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Starting today's #ecir2025 with Glasgow IR Group's Andrew Parry talking about "Corporal Performance Prediction".

Now time for another excellent #ecir2025 Glasgow IR Group talk by Fangzheng Tian on "Revisiting Query Variants." (work w/ Debasis Ganguly and Craig Macdonald)

The man, the myth, the legend Thomas Jänich presenting another excellent Glasgow IR Group paper: "Fair Exposure Allocation using Generative Query Expansion" at this year's ECIR2025 #IR4GOOD track (work w/ graham mcdonald and Iadh Ounis)

A morning of excellent presentations and contributions by staff and students of the Glasgow IR Group group UofG Computing Science at #ecir2025

Finishing up #ECIR2025 for Glasgow IR Group is Andreas Chari talking about his work (w/ Sean MacAvaney & Iadh Ounis) on improving low-resource retrieval with linguistic similarity transfer! A great end to the conference! Glasgow IR Group @glasgowcs

Last day ECIR2025 but TerrierTeam isn’t done yet! Up next: our very own Andreas Chari presenting an exciting talk on Low-Resource Retrieval. Don’t miss it — and make sure to check out the paper! 😎😎👏#ecir2025

.Andreas Chari talking about fine tuning dense retrieval models for low resource languages #ecir2025. Work with Sean MacAvaney and Iadh Ounis cc/ Glasgow IR Group

The last remaining members of the group at the closing of the #ir4good track and the #ecir2025 workshops. As we bid farewell to the charming and warm Lucca, it’s time to start new journeys including heading back to the sunny and green Glasgow!

I just listened to a thought-provoking Glasgow IR Group #IRTalk from Atsuki Yamaguchi Atsuki Yamaguchi from the University of Sheffield The University of Sheffield on "Cross-lingual Vocabulary Adaptation: Overview and Challenges."

At 15:00 on 28th April, Harry Scells Harry Scells from University of Tübingen will give an #IRTalk entitled "Quantifying and Applying Green IR". Details: samoa.dcs.gla.ac.uk/events/viewtal… UofG Computing Science Glasgow IR Group

Congratulations to Thomas Jänich who today successfully defended his PhD Thesis titled ‘Fair Group-Based Exposure of Documents in Ranked Search Results’. Thanks to the examiners Sole Pera (Delft University of Technology) and Chris Anagnostopoulos! 🥳🎉👏👏 Well done Thomas! Glasgow IR Group

Today, Harry Scells Harry Scells from University of Tübingen is giving an #IRTalk entitled "Quantifying and Applying Green IR". Details: samoa.dcs.gla.ac.uk/events/viewtal… UofG Computing Science Glasgow IR Group

Today, Orion Weller Orion Weller from Johns Hopkins University JHU CLSP is giving an #IRTalk entitled "Beyond Semantic Search: Prompting, Reasoning, and Instruction-Following in Retrieval". Details: samoa.dcs.gla.ac.uk/events/viewtal… UofG Computing Science Glasgow IR Group

🎉 Glad to share that our paper "KiRAG: Knowledge-Driven Iterative Retriever for Enhancing Retrieval-Augmented Generation" (w/ Zaiqiao Meng and Craig Macdonald) has been accepted at #ACL2025 as a main conference paper!

🚨 New Pre-Print! We show that in-context learning can steer LLM rankers to satisfy multiple objectives at once, relevance and fairness/diversity, without any parameter updates. Work done jointly with Nilanjan Sinhababu from IIT Kharagpur and Debasis Ganguly. 🧵 Below!

Full details in our paper. I'd love to discuss broader applications of this work in Padua at #SIGIR2025 in July, so reach out! In the meantime, have a read! ➡️ arxiv.org/abs/2505.17736

🚨 New Pre-Print! You've just added your 600th model to your negative mining pool and filtered all false negatives. Does any of this even matter when we can apply distillation? In this work with Debasis Ganguly and Sean MacAvaney, we explore data selection in modern ranking. 🧵 Below

❓Which retrieval library should you use for RAG? Which agent library? Where do you get datasets? We made PyTerrier RAG to stop your headaches! Led by Craig Macdonald /w (Jinyuan Fang , me and Zaiqiao Meng )! 🧵 ⬇️

We have a demo at #SIGIR2025 this year. In the meantime, check out the pre-print and the codebase! Pre-Print: arxiv.org/abs/2506.10802 Code: github.com/terrierteam/py…

Great talk at #healtac2025 by Xinhao Yi presenting his interesting research on editing long-tail biomedical knowledge within LLMs!