#Direct Preference Optimization

Meta and NYU developed a semi-online reinforcement learning method that balances offline and online training to enhance large language model alignment, boosting performance in both instruction-based and mathematical tasks.

Ant Group introduces SEM, a reinforcement learning method that teaches large language models to decide when to use external search tools, enhancing reasoning accuracy and reducing unnecessary searches.