26 citations · 30 across the 8 of their papers we have counts for
4 papers · 1 filter
One Size Does Not Fit All! Dynamic Retriever and Generator Selection for RAG
Neeraj Anand, Payel Santra, Partha Basuchowdhuri +2
Retrieval-Augmented Generation (RAG) systems typically employ fixed retriever and generator configurations across queries, despite substantial differences in query complexity and i…
Towards a Relevance Posterior in Neural Information Access
Andrew Parry, Emmanouil Georgios Lionis, Debasis Ganguly +1
Modern information retrieval systems typically operationalise relevance as a query-conditional score computed at inference time. This design choice has become dominant such that al…
Breaking Flat: A Generalised Query Performance Prediction Evaluation Framework
Payel Santra, Partha Basuchowdhuri, Debasis Ganguly
The traditional use-case of query performance prediction (QPP) is to identify which queries perform well and which perform poorly for a given ranking model. A more fine-grained and…
Beyond Correlations: A Downstream Evaluation Framework for Query Performance Prediction
Payel Santra, Partha Basuchowdhuri, Debasis Ganguly
The standard practice of query performance prediction (QPP) evaluation is to measure a set-level correlation between the estimated retrieval qualities and the true ones. However, n…