2 papers
cs.CL2026
Separating Semantic Competition from Context Length in RAG Reading
Vyzantinos Repantis, Ameya Gawde, Harshvardhan Singh +4
Retrieval-augmented generation (RAG) systems can respond incorrectly even when the correct passage was retrieved. The model must still read the retrieved passages and identify whic…
cs.IR2026
The 99% Success Paradox: When Near-Perfect Retrieval Equals Random Selection
Vyzantinos Repantis, Harshvardhan Singh, Tony Joseph +5
For most of the history of information retrieval (IR), search results were designed for human consumers who could scan, filter, and discard irrelevant information on their own. Thi…