[D] What's more impressive in a ML portfolio: implementing a paper or creating a good project?

Hey guys, what do hiring managers in companies would prefer more from your experience, having a great implementation of papers or great practical projects? I know both have great benefits, pros and cons etc. But, what do managers here on reddit like to see when going through repos? Would one of these be better than the other when going through the skills of a candidate?

benefits companies cons etc experience good hey hiring implementation machinelearning managers paper papers portfolio practical project projects pros reddit