Andreas Chari
@andreas_chari
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@ir_glasgow PhD Student, University of Glasgow. Researching multilingual NLP & IR Supervisors: @macavaney & @iadh. ๐จ๐พ Views my own
Glasgow
Joined October 2022
Thrilled to join @asash on the Recsperts podcast! Thanks @MarcelKurovski for having us. We had a blast discussing our #RecSys research & transformer-based sequential recommendation. Tune in on your favorite podcast platform
recsperts.com
In episode 29 of Recsperts, I welcome Craig Macdonald, Professor of Information Retrieval at the University of Glasgow, and Aleksandr โSashaโ Petrov, PhD researcher and former applied scientist at ...
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With some of us already en route home, the rest of #TeamUofG bids farewell to #SIGIR2025 & the beautiful city of Padova. We had a great week full of ideas, activities & connections. Thanks to the organisers for a fantastic conference! Until next time ๐ฎ๐น #GoodbyePadova #ByeSIGIR
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Go to stall 091 if you want to check out the poster of this @ir_glasgow work by @DanielTian97 called "Am I on the Right Track?" #SIGIR2025 (done w/t @JinyuanF, @debforit, @mengzaiqiao and @craig_macdonald)
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After @iadhโs keynote at the #sigir2025 FinIR workshop and @DanielTian97โs talk at the RAG workshop, our SIGIR journey winds down โ time to enjoy the rest of the programme! But letโs not forget two more awards: Best SPC and PC Member Awards for our own @iadh and @debforit resp.
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Now time for @ir_glasgow 's @DanielTian97 to present his impeccable QPP work "Am I on the Right Track?" at the IR-RAG Workshop #SIGIR2025 (work w/t @JinyuanF, @debforit, @mengzaiqiao and @craig_macdonald)
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#SIGIR2025 Perspectives time with @krisztianbalog and "Rankers, Judges, and Assistants: Towards Understanding the Interplay of LLMs in Information Retrieval Evaluation"
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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. https://t.co/jzG2PFMc89
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 ๐๐#sigir2025 Cc @GlasgowCS @UofGlasgow @ACMSIGIR
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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 ๐๐#sigir2025 Cc @GlasgowCS @UofGlasgow @ACMSIGIR
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Starting Day 4 of #SIGIR2025 with the first iteration of "Low Resource Environments" and Chichewa IR.
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While some of us are busy live-tweeting, many of our brilliant students and staff are actually doing the hard workโpresenting awesome demos and posters in a busy #SIGIR2025. Go check them out!
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How does retrieval impact on Agentic RAG? Let's see what predicted intermediate retrieval quality can tell us! Our IR-RAG@SIGIR'25 paper is on Arxiv: https://t.co/FPBEFQbuu5.
#SIGIR2025 cc/ @JinyuanF @debforit
@mengzaiqiao @craig_macdonald
arxiv.org
Agentic Retrieval-Augmented Generation (RAG) is a new paradigm where the reasoning model decides when to invoke a retriever (as a "tool") when answering a question. This paradigm, exemplified by...
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Now in the #SIGIR2025 short paper session, @andreas_chari is presenting โLost in Transliteration: Bridging the Script Gap in Neural IRโ
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Am I on the Right Track? What Can Predicted Query Performance Tell Us about the Search Behaviour of Agentic RAG @DanielTian97 et al. examine how query performance prediction can provide insights into the search behavior of agentic RAG systems. ๐ https://t.co/G2SncsKT4L
arxiv.org
Agentic Retrieval-Augmented Generation (RAG) is a new paradigm where the reasoning model decides when to invoke a retriever (as a "tool") when answering a question. This paradigm, exemplified by...
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Now itโs @MrParryParry presenting the reproducibility efforts of a large team of researchers in relation to the shelf life of test collections #sigir2025
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Starting @ir_glasgow's #SIGIR2025 Day 2 talks with another illuminating recsys work of @asash with @craig_macdonald & @ntonellotto.
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Starting #SIGIR2025 with @macavaney and a tutorial on "Efficient In-Memory Inverted Indexes: Theory and Practice" @ir_glasgow
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