Delighted to share our full paper "An Investigation of Prompt Variations for Zero-shot LLM-based Rankers" w/@ShengyaoZhuang @dylan_wangs @guidozuc has been accepted at @ecir2025! Huge thanks to co-authors. Check it out if you're into prompt variations & LLM-rankers. #ecir2025

RT @Giridja: ESSIR 2024 made their videos publicly available!!! They'll add more in the near future 😍 #essir2024

RT @dylan_wangs: Today in @SIGIRConf at M3.1, I will briefly introduce our newly published collection FeB4RAG! The collection is the first…

RT @guidozuc: Now @ShengyaoZhuang presenting our setwise LLM ranker at #sigir2024

RT @xinyu_max: @dylan_wangs is now sharing his new resource paper ‘FeB4RAG’ for federated search @SIGIRConf Check paper:

RT @guidozuc: Today the #SIGIR2024 main program starts. We are presenting several papers -- come to check them out

RT @guidozuc: Now the dense retrieval session at #sigir2024 starts with our paper Leveraging LLMs for unsupervised dense retrieval selectio…

RT @_reachsumit: BERGEN: A Benchmarking Library for Retrieval-Augmented Generation Naver introduces a Python library for standardizing RAG…

RT @_reachsumit: An Investigation of Prompt Variations for Zero-shot LLM-based Rankers Reveals that prompt components and wording signific…