Comment by oofbey
2 months ago
I read a lot of AI papers on arxiv, and it's been a while since I read one where the first line of the abstract had me scoffing and done.
> We introduce the FIRST method for translating text embeddings from one vector space to another without any paired data
(emphasis mine)
Nope. I'm not gonna go a literature search for you right now and find the references, but this is certainly not the first attempt to do unsupervised alignment of embeddings, text or otherwise. People were doing this back in ~2016.
There has been plenty of work on alignment of embeddings, a lot of it cited in the paper. This paper solves the problem of translation, where (unlike in word alignment) there isn't already a set of candidate vectors in the target embedding space. It's generation, not matching.