#Monte Carlo Tree Search

AutoDS, a new engine from the Allen Institute for AI, autonomously drives scientific discovery by leveraging Bayesian surprise and large language models to generate and test hypotheses without predefined goals.

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.