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:  Interviewing 13 embedding users across disciplines , we find that current tools poorly support a central concern: comparing different embeddings when developing fairer, more robust models .