2025
Investigating Multi-layer Representations for Dense Passage Retrieval
EMNLP 2025
Dense retrieval models usually adopt vectors from the last hidden layer of the document encoder to represent a document, which is in contrast to the fact that representations in different layers of a pre-trained language model usually contain different kinds of linguistic knowledge, and behave diffe