Atlas · GenAI 2026
Reinforcement Learning from Verifiable Rewards
Post-training on tasks with automatically checkable answers (math, code) — rewarding correctness instead of human preference; the engine behind reasoning models.
conceptPeak: 2025AlignmentAI consensus: 0/3
Prerequisites
- hardRLHF
RLVR swaps the human-preference reward for an automatic verifier.
Sits in the same preference/RL post-training family.
Recommended reference
Tülu 3: Pushing Frontiers in Open Language Model Post-Training — arXiv 2411.15124