Informagus @ SIGIR 2025
Sunday: Heydar (doctoral consortium)
Monday: Djoerd (short paper), Daria & Arjen (short paper), Santiago & Harrie et al. (short paper), etc., etc.
Colleague @harrieo.bsky.social made this impressive poster of all Radboud U. contributions to #SIGIR2025
11.07.2025 11:14 โ
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Informagus @ SIGIR & ICTIR 2025
Sunday July 13 โ Tutorials and DC Consortium
Enhancing Knowledge Injection in Large Language Models for Efficient and Trustworthy Responses
Heydar Soudani
Doctoral Consortium Paper - 16:30 - Doctoral Consortium
Monday July 14 โ Main Conference
Score-Fitted Indexes and Constant Length Indexes for Information Retrieval
Djoerd Hiemstra
Short Paper - 14:00 - Short Papers Posters 1
In a Few Words: Comparing Weak Supervision and LLMs for Short Query Intent Classification
Daria Alexander, Arjen P. de Vries
Short Paper - 14:00 - Short Papers Posters 1
RecGaze: The First Eye Tracking and User Interaction Dataset for Carousel Interfaces
Santiago de Leon-Martinez, Jingwei Kang, Robert Moro, Maarten de Rijke, Branislav Kveton, Harrie Oosterhuis, Maria Bielikova
Resource Paper - 14:00 - Resource Papers Posters 1
Tuesday July 15 โ Main Conference
Optimizing Compound Retrieval Systems
Harrie Oosterhuis, Rolf Jagerman, Zhen Qin, Xuanhui Wang
Full Paper - 14:00 - Search and Ranking 1
Wednesday July 16 โ Main Conference
Learning to Rank with Variable Result Presentation Lengths
Norman Knyazev, Harrie Oosterhuis
Full Paper - 10:30 - Reranking
Adaptive Orchestration of Modular Generative Information Access Systems
Mohanna Hoveyda, Harrie Oosterhuis, Arjen P. de Vries, Maarten de Rijke, Faegheh Hasibi
Perspectives Paper - 12:15 - Perspectives 1
Thursday July 17 โ Workshops
On the Neural Hype and Improving Efficiency of Sparse Retrieval
Djoerd Hiemstra
Keynote - 10:30 - ReNeuIRโ25 Workshop
Harnessing Pairwise Ranking Prompting Through Sample-Efficient Ranking Distillation
Junru Wu, Le Yan, Zhen Qin, Honglei Zhuang, Paul Suganthan G.C., Tianqi Liu, Zhe Dong, Xuanhui Wang, Harrie Oosterhuis
Workshop Paper - 14:15 - ReNeuIRโ25 Workshop
An Axiomatic Examination of Uncertainty Estimation in RAG Systems
Heydar Soudani, Evangelos Kanoulas, Faegheh Hasibi
Workshop Paper - Time TBA - IR-RAGโ25 Workshop
FACE: A Fine-grained Reference Free Evaluator for Coโฆ
If you are attending #SIGIR2025 and #ICTIR2025, come check out our research group's presentations! ๐
We have 14 presentations in total, with at least one every day. ๐
If you want to know more about our group, e.g., the meaning of the Informagus name ๐, do reach out to us.
See you in Padua! ๐ โ๏ธ ๐ฎ๐น
11.07.2025 08:49 โ
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Rethinking Click Models in Light of Carousel Interfaces: Theory-Based Categorization and Design of Click Models
Jingwei Kang, Maarten de Rijke, Santiago de Leon-Martinez, Harrie Oosterhuis
arxiv.org/abs/2506.18548
Presentation: Friday 18 July 11:55 - ICTIRโ25 Oral Presentations
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08.07.2025 16:53 โ
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Harnessing Pairwise Ranking Prompting Through Sample-Efficient Ranking Distillation
Junru Wu, Le Yan, Zhen Qin, Honglei Zhuang, Paul Suganthan G.C., Tianqi Liu, Zhe Dong, Xuanhui Wang, Harrie Oosterhuis
arxiv.org/abs/2507.04820
Presentation: Thursday 17 July 14:15 - ReNeuIR25 Paper Session
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08.07.2025 16:53 โ
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Adaptive Orchestration of Modular Generative Information Access Systems
Mohanna Hoveyda, Harrie Oosterhuis, Arjen P. de Vries, Maarten de Rijke, Faegheh Hasibi
arxiv.org/abs/2504.17454
Code: github.com/informagi/AQA
Presentation: Wednesday 16 July 12:15 - Perspectives 1
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08.07.2025 16:53 โ
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Learning to Rank with Variable Result Presentation Lengths
Norman Knyazev, Harrie Oosterhuis
arxiv.org/abs/2506.23319
Code: github.com/NKNY/varlenr...
