Before revision:  Through semi-structured interviews with embedding model researchers and practitioners , we find that current tools poorly support a central concern: comparing different embeddings when developing fairer, more robust models .
After revision:  Through semi-structured interviews with embedding model researchers and practitioners , we find comparing embeddings is a key task for deployment or downstream analysis but unfolds in a tedious fashion that poorly supports systematic exploration .