Matryoshka-Adaptor: Unsupervised and Supervised Tuning for Smaller Embedding Dimensions

Jinsung Yoon, Raj Sinha, Sercan O Arik +1

Embeddings from Large Language Models (LLMs) have emerged as critical components in various applications, particularly for information retrieval. While high-dimensional embeddings…