The IRLab at the University of Amsterdam
@irlab_amsterdam
The IRLab at U. of Amsterdam, w/ Mohammad Aliannejadi @maliannejadi, Evangelos Kanoulas @ekanou, Maarten Marx, Maarten de Rijke @mdr, Andrew Yates @andrewyates
ID: 201194687
http://irlab.science.uva.nl 11-10-2010 09:20:43
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Our reproducibility paper "Ranked List Truncation: From Retrieval to Re-ranking" w/ Negar Arabzadeh Arian Askari Mohammad Aliannejadi Maarten de Rijke got accepted at #SIGIR2024 SIGIR 2025 We show query-specific re-ranking depths can optimize effectiveness/efficiency trade-offs in LLM-based re-ranking
Happy to share that our full paper "Going Beyond Popularity and Positivity Bias: Correcting for Multifactorial Bias in Recommender Systems" with Jin, Harrie Oosterhuis, Herke van Hoof, and Maarten de Rijke has been accepted at #SIGIR2024.
🚀 Can we rely on LLMs’ internal knowledge to answer complex questions? 🚀 In our recent work with Mohammad Aliannejadi, we propose a method for generating multiple queries to cover different aspects of the user’s information needs. The paper is available: arxiv.org/abs/2403.19302
Listening to Andrew Yates Andrew Yates (University of Amsterdam) giving an in-person Glasgow IR Group seminar at UofG Computing Science entitled “An encoder-centric view of neural retrieval” #GlasgowIRTalk
1/4 Interested in fine-tuning open-source LLMs to generate relevance judgments? Check out our paper “Query Performance Prediction using Relevance Judgments Generated by Large Language Models” w/ Negar Arabzadeh Arian Askari Mohammad Aliannejadi Maarten de Rijke Paper at: arxiv.org/abs/2404.01012
Search Engines Amsterdam 🌊 is back! Next Friday, we host two great talks by Arthur Câmara and Arian Askari on using LLMs for data augmentation in IR. Register now and join us next week: meetup.com/de-DE/sea-sear…
Join us tomorrow at 5pm for Search Engines Amsterdam 🌊, with talks by Arthur Câmara and Arian Askari about using LLMs for data augmentation in IR! 🎉 Register here: meetup.com/sea-search-eng…
🚀 Eager to improve speed and performance in LLM-based re-ranking? Explore our #SIGIR2024 SIGIR 2025 long paper “Ranked List Truncation for Large Language Model-based Re-Ranking” w/ Negar Arabzadeh Arian Askari Mohammad Aliannejadi Maarten de Rijke Preprint: arxiv.org/abs/2404.18185 Thread 👇 1/4
Interested in improving our understanding of climate impact? In appraising the growing literature on climate impact? Tell us where research on IR for climate impact should go. Submit 2-4 pp abstract to SIGIR'24 workshop on IR for Climate Impact. DL: May 9. sites.google.com/view/ir-for-cl…
SEA 🌊 is back! Join us on Friday, May 17th, when Olivier Jeunen takes a critical look at evaluating recommender systems using nDCG! Sign up here 👉: meetup.com/de-DE/sea-sear…
Join us at the IRLab this Friday for Search Engines Amsterdam 🌊. Olivier Jeunen will visit us and take a critical look at evaluating recommender systems using nDCG. Sign up here 👉: meetup.com/de-DE/sea-sear…
Another SEA 🌊 meetup in May? Yes 🎉! This Thursday at 13:00 CET, we will host Peter Brusilovsky (University of Pittsburgh) at IRLab for a talk on "User Control for Personalized Information Access". Sign up now 👉: meetup.com/de-DE/sea-sear…
Join us next Friday, June 28th, for our last SEA meet-up before the summer break! 🎉 @snbruch (Pinecone) and Hansi Zeng (UMass Amherst) will discuss recent innovations in search indexing for dense retrieval and in scaling generative IR. Sign up here 👉 meetup.com/de-DE/sea-sear…
Join us for Search Engines Amsterdam this Friday at 4pm CEST! @snbruch (Pinecone) and Hansi Zeng (UMass) will join us and discuss recent innovations in search indexing for dense retrieval and in generative IR. Sign up here 👇 meetup.com/sea-search-eng…
