Author

Debasis Ganguly

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#artificial intelligence Preprint Sep 2026

One Size Does Not Fit All! Dynamic Retriever and Generator Selection for RAG

This work systematically analyze how retriever and generator complexity interacts across factoid and multi-hop question answering (QA), including bridge and composition reasoning tasks, and introduces DRAG, a query-adaptive framework for selecting retriever-generator configurations.

Neeraj Anand, Payel Santra, Partha Basuchowdhuri et al. · 0 citations

Book Open access Jul 2026

APR: Adaptive Personalised Reranking For Conversational Search

Adaptive Personalised Reranking (APR) is proposed, a framework that routes queries based on intent that uses efficient similarity-based reranking for simple queries and dynamically generates tailored instructions to guide an instruction-following reranker for constraint-heavy contexts.

Shen Dong, Iadh Ounis, Debasis Ganguly · Annual International ACM SIG... · 0 citations