arXiv cs.CL
· Papers
Document Optimization for Black-Box Retrieval via Reinforcement Learning
arXiv:2604.05087v3 Announce Type: replace Abstract: Document expansion is a classical technique for improving retrieval quality, and is attractive since it shifts computation offline, avoiding additional query-time processing. However, when applied to modern retrievers, it has been shown to degrade performance, often i