahead in Generative Retrieval: Guiding Autoregressive Generation through Simultaneous Decoding. CoRR abs/2404.14600 (2024)
[i68]
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  - journals/corr/abs-2404-14772
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Chris Samarinas, Pracha Promthaw, Atharva Nijasure, Hansi Zeng, Julian Killingback, Hamed Zamani:
Simulating Task-Oriented Dialogues with State Transition Graphs and Large Language Models. CoRR abs/2404.14772 (2024)
[i67]
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  - journals/corr/abs-2405-00175
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Alireza Salemi, Hamed Zamani:
Towards a Search Engine for Machines: Unified Ranking for Multiple Retrieval-Augmented Large Language Models. CoRR abs/2405.00175 (2024)
[i66]
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  - journals/corr/abs-2405-02816
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Hamed Zamani, Michael Bendersky:
Stochastic RAG: End-to-End Retrieval-Augmented Generation through Expected Utility Maximization. CoRR abs/2405.02816 (2024)
[i65]
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  - journals/corr/abs-2405-06460
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Chris Samarinas, Hamed Zamani:
ProCIS: A Benchmark for Proactive Retrieval in Conversations. CoRR abs/2405.06460 (2024)
[i64]
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  - journals/corr/abs-2406-19546
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Leila Tavakoli, Giovanni Castiglia, Federica Calò, Yashar Deldjoo, Hamed Zamani, Johanne R. Trippas:
Understanding Modality Preferences in Search Clarification. CoRR abs/2406.19546 (2024)
[i63]
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  - journals/corr/abs-2406-19928
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Garima Dhanania, Sheshera Mysore, Chau Minh Pham, Mohit Iyyer, Hamed Zamani, Andrew McCallum:
Interactive Topic Models with Optimal Transport. CoRR abs/2406.19928 (2024)
[i62]
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  - journals/corr/abs-2407-11016
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Ishita Kumar, Snigdha Viswanathan, Sushrita Yerra, Alireza Salemi, Ryan A. Rossi, Franck Dernoncourt, Hanieh Deilamsalehy, Xiang Chen, Ruiyi Zhang, Shubham Agarwal, Nedim Lipka, Hamed Zamani:
LongLaMP: A Benchmark for Personalized Long-form Text Generation. CoRR abs/2407.11016 (2024)
[i61]
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  - journals/corr/abs-2407-11605
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Mohammad Aliannejadi, Jacek Gwizdka, Hamed Zamani:
Interactions with Generative Information Retrieval Systems. CoRR abs/2407.11605 (2024)
[i60]
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  - journals/corr/abs-2407-12277
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Haoyang Wen, Honglei Zhuang, Hamed Zamani, Alexander Hauptmann, Michael Bendersky:
Multimodal Reranking for Knowledge-Intensive Visual Question Answering. CoRR abs/2407.12277 (2024)
[i59]
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  - journals/corr/abs-2407-12982
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To Eun Kim, Alireza Salemi, Andrew Drozdov, Fernando Diaz, Hamed Zamani:
Retrieval-Enhanced Machine Learning: Synthesis and Opportunities. CoRR abs/2407.12982 (2024)
[i58]
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  - journals/corr/abs-2409-09510
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Alireza Salemi, Hamed Zamani:
Comparing Retrieval-Augmentation and Parameter-Efficient Fine-Tuning for Privacy-Preserving Personalization of Large Language Models. CoRR abs/2409.09510 (2024)
[i57]
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  - journals/corr/abs-2410-04197
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Anirudh Atmakuru, Jatin Nainani, Rohith Siddhartha Reddy Bheemreddy, Anirudh Lakkaraju, Zonghai Yao, Hamed Zamani, Haw-Shiuan Chang:
CS4: Measuring the Creativity of Large Language Models Automatically by Controlling the Number of Story-Writing Constraints. CoRR abs/2410.04197 (2024)
[i56]
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  - journals/corr/abs-2410-09942
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Alireza Salemi, Hamed Zamani:
Learning to Rank for Multiple Retrieval-Augmented Models through Iterative Utility Maximization. CoRR abs/2410.09942 (2024)
[i55]
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  - journals/corr/abs-2411-00027
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Zhehao Zhang, Ryan A. Rossi, Branislav Kveton, Yijia Shao, Diyi Yang, Hamed Zamani, Franck Dernoncourt, Joe Barrow, Tong Yu, Sungchul Kim, Ruiyi Zhang, Jiuxiang Gu, Tyler Derr, Hongjie Chen, Junda Wu, Xiang Chen, Zichao Wang, Subrata Mitra, Nedim Lipka, Nesreen K. Ahmed, Yu Wang:
Personalization of Large Language Models: A Survey. CoRR abs/2411.00027 (2024)
2023
[j14]
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  - journals/ftir/ZamaniTDR23
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Hamed Zamani, Johanne R. Trippas, Jeff Dalton, Filip Radlinski:
Conversational Information Seeking. Found. Trends Inf. Retr. 17(3-4): 244-456 (2023)
[c83]
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  - conf/ictir/SalemiRZ23
