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2020 – today
- 2025
[j6]Charles L. A. Clarke, Paul B. Kantor, Adam Roegiest, Johanne R. Trippas, Zhaochun Ren, Maria Sofia Bucarelli, Xiao Fu
, Yixing Fan, Michael Granitzer, David Graus, Maria Heuss, Jaap Kamps, Yibin Lei, Andrew Parry, Damiaan Reijnaers, Maarten de Rijke, Siddharth A. K. Singh, Yubao Tang, Suzan Verberne, Jonas Wallat, Yumeng Wang, Chen Xu, Andrew Yates, Saber Zerhoudi, Jujia Zhao:
Report on the 2nd Search Futures Workshop at ECIR 2025. SIGIR Forum 59(1): 1-28 (2025)- [j5]Maarten de Rijke, Bart van den Hurk, Flora Salim, Alaa Al Khourdajie, Nan Bai, Renato Calzone, Declan J. Curran, Getnet Demil, Lesley Frew, Noah Gießing, Mukesh Kumar Gupta, Maria Heuss, Sanaa Hobeichi, David Huard, Jingwei Kang, Ana Lucic, Tanwi Mallick, Shruti Nath, Andrew Okem, Barbara Pernici, Thilina Rajapakse, Hira Saleem, Harry Scells, Nicole Schneider, Damiano Spina, Yuanyuan Tian, Edmund Totin, Andrew Trotman, Ramamurthy Valavandan, Dereje Workneh, Yangxinyu Xie:
Report on the 1st Workshop on Information Retrieval for Climate Impact (MANILA24) at SIGIR 2024. SIGIR Forum 59(1): 1-23 (2025) - [j4]Dante Campregher, Yanxu Chen, Sander Hoffman, Maria Heuss:
Tracing Facts or just Copies? A critical investigation of the Competitions of Mechanisms in Large Language Models. Trans. Mach. Learn. Res. 2025 (2025) - [j3]Asen Dotsinski, Udit Thakur, Marko Ivanov, Mohammad Hafeez Khan, Maria Heuss:
On the Generalizability of "Competition of Mechanisms: Tracing How Language Models Handle Facts and Counterfactuals". Trans. Mach. Learn. Res. 2025 (2025) - [j2]Tijs Wiegman, Leyla Perotti, Viktória Pravdová, Ori Brand, Maria Heuss:
Reproducibility study of "Competition of Mechanisms: Tracing How Language Models Handle Facts and Counterfactuals". Trans. Mach. Learn. Res. 2025 (2025) - [c8]Jonas Wallat, Maria Heuss, Maarten de Rijke, Avishek Anand:
Correctness is not Faithfulness in Retrieval Augmented Generation Attributions. ICTIR 2025: 22-32 - [c7]Clara Rus, Jasmin Kareem, Chen Xu, Yuanna Liu, Zhirui Deng, Maria Heuss:
AMS42 at the NTCIR-18 FairWeb-2 Task. NTCIR 2025 - [c6]Maria Heuss, Maarten de Rijke, Avishek Anand:
RankingSHAP - Faithful Listwise Feature Attribution Explanations for Ranking Models. SIGIR 2025: 381-391 - [c5]Maria Heuss, Catherine Chen, Avishek Anand, Carsten Eickhoff, Suzan Verberne:
Workshop on Explainability in Information Retrieval. SIGIR 2025: 4164-4167 - [i8]Maarten de Rijke, Bart van den Hurk, Flora Salim, Alaa Al Khourdajie, Nan Bai, Renato Calzone, Declan J. Curran, Getnet Demil, Lesley Frew, Noah Gießing, Mukesh Kumar Gupta, Maria Heuss, Sanaa Hobeichi, David Huard, Jingwei Kang, Ana Lucic, Tanwi Mallick, Shruti Nath, Andrew Okem, Barbara Pernici, Thilina Rajapakse, Hira Saleem, Harry Scells, Nicole Schneider, Damiano Spina, Yuanyuan Tian, Edmund Totin, Andrew Trotman, Ramamurthy Valavandan, Dereje Workneh, Yangxinyu Xie:
Information Retrieval for Climate Impact. CoRR abs/2504.01162 (2025) - [i7]Asen Dotsinski, Udit Thakur, Marko Ivanov, Mohammad Hafeez Khan, Maria Heuss:
On the Generalizability of "Competition of Mechanisms: Tracing How Language Models Handle Facts and Counterfactuals". CoRR abs/2506.22977 (2025) - [i6]Dante Campregher, Yanxu Chen, Sander Hoffman, Maria Heuss:
Tracing Facts or just Copies? A critical investigation of the Competitions of Mechanisms in Large Language Models. CoRR abs/2507.11809 (2025) - 2024
- [i5]Maria Heuss, Maarten de Rijke, Avishek Anand:
RankingSHAP - Listwise Feature Attribution Explanations for Ranking Models. CoRR abs/2403.16085 (2024) - [i4]Jonas Wallat, Maria Heuss, Maarten de Rijke, Avishek Anand:
Correctness is not Faithfulness in RAG Attributions. CoRR abs/2412.18004 (2024) - 2023
- [j1]Avishek Anand, Maria Soledad Pera, Maria Heuss, Venktesh V, Matteo Corsi:
Report on the 21st Dutch-Belgian Information Retrieval Workshop (DIR 2023). SIGIR Forum 57(2): 22:1-22:5 (2023) - [c4]Maria Heuss, Daniel Cohen, Masoud Mansoury, Maarten de Rijke, Carsten Eickhoff:
Predictive Uncertainty-based Bias Mitigation in Ranking. CIKM 2023: 762-772 - [i3]Maria Heuss, Daniel Cohen, Masoud Mansoury, Maarten de Rijke, Carsten Eickhoff:
Predictive Uncertainty-based Bias Mitigation in Ranking. CoRR abs/2309.09833 (2023) - 2022
- [c3]Maria Heuss, Fatemeh Sarvi, Maarten de Rijke:
Fairness of Exposure in Light of Incomplete Exposure Estimation. SIGIR 2022: 759-769 - [c2]Fatemeh Sarvi, Maria Heuss, Mohammad Aliannejadi, Sebastian Schelter, Maarten de Rijke:
Understanding and Mitigating the Effect of Outliers in Fair Ranking. WSDM 2022: 861-869 - [i2]Maria Heuss, Fatemeh Sarvi, Maarten de Rijke:
Fairness of Exposure in Light of Incomplete Exposure Estimation. CoRR abs/2205.12901 (2022) - 2021
- [c1]Ali Vardasbi, Gabriel Bénédict, Shashank Gupta, Maria Heuss, Pooya Khandel, Ming Li, Fatemeh Sarvi:
The University of Amsterdam at the TREC 2021 Fair Ranking Track. TREC 2021 - [i1]Fatemeh Sarvi, Maria Heuss, Mohammad Aliannejadi, Sebastian Schelter, Maarten de Rijke:
Understanding and Mitigating the Effect of Outliers in Fair Ranking. CoRR abs/2112.11251 (2021)
Coauthor Index
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