clipo-contrastive-policy-optimization

Augment verifiable reward RL (RLVR) with contrastive learning to generate dense auxiliary rewards. Enforce proximity among correct reasoning trajectories in embedding space while suppressing errors, amplifying invariant reasoning patterns.

Independent GitHub snapshot · Automated classification · Original documentation governs