Hybrid Reinforcement: When Reward Is Sparse, It's Better to Be Dense

Leitian Tao, Ilia Kulikov, Swarnadeep Saha +5

Post-training for reasoning of large language models (LLMs) increasingly relies on verifiable rewards: deterministic checkers that provide 0-1 correctness signals. While reliable,…