Debasis Ganguly

I am pleased to share that our journal article, "RAQG-QPP: Query Performance Prediction with Retrieved Query Variants and Retrieval Augmented Query Generation," has been accepted by ACM Transactions on Information Systems (TOIS), a joint work with @debforit and @craig_macdonald.

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

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: arxiv.org/abs/2507.10411. #SIGIR2025 cc/ @JinyuanF @debforit @mengzaiqiao @craig_macdonald

🚨 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

🚨 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!

@debforit is giving keynote talk about QPP’s application in LLM era at the QPP++ workshop #ecir2025 @ir_glasgow