#post-training

ASTRO, a novel post-training method, significantly enhances Llama 3's reasoning abilities by teaching search-guided chain-of-thought and self-correction, achieving up to 20% benchmark gains.

Polaris-4B and Polaris-7B introduce a novel reinforcement learning recipe that scales reasoning capabilities efficiently, achieving state-of-the-art results on math benchmarks with smaller models.