Author

Debasis Ganguly

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Preprint Sep 2026

Predicting Partial Answer Quality and Utility in Agentic Retrieval-Augmented Generation

Agentic Retrieval-Augmented Generation (RAG) has become a promising paradigm for multi-hop question answering, where a reasoning model iteratively issues queries to a retriever and incorporates newly retrieved context into subsequent reasoning steps. While this iterative process can improve final answer quality, curren...

Fang-Zheng Tian, Debasis Ganguly, Craig Macdonald · 0 citations

Preprint Aug 2026

Robustness of IR Models to Collection Growth

Information Retrieval (IR) systems seek to identify relevant documents within a collection. In practical applications, collections are dynamic, with documents frequently added. We argue that ideally, a retriever's effectiveness should not decrease when non-relevant documents are added to a collection. This study formal...

Emmanouil Georgios Lionis, Sean MacAvaney, Debasis Ganguly · 0 citations