Learn What's Left, Not What's Mastered: Saturation Aware Advantage Reweighting for Multi-Reward Policy Optimization

Benchmark Model Rank Results
mathematical-reasoning-on-aime24Qwen2.5-7B-Instruct with SA-MRPO (3 objectives) (extra data)–Acc: 16.5
mathematical-reasoning-on-math-500Qwen2.5-7B-Instruct with SA-MRPO (3 objectives) (extra data)–Accuracy: 67.7
mathematical-reasoning-on-minerva-mathQwen2.5-7B-Instruct with SA-MRPO (3 objectives) (extra data)–Accuracy: 24.8
mathematical-reasoning-on-olympiadbenchQwen2.5-7B-Instruct with SA-MRPO (3 objectives) (extra data)–Accuracy: 26.1