Wrong Code, Right Data Budget
TL;DR for operators If verified circuit-training data are scarce, exhaustive validation of every generated design may not be the best use of the next unit of data-engineering budget. In one experiment, a curated 22-circuit synthetic corpus reached 48.49% F1-Micro and 42.82% F1-Macro with a frozen circuit encoder, outperforming the original 22 verified circuits on both metrics and a 110-circuit raw generated corpus on F1-Micro. ...