#document augmentation

try —

1 paper match

cs.IR2026

With Argus Eyes: Assessing Retrieval Gaps via Uncertainty Scoring to Detect and Remedy Retrieval Blind Spots

Zeinab Sadat Taghavi, Ali Modarressi, Hinrich Schutze +1

The paper identifies blind spots in neural retrievers used for retrieval‑augmented generation, where relevant entities are missed due to low embedding similarity, and proposes an u…

#retrieval-augmented generation#neural retrievers#blind spots#uncertainty scoring