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Alireza Salemi, Mahta Rafiee, Hamed Zamani:
Pre-Training Multi-Modal Dense Retrievers for Outside-Knowledge Visual Question Answering. ICTIR 2023: 169-176
[c82]
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  - conf/nips/XianZ0ZLM00WB23
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Ruicheng Xian, Honglei Zhuang, Zhen Qin, Hamed Zamani, Jing Lu, Ji Ma, Kai Hui, Han Zhao, Xuanhui Wang, Michael Bendersky:
Learning List-Level Domain-Invariant Representations for Ranking. NeurIPS 2023
[c81]
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  - conf/recsys/MysoreMZ23
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Sheshera Mysore, Andrew McCallum, Hamed Zamani:
Large Language Model Augmented Narrative Driven Recommendations. RecSys 2023: 777-783
[c80]
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  - conf/sigir/SalemiPZ23
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Alireza Salemi, Juan Altmayer Pizzorno, Hamed Zamani:
A Symmetric Dual Encoding Dense Retrieval Framework for Knowledge-Intensive Visual Question Answering. SIGIR 2023: 110-120
[c79]
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  - conf/sigir/ZengKANZ23
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Hansi Zeng, Surya Kallumadi, Zaid Alibadi, Rodrigo Frassetto Nogueira, Hamed Zamani:
A Personalized Dense Retrieval Framework for Unified Information Access. SIGIR 2023: 121-130
[c78]
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  - conf/sigir/ZamaniB23
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Hamed Zamani, Michael Bendersky:
Multivariate Representation Learning for Information Retrieval. SIGIR 2023: 163-173
[c77]
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  - conf/sigir/MysoreJMZ23
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Sheshera Mysore, Mahmood Jasim, Andrew McCallum, Hamed Zamani:
Editable User Profiles for Controllable Text Recommendations. SIGIR 2023: 993-1003
[c76]
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  - conf/sigir/HuangZZA23
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Zhiqi Huang, Hansi Zeng, Hamed Zamani, James Allan:
Soft Prompt Decoding for Multilingual Dense Retrieval. SIGIR 2023: 1208-1218
[c75]
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  - conf/sigir/HofstatterC0Z23
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Sebastian Hofstätter, Jiecao Chen, Karthik Raman, Hamed Zamani:
FiD-Light: Efficient and Effective Retrieval-Augmented Text Generation. SIGIR 2023: 1437-1447
[c74]
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  - conf/sigir/BenderskyC0Z23
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Michael Bendersky, Danqi Chen, Fernando Diaz, Hamed Zamani:
SIGIR 2023 Workshop on Retrieval Enhanced Machine Learning (REML @ SIGIR 2023). SIGIR 2023: 3468-3471
[c73]
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Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espín-Noboa, Wenqi Fan, Manuela Fritz, Quan Gan, Jingtong Gao, Xiaojie Guo, Torsten Hahmann, Jiawei Han, Soyeon Caren Han, Estevam Hruschka, Liang Hu, Jiaxin Huang, Utkarshani Jaimini, Olivier Jeunen, Yushan Jiang, Fariba Karimi, George Karypis, Krishnaram Kenthapadi, Himabindu Lakkaraju, Hady W. Lauw, Thai Le, Trung-Hoang Le, Dongwon Lee, Geon Lee, Liat Levontin, Cheng-Te Li, Haoyang Li, Ying Li, Jay Chiehen Liao, Qidong Liu, Usha Lokala, Ben London, Siqu Long, Hande Küçük-McGinty, Yu Meng, Seungwhan Moon, Usman Naseem, Pradeep Natarajan, Behrooz Omidvar-Tehrani, Zijie Pan, Devesh Parekh, Jian Pei, Tiago Peixoto, Steven Pemberton, Josiah Poon, Filip Radlinski, Federico Rossetto, Kaushik Roy, Aghiles Salah, Mehrnoosh Sameki, Amit P. Sheth, Cogan Shimizu, Kijung Shin, Dongjin Song, Julia Stoyanovich, Dacheng Tao, Johanne Trippas, Quoc Truong, Yu-Che Tsai, Adaku Uchendu, Bram van den Akker, Lin Wang, Minjie Wang, Shoujin Wang, Xin Wang, Ingmar Weber, Henry Weld, Lingfei Wu, Da Xu, Yifan Ethan Xu, Shuyuan Xu, Bo Yang, Ke Yang, Elad Yom-Tov, Jaemin Yoo, Zhou Yu, Reza Zafarani, Hamed Zamani, Meike Zehlike, Qi Zhang, Xikun Zhang, Yongfeng Zhang, Yu Zhang, Zheng Zhang, Liang Zhao, Xiangyu Zhao, Wenwu Zhu:
Tutorials at The Web Conference 2023. WWW (Companion Volume) 2023: 648-658
[c72]
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Vachik S. Dave, Linsey Pang, Xiquan Cui, Lingfei Wu, Hamed Zamani, George Karypis:
The 2nd Workshop on Interactive and Scalable Information Retrieval Methods for eCommerce (ISIR-eCom). WWW (Companion Volume) 2023: 850-853
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Sheshera Mysore, Mahmood Jasim, Andrew McCallum, Hamed Zamani:
Editable User Profiles for Controllable Text Recommendation. CoRR abs/2304.04250 (2023)
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Yen-Chieh Lien, Hamed Zamani, W. Bruce Croft:
Generalized Weak Supervision for Neural Information Retrieval. CoRR abs/2304.08912 (2023)
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Alireza Salemi, Sheshera Mysore, Michael Bendersky, Hamed Zamani:
LaMP: When Large Language Models Meet Personalization. CoRR abs/2304.11406 (2023)
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Alireza Salemi, Juan Altmayer Pizzorno, Hamed Zamani:
