arxivcs.CLcs.AI2026-06-30
When Reranking Hurts: Uncertainty-Based Gating for Few-Shot Reranking
Orian Dabod, Amir DN Cohen, Gabriel Stanovsky
Few-shot selection typically assumes that reranking retrieved examples always improves performance. We challenge this view by identifying that the expensive reranking step can in fact degrade performance. Instead, we propose \emph{Training-Free Gated Reranking}, which decides whe…