Debasis Ganguly

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.

Shifting from query-time scoring to a relevance posterior framework can enhance retrieval effectiveness while reducing computational demands.