.Niklas Deckers now presenting "Evaluating Generative Ad Hoc Information Retrieval" at #sigir2024

Evaluating generative retrieval systems that directly return generated texts with references is an interesting research problem for the coming years. Now we have Niklas Deckers at #SIGIR2024 presenting perspectives on "Evaluating Generative Ad Hoc IR". webis.de/publications.h…

What a great talk from Zhuyun Dai ! So many cool works and ideas

Wow, nice to see that our work on efficient answer generation by compressed embedding get so much attention (with davidrau, Stéphane Clinchant, Hervé Déjean), and is among many other interesting papers, our paper is available at arxiv.org/abs/2407.09252

Starbucks: Improved Training for 2D Matryoshka Embeddings Improves 2D Matryoshka by using targeted layer-dimension pairs, achieving effectiveness comparable to separately trained models while maintaining adaptability. 📝arxiv.org/abs/2410.13230 👨🏽‍💻github.com/ielab/Starbucks

Update to COCOM Now it has been accepted to WSDM2025 in Germany

If you are at #EMNLP2024 and interested in RAG, come to discuss our BERGEN library! Vassilina Nikoulina will present the BERGEN poster tomorrow, Nov 13, 16:00-17:30, location: Jasmine Repo: github.com/naver/bergen Paper: aclanthology.org/2024.findings-… NAVER LABS Europe #NLProc #RAG

2D Matryoshka Training for Information Retrieval Wang shuai (Dylan) et al. present a reproducibility study and improvement of the 2D Matryoshka embedding model for IR, with new techniques for enhanced retrieval tasks. 📝arxiv.org/abs/2411.17299 github.com/ielab/2DMSE-Re…

Mark Sanderson Mark Sanderson is delivering a keynote for SIGIR-AP SIGIR-AP 2025 Melbourne hub about opportunities and challenges to evaluating generative retrieval. Mentioned about paper dl.acm.org/doi/abs/10.114…

Unofficial social mixer at Day 2 of #sigirap2024 #naarm Guido Zuccon we’re sending the bill 😝

Oleg Zendel

Delighted to share our full paper "An Investigation of Prompt Variations for Zero-shot LLM-based Rankers" w/Shengyao Zhuang Wang shuai (Dylan) Guido Zuccon has been accepted at ECIR2025! Huge thanks to co-authors. Check it out if you're into prompt variations & LLM-rankers. #ecir2025

Rank-R1: Enhancing Reasoning in LLM-based Document Rerankers via Reinforcement Learning Shengyao Zhuang et al. introduce a LLM-based reranker that performs reasoning over queries and candidate documents before ranking. 📝arxiv.org/abs/2503.06034

🎉 Excited to share the list of our ielab papers accepted at #SIGIR2025 ACM SIGIR! Topics include efficiency in IR, domain-specific IR (SysRev, podcast), screenshot retrievers, hallucination detection, and more. See you in Padua 🇮🇹! Details coming soon, stay tuned!

Yesterday I presented our #ECIR2025 paper "An Investigation of Prompt Variations for Zero-shot LLM-based Rankers", with Shuoqi Sun Shengyao Zhuang Wang shuai (Dylan). Yes, it was in a church! Slides at ielab.io/files/guido-20… and paper at arxiv.org/abs/2406.14117

Thank you so much Guido Zuccon ! It was great to collaborate with you and ieLab members Wang shuai (Dylan) Shengyao Zhuang ! Hope to see you soon and work together again. 😁

I'm here in Sydney for WWW2025! see us this Thursday, at WWW conference at Posterboard-21, Short Paper & Demo Parkside Ballroom if you are interested!