#logic reasoning

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.

GURU introduces a multi-domain reinforcement learning dataset and models that significantly improve reasoning abilities of large language models across six diverse domains, outperforming previous open models.

Google DeepMind introduces QuestBench, a benchmark designed to evaluate how well large language models identify missing information in complex reasoning tasks and generate necessary clarifying questions.