A Symmetric Dual Encoding Dense Retrieval Framework for Knowledge-Intensive Visual Question Answering. CoRR abs/2304.13649 (2023)
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Hansi Zeng, Surya Kallumadi, Zaid Alibadi, Rodrigo Frassetto Nogueira, Hamed Zamani:
A Personalized Dense Retrieval Framework for Unified Information Access. CoRR abs/2304.13654 (2023)
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Hamed Zamani, Michael Bendersky:
Multivariate Representation Learning for Information Retrieval. CoRR abs/2304.14522 (2023)
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Zhiqi Huang, Hansi Zeng, Hamed Zamani, James Allan:
Soft Prompt Decoding for Multilingual Dense Retrieval. CoRR abs/2305.09025 (2023)
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Sheshera Mysore, Andrew McCallum, Hamed Zamani:
Large Language Model Augmented Narrative Driven Recommendations. CoRR abs/2306.02250 (2023)
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Alireza Salemi, Mahta Rafiee, Hamed Zamani:
Pre-Training Multi-Modal Dense Retrievers for Outside-Knowledge Visual Question Answering. CoRR abs/2306.16478 (2023)
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Hansi Zeng, Chen Luo, Bowen Jin, Sheikh Muhammad Sarwar, Tianxin Wei, Hamed Zamani:
Scalable and Effective Generative Information Retrieval. CoRR abs/2311.09134 (2023)
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Yaxin Zhu, Hamed Zamani:
ICXML: An In-Context Learning Framework for Zero-Shot Extreme Multi-Label Classification. CoRR abs/2311.09649 (2023)
2022
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Leila Tavakoli, Hamed Zamani, Falk Scholer, William Bruce Croft, Mark Sanderson:
Analyzing clarification in asynchronous information-seeking conversations. J. Assoc. Inf. Sci. Technol. 73(3): 449-471 (2022)
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Helia Hashemi, Hamed Zamani, W. Bruce Croft:
Stochastic Optimization of Text Set Generation for Learning Multiple Query Intent Representations. CIKM 2022: 4003-4008
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Hamed Zamani:
Towards Mixed-Initiative Conversational Information Seeking. CIKM Workshops 2022
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Andrew Drozdov, Shufan Wang, Razieh Rahimi, Andrew McCallum, Hamed Zamani, Mohit Iyyer:
You can't pick your neighbors, or can you? When and How to Rely on Retrieval in the kNN-LM. EMNLP (Findings) 2022: 2997-3007
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Yaxin Zhu, Hamed Zamani:
Predicting Prerequisite Relations for Unseen Concepts. EMNLP 2022: 8542-8548
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Chris Samarinas, Arkin Dharawat, Hamed Zamani:
Revisiting Open Domain Query Facet Extraction and Generation. ICTIR 2022: 43-50
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Hamed Zamani, Michael Bendersky, Donald Metzler, Honglei Zhuang, Xuanhui Wang:
Stochastic Retrieval-Conditioned Reranking. ICTIR 2022: 81-91
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Neha Nayak Kennard, Tim O'Gorman, Rajarshi Das, Akshay Sharma, Chhandak Bagchi, Matthew Clinton, Pranay Kumar Yelugam, Hamed Zamani, Andrew McCallum:
DISAPERE: A Dataset for Discourse Structure in Peer Review Discussions. NAACL-HLT 2022: 1234-1249
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Hansi Zeng, Hamed Zamani, Vishwa Vinay:
Curriculum Learning for Dense Retrieval Distillation. SIGIR 2022: 1979-1983
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Hamed Zamani, Fernando Diaz, Mostafa Dehghani, Donald Metzler, Michael Bendersky:
Retrieval-Enhanced Machine Learning. SIGIR 2022: 2875-2886
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Leila Tavakoli, Johanne R. Trippas, Hamed Zamani, Falk Scholer, Mark Sanderson:
MIMICS-Duo: Offline & Online Evaluation of Search Clarification. SIGIR 2022: 3198-3208
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Jeffrey Dalton, Sophie Fischer, Paul Owoicho, Filip Radlinski, Federico Rossetto, Johanne R. Trippas, Hamed Zamani:
Conversational Information Seeking: Theory and Application. SIGIR 2022: 3455-3458
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Hamed Zamani, Johanne R. Trippas, Jeff Dalton, Filip Radlinski:
Conversational Information Seeking. CoRR abs/2201.08808 (2022)
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Hansi Zeng, Hamed Zamani, Vishwa Vinay:
Curriculum Learning for Dense Retrieval Distillation. CoRR abs/2204.13679 (2022)
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Hamed Zamani, Fernando Diaz, Mostafa Dehghani, Donald Metzler, Michael Bendersky:
Retrieval-Enhanced Machine Learning. CoRR abs/2205.01230 (2022)
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Leila Tavakoli, Johanne R. Trippas, Hamed Zamani, Falk Scholer, Mark Sanderson:
MIMICS-Duo: Offline & Online Evaluation of Search Clarification. CoRR abs/2206.04417 (2022)
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Sebastian Hofstätter, Nick Craswell, Bhaskar Mitra, Hamed Zamani, Allan Hanbury:
Are We There Yet? A Decision Framework for Replacing Term Based Retrieval with Dense Retrieval Systems. CoRR abs/2206.12993 (2022)
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Sebastian Hofstätter, Jiecao Chen, Karthik Raman, Hamed Zamani:
