Depending on the application case and benchmark, being 0.1 to 0.3 % better than other SOTA approaches can still be statistically highly significant. Even though such a number does notmlook like much, it can mean a large leap forward in practise.
Anyway, I wouod add a machine learning paper type that was written by an LLM and nobody cared to call that out in the peer review.
Depending on the application case and benchmark, being 0.1 to 0.3 % better than other SOTA approaches can still be statistically highly significant. Even though such a number does notmlook like much, it can mean a large leap forward in practise.
Anyway, I wouod add a machine learning paper type that was written by an LLM and nobody cared to call that out in the peer review.