Presentation: Wednesday 16 July 10:30 - Reranking
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08.07.2025 16:53 โ
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Optimizing Compound Retrieval Systems
Harrie Oosterhuis, Rolf Jagerman, Zhen Qin, Xuanhui Wang
arxiv.org/abs/2504.12063
Code: github.com/google-deepm...
Presentation: Tuesday 15 July 11:15 - Search and Ranking 1
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08.07.2025 16:53 โ
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RecGaze: The First Eye Tracking and User Interaction Dataset for Carousel Interfaces
Santiago de Leon-Martinez, Jingwei Kang, Robert Moro, Maarten de Rijke, Branislav Kveton, Harrie Oosterhuis, Maria Bielikova
arxiv.org/abs/2504.20792
Monday 14 July 14:00 - Resource Papers Posters 1
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08.07.2025 16:53 โ
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Next week, I'll be in Padua, Italy for #SIGIR25 & #ICTIR25. ๐ฎ๐น๐๐๐ท๐นโ๏ธ
SIGIR is one of my favourite conferences, so I'm very happy to have six co-authored works there, two of which I'll present myself. ๐
I'm looking forward to seeing many of you there! ๐
Come check out our presentations! ๐งต๐๐ 0/6
08.07.2025 16:53 โ
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DIR 2025
#DIR2025, the 22nd Dutch-Belgian Information Retrieval workshop will take place at Radboud University Nijmegen on 27 October 2025!
https://informagus.nl/dir2025/
06.06.2025 09:07 โ
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Very excited for the 4th edition of CONSEQUENCES at the RecSys 2025 conference! ๐
Check our our call for contributions below, and follow @consequencesrecsys.bsky.social for more info.
16.05.2025 08:02 โ
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Santiago de Leon-Martinez, Jingwei Kang, Robert Moro, Maarten de Rijke, Branislav Kveton, Harrie Oosterhuis, Maria Bielikova
RecGaze: The First Eye Tracking and User Interaction Dataset for Carousel Interfaces
https://arxiv.org/abs/2504.20792
30.04.2025 04:15 โ
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Mohanna Hoveyda, Harrie Oosterhuis, Arjen P. de Vries, Maarten de Rijke, Faegheh Hasibi
Adaptive Orchestration of Modular Generative Information Access Systems
https://arxiv.org/abs/2504.17454
25.04.2025 04:55 โ
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Harrie Oosterhuis, Rolf Jagerman, Zhen Qin, Xuanhui Wang
Optimizing Compound Retrieval Systems
https://arxiv.org/abs/2504.12063
17.04.2025 04:03 โ
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I'm looking forward to reading this, Bhaskar!
12.03.2025 18:47 โ
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Those damn aliens are always so hard to reach! ๐ฝ
28.01.2025 13:07 โ
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Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting
Zhen Qin, Rolf Jagerman, Kai Hui, Honglei Zhuang, Junru Wu, Le Yan, Jiaming Shen, Tianqi Liu, Jialu Liu, Donald Metzler, Xuanhui Wang, Michael Bendersky. Findings of the Association for Computational ...
My colleagues published about pairwise relevance labeling this last year (and even earlier on arXiv):
aclanthology.org/2024.finding...
Why I personally think it works better, mainly because it's hard to calibrate a pointwise relevance prediction, but a pairwise prediction hardly needs calibration.
14.01.2025 09:29 โ
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