on-policy-reasoning-compression

Compress verbose reasoning by conditioning the same model on a conciseness instruction to create a teacher. Minimize KL divergence between student outputs and concise teacher without ground truth, enabling implicit reward learning that improves accuracy while reducing tokens.

Independent GitHub snapshot · Automated classification · Original documentation governs