2025
Alleviating Performance Degradation Caused by Out-of-Distribution Issues in Embedding-Based Retrieval
EMNLP 2025
In Embedding Based Retrieval (EBR), Approximate Nearest Neighbor (ANN) algorithms are widely adopted for efficient large-scale search. However, recent studies reveal a query out-of-distribution (OOD) issue, where query and base embeddings follow mismatched distributions, significantly degrading ANN