Research3h ago
Apple Unveils PROOF-Gen For Better Tool Distillation
Teacher models fail 57% of trials on the τ 2-bench, wasting expensive compute on discarded data. Apple introduces PROOF-Gen to optimize these trajectories through targeted data refinement rather than simple filtering. This method captures near-misses to improve student model performance. Practitioners can now reduce distillation costs while increasing agent reliability.