Multi-Task Retrieval-Augmented Text Generation with Relevance Sampling. CoRR abs/2207.03030 (2022)
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Sebastian Hofstätter, Jiecao Chen, Karthik Raman, Hamed Zamani:
FiD-Light: Efficient and Effective Retrieval-Augmented Text Generation. CoRR abs/2209.14290 (2022)
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Andrew Drozdov, Shufan Wang, Razieh Rahimi, Andrew McCallum, Hamed Zamani, Mohit Iyyer:
You can't pick your neighbors, or can you? When and how to rely on retrieval in the kNN-LM. CoRR abs/2210.15859 (2022)
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Ruicheng Xian, Honglei Zhuang, Zhen Qin, Hamed Zamani, Jing Lu, Ji Ma, Kai Hui, Han Zhao, Xuanhui Wang, Michael Bendersky:
Learning List-Level Domain-Invariant Representations for Ranking. CoRR abs/2212.10764 (2022)
2021
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Mohammad Aliannejadi, Hamed Zamani, Fabio Crestani, W. Bruce Croft:
Context-aware Target Apps Selection and Recommendation for Enhancing Personal Mobile Assistants. ACM Trans. Inf. Syst. 39(3): 29:1-29:30 (2021)
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Claudia Hauff, Julia Kiseleva, Mark Sanderson, Hamed Zamani, Yongfeng Zhang:
Conversational Search and Recommendation: Introduction to the Special Issue. ACM Trans. Inf. Syst. 39(4): 38:1-38:6 (2021)
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Yashar Deldjoo, Vito Walter Anelli, Hamed Zamani, Alejandro Bellogín, Tommaso Di Noia:
A flexible framework for evaluating user and item fairness in recommender systems. User Model. User Adapt. Interact. 31(3): 457-511 (2021)
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Jaime Arguello, Adam Ferguson, Emery Fine, Bhaskar Mitra, Hamed Zamani, Fernando Diaz:
Tip of the Tongue Known-Item Retrieval: A Case Study in Movie Identification. CHIIR 2021: 5-14
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Mohammad Aliannejadi, Leif Azzopardi, Hamed Zamani, Evangelos Kanoulas, Paul Thomas, Nick Craswell:
Analysing Mixed Initiatives and Search Strategies during Conversational Search. CIKM 2021: 16-26
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Helia Hashemi, Hamed Zamani, W. Bruce Croft:
Learning Multiple Intent Representations for Search Queries. CIKM 2021: 669-679
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Somin Wadhwa, Hamed Zamani:
Towards System-Initiative Conversational Information Seeking. DESIRES 2021: 102-116
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Hamed Zamani:
Session details: Session 2B - Conversational Search. ICTIR 2021
[c55]
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Sheshera Mysore, Tim O'Gorman, Andrew McCallum, Hamed Zamani:
CSFCube - A Test Collection of Computer Science Research Articles for Faceted Query by Example. NeurIPS Datasets and Benchmarks 2021
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Sebastian Hofstätter, Bhaskar Mitra, Hamed Zamani, Nick Craswell, Allan Hanbury:
Intra-Document Cascading: Learning to Select Passages for Neural Document Ranking. SIGIR 2021: 1349-1358
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Rosie Jones, Hamed Zamani, Markus Schedl, Ching-Wei Chen, Sravana Reddy, Ann Clifton, Jussi Karlgren, Helia Hashemi, Aasish Pappu, Zahra Nazari, Longqi Yang, Oguz Semerci, Hugues Bouchard, Ben Carterette:
Current Challenges and Future Directions in Podcast Information Access. SIGIR 2021: 1554-1565
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Yashar Deldjoo, Johanne R. Trippas, Hamed Zamani:
Towards Multi-Modal Conversational Information Seeking. SIGIR 2021: 1577-1587
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Bhaskar Mitra, Sebastian Hofstätter, Hamed Zamani, Nick Craswell:
Improving Transformer-Kernel Ranking Model Using Conformer and Query Term Independence. SIGIR 2021: 1697-1702
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Prafull Prakash, Julian Killingback, Hamed Zamani:
Learning Robust Dense Retrieval Models from Incomplete Relevance Labels. SIGIR 2021: 1728-1732
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Chen Qu, Hamed Zamani, Liu Yang, W. Bruce Croft, Erik G. Learned-Miller:
Passage Retrieval for Outside-Knowledge Visual Question Answering. SIGIR 2021: 1753-1757
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Binsheng Liu, Hamed Zamani, Xiaolu Lu, J. Shane Culpepper:
Generalizing Discriminative Retrieval Models using Generative Tasks. WWW 2021: 3745-3756
[i34]
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Mohammad Aliannejadi, Hamed Zamani, Fabio Crestani, W. Bruce Croft:
Context-Aware Target Apps Selection and Recommendation for Enhancing Personal Mobile Assistants. CoRR abs/2101.03394 (2021)
[i33]
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Jaime Arguello, Adam Ferguson, Emery Fine, Bhaskar Mitra, Hamed Zamani, Fernando Diaz:
Tip of the Tongue Known-Item Retrieval: A Case Study in Movie Identification. CoRR abs/2101.07124 (2021)
[i32]
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Sheshera Mysore, Tim O'Gorman, Andrew McCallum, Hamed Zamani:
CSFCube - A Test Collection of Computer Science Research Articles for Faceted Query by Example. CoRR abs/2103.12906 (2021)
[i31]
