Dimension Importance Estimation (DIME) is a framework designed to enhance dense information retrieval by identifying and pruning irrelevant dimensions from query embeddings. The article discusses various DIME approaches, including Magnitude DIME and Pseudo-Relevance Feedback DIME, which utilize different methods to assess the importance of dimensions and improve retrieval accuracy without requiring retraining or reindexing.