Yes absolutely the same advantages -- in fact the maintainer of ST is on the paper team, and it's been a key goal from day one to make this work well.
what’s ST stand for here? I googled and only got results for BERT STS (semantic text similarity)
Sentence Transformers (https://sbert.net/), the most used library for embedding models (similarity, retrieval.)
Do you expect the ModernBERT STs to carry the same advantages over ModernBERT that BERT STs had over the original BERT? Or would you expect caveats based on ModernBERT's updated architecture and capabilities?