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Bhaskar Mitra, Sebastian Hofstätter, Hamed Zamani, Nick Craswell:
Improving Transformer-Kernel Ranking Model Using Conformer and Query Term Independence. CoRR abs/2104.09393 (2021)
[i30]
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Chen Qu, Hamed Zamani, Liu Yang, W. Bruce Croft, Erik G. Learned-Miller:
Passage Retrieval for Outside-Knowledge Visual Question Answering. CoRR abs/2105.03938 (2021)
[i29]
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  - journals/corr/abs-2105-09816
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Sebastian Hofstätter, Bhaskar Mitra, Hamed Zamani, Nick Craswell, Allan Hanbury:
Intra-Document Cascading: Learning to Select Passages for Neural Document Ranking. CoRR abs/2105.09816 (2021)
[i28]
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  - journals/corr/abs-2106-09227
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Rosie Jones, Hamed Zamani, Markus Schedl, Ching-Wei Chen, Sravana Reddy, Ann Clifton, Jussi Karlgren, Helia Hashemi, Aasish Pappu, Zahra Nazari, Longqi Yang, Oguz Semerci, Hugues Bouchard, Ben Carterette:
Current Challenges and Future Directions in Podcast Information Access. CoRR abs/2106.09227 (2021)
[i27]
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  - journals/corr/abs-2109-05955
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Mohammad Aliannejadi, Leif Azzopardi, Hamed Zamani, Evangelos Kanoulas, Paul Thomas, Nick Craswell:
Analysing Mixed Initiatives and Search Strategies during Conversational Search. CoRR abs/2109.05955 (2021)
[i26]
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  - journals/corr/abs-2110-08520
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Neha Nayak Kennard, Tim O'Gorman, Akshay Sharma, Chhandak Bagchi, Matthew Clinton, Pranay Kumar Yelugam, Rajarshi Das, Hamed Zamani, Andrew McCallum:
A Dataset for Discourse Structure in Peer Review Discussions. CoRR abs/2110.08520 (2021)
[i25]
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  - journals/corr/abs-2111-01314
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Razieh Rahimi, Youngwoo Kim, Hamed Zamani, James Allan:
Explaining Documents' Relevance to Search Queries. CoRR abs/2111.01314 (2021)
2020
[j9]
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Jiafeng Guo, Yixing Fan, Liang Pang, Liu Yang, Qingyao Ai, Hamed Zamani, Chen Wu, W. Bruce Croft, Xueqi Cheng:
A Deep Look into neural ranking models for information retrieval. Inf. Process. Manag. 57(6): 102067 (2020)
[c47]
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Hamed Zamani, Gord Lueck, Everest Chen, Rodolfo Quispe, Flint Luu, Nick Craswell:
MIMICS: A Large-Scale Data Collection for Search Clarification. CIKM 2020: 3189-3196
[c46]
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Helia Hashemi, Mohammad Aliannejadi, Hamed Zamani, W. Bruce Croft:
ANTIQUE: A Non-factoid Question Answering Benchmark. ECIR (2) 2020: 166-173
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Ali Montazeralghaem, Hamed Zamani, James Allan:
A Reinforcement Learning Framework for Relevance Feedback. SIGIR 2020: 59-68
[c44]
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Helia Hashemi, Hamed Zamani, W. Bruce Croft:
Guided Transformer: Leveraging Multiple External Sources for Representation Learning in Conversational Search. SIGIR 2020: 1131-1140
[c43]
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Hamed Zamani, Bhaskar Mitra, Everest Chen, Gord Lueck, Fernando Diaz, Paul N. Bennett, Nick Craswell, Susan T. Dumais:
Analyzing and Learning from User Interactions for Search Clarification. SIGIR 2020: 1181-1190
[c42]
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Yen-Chieh Lien, Hamed Zamani, W. Bruce Croft:
Recipe Retrieval with Visual Query of Ingredients. SIGIR 2020: 1565-1568
[c41]
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Sebastian Hofstätter, Hamed Zamani, Bhaskar Mitra, Nick Craswell, Allan Hanbury:
Local Self-Attention over Long Text for Efficient Document Retrieval. SIGIR 2020: 2021-2024
[c40]
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Hamed Zamani, Nick Craswell:
Macaw: An Extensible Conversational Information Seeking Platform. SIGIR 2020: 2193-2196
[c39]
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Bhaskar Mitra, Sebastian Hofstätter, Hamed Zamani, Nick Craswell:
Conformer-Kernel with Query Term Independence at TREC 2020 Deep Learning Track. TREC 2020
[c38]
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Hamed Zamani, W. Bruce Croft:
Learning a Joint Search and Recommendation Model from User-Item Interactions. WSDM 2020: 717-725
[c37]
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Hamed Zamani, Susan T. Dumais, Nick Craswell, Paul N. Bennett, Gord Lueck:
Generating Clarifying Questions for Information Retrieval. WWW 2020: 418-428
[i24]
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  - journals/corr/abs-2001-06910
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Krisztian Balog, Lucie Flekova, Matthias Hagen, Rosie Jones, Martin Potthast, Filip Radlinski, Mark Sanderson, Svitlana Vakulenko, Hamed Zamani:
Common Conversational Community Prototype: Scholarly Conversational Assistant. CoRR abs/2001.06910 (2020)
[i23]
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  - journals/corr/abs-2005-04908
