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ORCIDOleg Zendel
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2020 – today
- 2025
[j3]Johanne R. Trippas, J. Shane Culpepper
, Mohammad Aliannejadi, James Allan, Enrique Amigó, Jaime Arguello, Leif Azzopardi, Peter Bailey, Jamie Callan, Rob Capra, Nick Craswell, W. Bruce Croft, Jeff Dalton, Gianluca Demartini, Laura Dietz, Zhicheng Dou, Carsten Eickhoff, Michael D. Ekstrand, Nicola Ferro, Norbert Fuhr, Dorota Glowacka, Faegheh Hasibi, Danula Hettiachchi, Rosie Jones, Jaap Kamps, Noriko Kando, Sarvnaz Karimi, Makoto P. Kato, Bevan Koopman, Yiqun Liu, Chenglong Ma, Joel Mackenzie, Maria Maistro, Jiaxin Mao, Dana McKay, Bhaskar Mitra, Stefano Mizzaro, Alistair Moffat, Josiane Mothe, Iadh Ounis, Lida Rashidi, Yongli Ren, Mark Sanderson, Rodrygo L. T. Santos, Falk Scholer, Chirag Shah, Laurianne Sitbon, Ian Soboroff, Damiano Spina, Paul Thomas, Julián Urbano, Arjen P. de Vries, Ryen White, Abby Yuan, Hamed Zamani, Oleg Zendel, Min Zhang, Shengyao Zhuang, Justin Zobel, Guido Zuccon:
Report from the 4th Strategic Workshop on Information Retrieval in Lorne (SWIRL 2025). SIGIR Forum 59(1): 1-68 (2025)- [c13]Johanne R. Trippas, Oleg Zendel, Adam Roegiest:
Applying Large Language Models to Interactive Information Retrieval: A Practical Exploration. CHIIR 2025: 405-406 - [c12]Oleg Zendel, Sara Fahad Dawood Al Lawati, Lida Rashidi, Falk Scholer, Mark Sanderson:
A Comparative Analysis of Linguistic and Retrieval Diversity in LLM-Generated Search Queries. CIKM 2025: 4014-4023 - [c11]Laura Dietz, Oleg Zendel, Peter Bailey, Charles L. A. Clarke, Ellese Cotterill, Jeff Dalton, Faegheh Hasibi, Mark Sanderson, Nick Craswell:
Principles and Guidelines for the Use of LLM Judges. ICTIR 2025: 218-229 - [i2]Laura Dietz, Oleg Zendel, Peter Bailey, Charles L. A. Clarke, Ellese Cotterill, Jeff Dalton, Faegheh Hasibi, Mark Sanderson, Nick Craswell:
LLM-Evaluation Tropes: Perspectives on the Validity of LLM-Evaluations. CoRR abs/2504.19076 (2025) - [i1]Kun Ran, Shuoqi Sun, Khoi Nguyen Dinh Anh, Damiano Spina, Oleg Zendel:
RMIT-ADM+S at the SIGIR 2025 LiveRAG Challenge. CoRR abs/2506.14516 (2025) - 2024
- [j2]Alexander Frummet, Andrea Papenmeier, Maik Fröbe, Johannes Kiesel, Vaibhav Adlakha, Norbert Braunschweiler, Mateusz Dubiel, Satanu Ghosh, Marcel Gohsen, Christin Kreutz, Milad Momeni, Markus Nilles, Sachin Pathiyan Cherumanal, Abbas Pirmoradi, Paul Thomas, Johanne R. Trippas, Ines Zelch, Oleg Zendel:
Report on the 8th Workshop on Search-Oriented Conversational Artificial Intelligence (SCAI 2024) at CHIIR 2024. SIGIR Forum 58(1): 1-12 (2024) - [c10]Oleg Zendel, J. Shane Culpepper, Falk Scholer, Paul Thomas:
Enhancing Human Annotation: Leveraging Large Language Models and Efficient Batch Processing. CHIIR 2024: 340-345 - [c9]Oleg Zendel, Maik Fröbe, Guglielmo Faggioli:
QPPTK@TIREx: Simplified Query Performance Prediction for Ad-Hoc Retrieval Experiments. WOWS@ECIR 2024: 50-62 - 2023
- [c8]Oleg Zendel, Binsheng Liu, J. Shane Culpepper, Falk Scholer:
Entropy-Based Query Performance Prediction for Neural Information Retrieval Systems. QPP++@ECIR 2023: 37-44 - 2022
- [j1]Guglielmo Faggioli, Oleg Zendel, J. Shane Culpepper, Nicola Ferro, Falk Scholer:
sMARE: a new paradigm to evaluate and understand query performance prediction methods. Inf. Retr. J. 25(2): 94-122 (2022) - [c7]Oleg Zendel, Melika P. Ebrahim, J. Shane Culpepper, Alistair Moffat, Falk Scholer:
Can Users Predict Relative Query Effectiveness? SIGIR 2022: 2545-2549 - 2021
- [c6]Guglielmo Faggioli, Oleg Zendel, J. Shane Culpepper, Nicola Ferro, Falk Scholer:
An Enhanced Evaluation Framework for Query Performance Prediction. ECIR (1) 2021: 115-129 - [c5]Guglielmo Faggioli, Oleg Zendel, J. Shane Culpepper, Nicola Ferro, Falk Scholer:
sMARE: An Enhanced Query Performance Prediction Evaluation Approach (Discussion Paper). SEBD 2021: 235-242 - [c4]Oleg Zendel, J. Shane Culpepper, Falk Scholer:
Is Query Performance Prediction With Multiple Query Variations Harder Than Topic Performance Prediction? SIGIR 2021: 1713-1717 - [c3]Oleg Zendel:
New Perspectives to Query Performance Prediction Evaluation. SIGIR 2021: 2706 - 2020
- [c2]Oleg Zendel, Yaroslav Fyodorov, Fiana Raiber, Natalia Silberstein, Oren Somekh, Ali Tabaja:
Leveraging User Email Actions to Improve Ad-Close Prediction. CIKM 2020: 2293-2296
2010 – 2019
- 2019
- [c1]Oleg Zendel, Anna Shtok, Fiana Raiber, Oren Kurland, J. Shane Culpepper:
Information Needs, Queries, and Query Performance Prediction. SIGIR 2019: 395-404
Coauthor Index
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