Debasis Ganguly
@debforit
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Lecturer/Asst. Professor at the School of Computing, University of Glasgow (@UofGlasgow/@GlasgowCS/@IDAglasgow/@ir_glasgow)
Glasgow, Scotland
Joined February 2010
Two papers accepted for the short paper track of #cikm2025. T-Retrievability: A Topic-Focused Approach to Fair Document Exposure in Information Retrieval w/ Xuejun and @mengzaiqiao .HF-RAG: Hierarchical Fusion-based RAG with Multiple Sources and Rankers w/ @PayelSantra17 et al.
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Glad to discover that our #ECIR2025 best paper award winning work (w/ Manish Chandra and @iadh) has been taken up as a teaching material in an online Youtube course on LLMs. @ir_glasgow .
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After attending the panel at the Explainability for IR workshop, now attending my student's talk at the IR4RAG workshop. This paper is a first step towards building an adaptive multi-agent RAG pipeline. @craig_macdonald @DanielTian97
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Really proud to work in close collaboration with this super star colleague of mine. .
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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First paper - to the best of our knowledge - that links QPP to Agentic RAG.
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: #SIGIR2025 cc/ @JinyuanF @debforit .@mengzaiqiao @craig_macdonald.
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The Road Not Taken. Two roads — hard negatives and distillation — diverged in a yellow wood. We looked down the hard negatives one as far as we could. Then took the other — the distillation, as just as fair,.And empirically now shown to be the better claim….
🚨 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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"All you need are Examples": Exciting results on multi-objective ranking w/o supervised learning by my students @MrParryParry and @nilanjansb.
🚨 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 @nilanjansb from IIT Kharagpur and @debforit. 🧵 Below!
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Glad to share that our paper "The Curious Case of Contexts in Retrieval-Augmented Generation with a Combination of Labelled and Unlabelled Data" will now appear in @WIREs_Reviews journal. Big congratulations to my student @PayelSantra17 et al. Arxiv link and code coming soon.
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RT @ir_glasgow: Our #ecir2025 participation is wrapping up. We had a nice time in Lucca. Many thanks to the organisers for hosting us; spe….
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Happy to share some of the ongoing work of @DanielTian97 w/ @craig_macdonald as a vision for the potential of applying #qpp for adaptive #rag. For those who missed the talk, here're the slides: #ecir2025 @ir_glasgow.
@debforit is giving keynote talk about QPP’s application in LLM era at the QPP++ workshop #ecir2025 @ir_glasgow
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Delighted to deliver the keynote at the QPP++ workshop @ecir2025. Shared my view on the role of QPP models for Adaptive IR and RAG systems - building on our last year's SIGIR perspective w/ @MrParryParry & Manish Chandra. Slides:
Back to back speakers from Glasgow in the QPP++ workshop at #ECIR2025, with lots of other interesting talks coming up. @DanielTian97 is presenting his work (w/ @craig_macdonald & @debforit) that revisits query variants for QPP. Great stuff!. @ir_glasgow @glasgowcs #ECIR2025
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Slides: Keep an eye on more exciting work down the line w/.@DanielTian97 and @craig_macdonald #ecir2025.
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RT @craig_macdonald: Manish Chandra is presenting the #ecir2025 best paper award paper: one size doesn’t fit all: predicting the number of….
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RT @ir_glasgow: Congratulations to Manish Chandra @debforit and @iadh for being awarded the Best Paper Award at #ECIR2025 for their work en….
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Glad to share that our paper "In-Context Learning as an Effective Estimator of Functional Correctness of LLM-Generated Code" w/ Susmita Das, Madhusudan Ghosh, Priyanka Swami, and Gul Calikli has been accepted as a short paper in #SIGIR2025. Arxiv and code coming soon.
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Glad to share that "Exploring the Role of Diversity in Example Selection for In-Context Learning".w/ @JanakKapuriya, @kaushik_manit, and @sbhatia_ .has been accepted as a short paper in #SIGIR2025. Arxiv and git link coming soon.
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RT @andreas_chari: More incredible @ir_glasgow contributions today at @ecir2025 with @DanielTian97 now presenting his work with @debforit a….
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RT @craig_macdonald: Now @danieltian97 is presenting our work on relevance propagated from retriever to generator in RAG w/ @debforit @ir_g….
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