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Sebastian Hofstätter, Hamed Zamani, Bhaskar Mitra, Nick Craswell, Allan Hanbury:
Local Self-Attention over Long Text for Efficient Document Retrieval. CoRR abs/2005.04908 (2020)
[i22]
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  - journals/corr/abs-2006-00166
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Hamed Zamani, Bhaskar Mitra, Everest Chen, Gord Lueck, Fernando Diaz, Paul N. Bennett, Nick Craswell, Susan T. Dumais:
Analyzing and Learning from User Interactions for Search Clarification. CoRR abs/2006.00166 (2020)
[i21]
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Helia Hashemi, Hamed Zamani, W. Bruce Croft:
Guided Transformer: Leveraging Multiple External Sources for Representation Learning in Conversational Search. CoRR abs/2006.07548 (2020)
[i20]
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  - journals/corr/abs-2006-10174
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Hamed Zamani, Gord Lueck, Everest Chen, Rodolfo Quispe, Flint Luu, Nick Craswell:
MIMICS: A Large-Scale Data Collection for Search Clarification. CoRR abs/2006.10174 (2020)
[i19]
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  - journals/corr/abs-2007-10434
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Bhaskar Mitra, Sebastian Hofstätter, Hamed Zamani, Nick Craswell:
Conformer-Kernel with Query Term Independence for Document Retrieval. CoRR abs/2007.10434 (2020)
[i18]
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  - journals/corr/abs-2011-07368
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Bhaskar Mitra, Sebastian Hofstätter, Hamed Zamani, Nick Craswell:
Conformer-Kernel with Query Term Independence at TREC 2020 Deep Learning Track. CoRR abs/2011.07368 (2020)

2010 – 2019

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2019
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Hamed Zamani:
Neural models for information retrieval without labeled data. SIGIR Forum 53(2): 104-105 (2019)
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Hamed Zamani, Markus Schedl, Paul Lamere, Ching-Wei Chen:
An Analysis of Approaches Taken in the ACM RecSys Challenge 2018 for Automatic Music Playlist Continuation. ACM Trans. Intell. Syst. Technol. 10(5): 57:1-57:21 (2019)
[c36]
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Rajarshi Das, Ameya Godbole, Dilip Kavarthapu, Zhiyu Gong, Abhishek Singhal, Mo Yu, Xiaoxiao Guo, Tian Gao, Hamed Zamani, Manzil Zaheer, Andrew McCallum:
Multi-step Entity-centric Information Retrieval for Multi-Hop Question Answering. MRQA@EMNLP 2019: 113-118
[c35]
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Helia Hashemi, Hamed Zamani, W. Bruce Croft:
Performance Prediction for Non-Factoid Question Answering. ICTIR 2019: 55-58
[c34]
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Yashar Deldjoo, Vito Walter Anelli, Hamed Zamani, Alejandro Bellogín Kouki, Tommaso Di Noia:
Recommender Systems Fairness Evaluation via Generalized Cross Entropy. RMSE@RecSys 2019
[c33]
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Mohammad Aliannejadi, Hamed Zamani, Fabio Crestani, W. Bruce Croft:
Asking Clarifying Questions in Open-Domain Information-Seeking Conversations. SIGIR 2019: 475-484
[c32]
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Mohammad Naseri, Hamed Zamani:
Analyzing and Predicting News Popularity in an Instant Messaging Service. SIGIR 2019: 1053-1056
[i17]
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  - journals/corr/abs-1903-06902
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Jiafeng Guo, Yixing Fan, Liang Pang, Liu Yang, Qingyao Ai, Hamed Zamani, Chen Wu, W. Bruce Croft, Xueqi Cheng:
A Deep Look into Neural Ranking Models for Information Retrieval. CoRR abs/1903.06902 (2019)
[i16]
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  - journals/corr/abs-1905-01758
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Harshith Padigela, Hamed Zamani, W. Bruce Croft:
Investigating the Successes and Failures of BERT for Passage Re-Ranking. CoRR abs/1905.01758 (2019)
[i15]
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  - journals/corr/abs-1905-08957
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Helia Hashemi, Mohammad Aliannejadi, Hamed Zamani, W. Bruce Croft:
ANTIQUE: A Non-Factoid Question Answering Benchmark. CoRR abs/1905.08957 (2019)
[i14]
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  - journals/corr/abs-1907-06554
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Mohammad Aliannejadi, Hamed Zamani, Fabio Crestani, W. Bruce Croft:
Asking Clarifying Questions in Open-Domain Information-Seeking Conversations. CoRR abs/1907.06554 (2019)
[i13]
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  - journals/corr/abs-1908-06708
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Yashar Deldjoo, Vito Walter Anelli, Hamed Zamani, Alejandro Bellogín, Tommaso Di Noia:
Recommender Systems Fairness Evaluation via Generalized Cross Entropy. CoRR abs/1908.06708 (2019)
[i12]
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  - journals/corr/abs-1909-07598
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Ameya Godbole, Dilip Kavarthapu, Rajarshi Das, Zhiyu Gong, Abhishek Singhal, Hamed Zamani, Mo Yu, Tian Gao, Xiaoxiao Guo, Manzil Zaheer, Andrew McCallum:
