Self-Verified Distillation: Your Language Model Is Secretly Its Own Synthetic Data Pipeline

In three linesQwen3 improves reasoning via Self-Verified Distillation, a post-training algorithm requiring no external data. The model generates solutions, filters them through self-verification (cycle-consistency, factuality, correctness), then trains on self-curated data. Gains: +16.7 points math (AIME26/HMMT), +11.1 science (GPQA), +8.3 coding for Qwen3-4B.

Summary generated by Claude — human-verified