Sean MacAvaney

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Sean MacAvaney

Sean MacAvaney

@macavaney

he/him · Senior Lecturer (Assoc. Professor) at @GlasgowCS @TerrierTeam · working at the intersection of IR&NLP · PhD from @Georgetown IRLab

Glasgow, Scotland Katılım Haziran 2010
585 Takip Edilen1.8K Takipçiler
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Sean MacAvaney
Sean MacAvaney@macavaney·
I'm delighted to have received the SIGIR Early Career Researcher Award! Thanks to all my wonderful students, colleagues, and collaborators for their support and countless discussions about wild new ideas for the field. x.com/ir_glasgow/sta…
Glasgow IR Group@ir_glasgow

Huge congratulations to @macavaney on receiving the prestigious ACM SIGIR Early Career Researcher Award in the research category! This well-deserved recognition highlights the excellence & impact of his work in the IR community 👏🎉#sigir2025 Cc @GlasgowCS @UofGlasgow @ACMSIGIR

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CLPsych
CLPsych@CLPsychOrg·
The call for papers for CLPsych 2026 collocated with ACL 2026 is out and we have a shared task that is accepting applications! We would love to learn more about your amazing work at the intersection of NLP and clinical psychology. clpsych.org/call-for-paper…
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Craig Macdonald
Craig Macdonald@craig_macdonald·
PyTerrier 1.0 has been released: - ➡️ search pipeline validation, visualisation and verification - 📘more documentation - ☕️ java now optional 🆕📰github.com/terrier-org/py… Try pip install pyterrier[all] w/ @macavaney
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Sean MacAvaney
Sean MacAvaney@macavaney·
Indeed, awesome to see another method leverage rerankers with document proximity to overcome first-stage recall limitations 🤓
Mandeep Rathee@rathee_mandeep

Happy to see another research group, @haike_xu working in the same direction and our SlideGAR in the BRIGHT world. However, Reranker-Guided Search is not new. There are papers like Quam (WSDM'25), ORE (SIGIR'25), ReFIT(SIGIR'25), TOUR (ACL'23) that use the ranker's guidance.

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Andrew Parry
Andrew Parry@MrParryParry·
🚨 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 @debforit and @macavaney, we explore data selection in modern ranking. 🧵 Below
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Sumit@_reachsumit

Disentangling Locality and Entropy in Ranking Distillation @MrParryParry et al. separate example selection effects from teacher ranking entropy in neural ranking model optimization, showing complex hard-negative pipelines offer minimal gains. 📝arxiv.org/abs/2505.21058

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Nandan Thakur
Nandan Thakur@beirmug·
@macavaney @din0s_ Hi @macavaney thanks for the comment. We did not directly compare the knowledge distillation directly yet. I'll share soon once I have numbers. We internally had the same suggestion, however, we didn't think KD was central to the paper in our comparison until the deadline.
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dinos
dinos@din0s_·
another banger hit the TL
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Sean MacAvaney
Sean MacAvaney@macavaney·
@beirmug @din0s_ Nice work! As you point out in the paper, the approach is related to existing distillation methods. I see some analysis of this in Section 6, but I would love to see a direct head-to-head comparison. Have you tried this? Might make good appendix material.
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Sean MacAvaney
Sean MacAvaney@macavaney·
As @hscells et al say: ♻️ Reduce, Reuse, Recycle! It's never been easier to share indexes (Terrier, Anserini, Pisa, Dense, etc.) using HuggingFace, Zenodo, etc. 🤓
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Sumit@_reachsumit

Artifact Sharing for Information Retrieval Research @macavaney introduces a flexible way to share artifacts like indices and models for Information Retrieval research, improving both accessibility and usability. 📝arxiv.org/abs/2505.05434 👨🏽‍💻github.com/seanmacavaney/…

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Lucy Li
Lucy Li@lucy3_li·
I'm joining @WisconsinCS @uwcdis as an assistant professor in fall 2026!! There, I'll continue working on language models, computational social science, & responsible AI. 🌲🧀🚣🏻‍♀️ Apply to be my PhD student! Before then, I'll postdoc for a year at another UW🏔️ -- @uwnlp @uwcse.
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CLPsych
CLPsych@CLPsychOrg·
CLPsych 2025 @naaclmeeting is happening soon! We're looking forward to seeing you all. Stay tuned for the Best Poster Award, which will be voted on the day of the workshop after the poster session.
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RAGTIME Track 🔎 TREC 2025
RAGTIME Track 🔎 TREC 2025@trec_ragtime·
Want to help shape the next generation of RAG systems? TREC RAGTIME focuses on long-form report generation, including sources from multiple languages.
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