Multi-step Entity-centric Information Retrieval for Multi-Hop Question Answering. CoRR abs/1909.07598 (2019)
[i11]
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  - journals/corr/abs-1912-08904
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Hamed Zamani, Nick Craswell:
Macaw: An Extensible Conversational Information Seeking Platform. CoRR abs/1912.08904 (2019)
2018
[j6]
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Markus Schedl, Hamed Zamani, Ching-Wei Chen, Yashar Deldjoo, Mehdi Elahi:
Current challenges and visions in music recommender systems research. Int. J. Multim. Inf. Retr. 7(2): 95-116 (2018)
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Shayan A. Tabrizi, Azadeh Shakery, Hamed Zamani, Mohammad Ali Tavallaei:
PERSON: Personalized information retrieval evaluation based on citation networks. Inf. Process. Manag. 54(4): 630-656 (2018)
[j4]
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Hamed Zamani, Azadeh Shakery:
A language model-based framework for multi-publisher content-based recommender systems. Inf. Retr. J. 21(5): 369-409 (2018)
[c31]
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Hamed Zamani, Mostafa Dehghani, W. Bruce Croft, Erik G. Learned-Miller, Jaap Kamps:
From Neural Re-Ranking to Neural Ranking: Learning a Sparse Representation for Inverted Indexing. CIKM 2018: 497-506
[c30]
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Mohammad Aliannejadi, Hamed Zamani, Fabio Crestani, W. Bruce Croft:
In Situ and Context-Aware Target Apps Selection for Unified Mobile Search. CIKM 2018: 1383-1392
[c29]
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Hamed Zamani, W. Bruce Croft:
Joint Modeling and Optimization of Search and Recommendation. DESIRES 2018: 36-41
[c28]
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Mahsa S. Shahshahani, Faegheh Hasibi, Hamed Zamani, Azadeh Shakery:
Towards a Unified Supervised Approach for Ranking Triples of Type-Like Relations. ECIR 2018: 707-714
[c27]
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Hamed Zamani, W. Bruce Croft:
On the Theory of Weak Supervision for Information Retrieval. ICTIR 2018: 147-154
[c26]
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  - conf/recsys/ChenLSZ18
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Ching-Wei Chen, Paul Lamere, Markus Schedl, Hamed Zamani:
Recsys challenge 2018: automatic music playlist continuation. RecSys 2018: 527-528
[c25]
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Hamed Zamani, W. Bruce Croft, J. Shane Culpepper:
Neural Query Performance Prediction using Weak Supervision from Multiple Signals. SIGIR 2018: 105-114
[c24]
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Mohammad Aliannejadi, Hamed Zamani, Fabio Crestani, W. Bruce Croft:
Target Apps Selection: Towards a Unified Search Framework for Mobile Devices. SIGIR 2018: 215-224
[c23]
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Daniel Cohen, John Foley, Hamed Zamani, James Allan, W. Bruce Croft:
Universal Approximation Functions for Fast Learning to Rank: Replacing Expensive Regression Forests with Simple Feed-Forward Networks. SIGIR 2018: 1017-1020
[c22]
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Hamed R. Bonab, Hamed Zamani, Erik G. Learned-Miller, James Allan:
Citation Worthiness of Sentences in Scientific Reports. SIGIR 2018: 1061-1064
[c21]
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Ali Montazeralghaem, Hamed Zamani, Azadeh Shakery:
Theoretical Analysis of Interdependent Constraints in Pseudo-Relevance Feedback. SIGIR 2018: 1249-1252
[c20]
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Hamed Zamani, Mostafa Dehghani, Fernando Diaz, Hang Li, Nick Craswell:
SIGIR 2018 Workshop on Learning from Limited or Noisy Data for Information Retrieval. SIGIR 2018: 1439-1440
[c19]
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Hamed Zamani, Bhaskar Mitra, Xia Song, Nick Craswell, Saurabh Tiwary:
Neural Ranking Models with Multiple Document Fields. WSDM 2018: 700-708
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Mohammad Aliannejadi, Hamed Zamani, Fabio Crestani, W. Bruce Croft:
Target Apps Selection: Towards a Unified Search Framework for Mobile Devices. CoRR abs/1805.02211 (2018)
[i9]
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Hamed Zamani, W. Bruce Croft:
Towards Theoretical Understanding of Weak Supervision for Information Retrieval. CoRR abs/1806.04815 (2018)
[i8]
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Hamed Zamani, W. Bruce Croft:
Joint Modeling and Optimization of Search and Recommendation. CoRR abs/1807.05631 (2018)
[i7]
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Hamed Zamani, Markus Schedl, Paul Lamere, Ching-Wei Chen:
An Analysis of Approaches Taken in the ACM RecSys Challenge 2018 for Automatic Music Playlist Continuation. CoRR abs/1810.01520 (2018)
2017
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Javid Dadashkarimi, Azadeh Shakery, Heshaam Faili, Hamed Zamani:
An expectation-maximization algorithm for query translation based on pseudo-relevant documents. Inf. Process. Manag. 53(2): 371-387 (2017)
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Mohammad Aliannejadi, Maram Hasanain, Jiaxin Mao, Jaspreet Singh, Johanne R. Trippas, Hamed Zamani, Laura Dietz:
ACM SIGIR Student Liaison Program. SIGIR Forum 51(3): 42-45 (2017)
[c18]
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Mozhdeh Ariannezhad, Ali Montazeralghaem, Hamed Zamani, Azadeh Shakery:
Iterative Estimation of Document Relevance Score for Pseudo-Relevance Feedback. ECIR 2017: 676-683
[c17]
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Hossein Rahmatizadeh Zagheli, Hamed Zamani, Azadeh Shakery:
A Semantic-Aware Profile Updating Model for Text Recommendation. RecSys 2017: 316-320
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Mostafa Dehghani, Hamed Zamani, Aliaksei Severyn, Jaap Kamps, W. Bruce Croft:
Neural Ranking Models with Weak Supervision. SIGIR 2017: 65-74
[c15]
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Hamed Zamani, W. Bruce Croft:
Relevance-based Word Embedding. SIGIR 2017: 505-514
[c14]
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Ali Montazeralghaem, Hamed Zamani, Azadeh Shakery:
Term Proximity Constraints for Pseudo-Relevance Feedback. SIGIR 2017: 1085-1088
[c13]
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Navid Rekabsaz, Mihai Lupu, Allan Hanbury, Hamed Zamani:
Word Embedding Causes Topic Shifting; Exploit Global Context! SIGIR 2017: 1105-1108
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Mozhdeh Ariannezhad, Ali Montazeralghaem, Hamed Zamani, Azadeh Shakery:
Improving Retrieval Performance for Verbose Queries via Axiomatic Analysis of Term Discrimination Heuristic. SIGIR 2017: 1201-1204
[c11]
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Qingyao Ai, Hamed Zamani, Stephen M. Harding, Shahrzad Naseri, James Allan, W. Bruce Croft:
UMass at TREC 2017 Common Core Track. TREC 2017
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Hamed Zamani, Michael Bendersky, Xuanhui Wang, Mingyang Zhang:
Situational Context for Ranking in Personal Search. WWW 2017: 1531-1540
[i6]
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Mostafa Dehghani, Hamed Zamani, Aliaksei Severyn, Jaap Kamps, W. Bruce Croft:
Neural Ranking Models with Weak Supervision. CoRR abs/1704.08803 (2017)
[i5]
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Hamed Zamani, W. Bruce Croft:
Relevance-based Word Embedding. CoRR abs/1705.03556 (2017)
[i4]
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Liu Yang, Hamed Zamani, Yongfeng Zhang, Jiafeng Guo, W. Bruce Croft:
Neural Matching Models for Question Retrieval and Next Question Prediction in Conversation. CoRR abs/1707.05409 (2017)
[i3]
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Markus Schedl, Hamed Zamani, Ching-Wei Chen, Yashar Deldjoo, Mehdi Elahi:
Current Challenges and Visions in Music Recommender Systems Research. CoRR abs/1710.03208 (2017)
[i2]
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Hamed Zamani, Bhaskar Mitra, Xia Song, Nick Craswell, Saurabh Tiwary:
Neural Ranking Models with Multiple Document Fields. CoRR abs/1711.09174 (2017)
2016
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Hamed Zamani, Heshaam Faili, Azadeh Shakery:
Sentence alignment using local and global information. Comput. Speech Lang. 39: 88-107 (2016)
[c9]
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Hamed Zamani, Javid Dadashkarimi, Azadeh Shakery, W. Bruce Croft:
Pseudo-Relevance Feedback Based on Matrix Factorization. CIKM 2016: 1483-1492
[c8]
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Ali Montazeralghaem, Hamed Zamani, Azadeh Shakery:
Cross Domain User Engagement Evaluation. ECIR 2016: 754-760
[c7]
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Hamed Zamani, W. Bruce Croft:
Estimating Embedding Vectors for Queries. ICTIR 2016: 123-132
[c6]
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Hamed Zamani, W. Bruce Croft:
Embedding-based Query Language Models. ICTIR 2016: 147-156
[c5]
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Ali Montazeralghaem, Hamed Zamani, Azadeh Shakery:
Axiomatic Analysis for Improving the Log-Logistic Feedback Model. SIGIR 2016: 765-768
2015
[c4]
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José G. C. de Souza, Hamed Zamani, Matteo Negri, Marco Turchi, Daniele Falavigna:
Multitask Learning for Adaptive Quality Estimation of Automatically Transcribed Utterances. HLT-NAACL 2015: 714-724
[c3]
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Hamed Zamani, Pooya Moradi, Azadeh Shakery:
Adaptive User Engagement Evaluation via Multi-task Learning. SIGIR 2015: 1011-1014
[i1]
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Hamed Zamani, Azadeh Shakery, Pooya Moradi:
Regression and Learning to Rank Aggregation for User Engagement Evaluation. CoRR abs/1501.07467 (2015)
2014
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Hamed Zamani, Hossein Nasr Esfahani, Pariya Babaie, Samira Abnar, Mostafa Dehghani, Azadeh Shakery:
Authorship Identification Using Dynamic Selection of Features from Probabilistic Feature Set. CLEF 2014: 128-140
[c1]
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Samira Abnar, Mostafa Dehghani, Hamed Zamani, Azadeh Shakery:
Expanded N-Grams for Semantic Text Alignment Notebook for PAN at CLEF 2014. CLEF (Working Notes) 2014: 928-938

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