Tencent AI Lab Innovates with a Parallel Thinking Framework, Unlocking New Reasoning Methods for Large Models!

With the continuous advancement of AI technology, how to enable large models to possess 'parallel thinking' capabilities has become a hot topic among researchers. Recently, the Tencent AI Lab, in collaboration with research teams from multiple universities, introduced a new reinforcement learning (RL) framework called Parallel-R1, aimed at teaching large models how to explore multiple reasoning paths simultaneously. This innovative framework opens up new perspectives for tackling complex mathematical reasoning tasks. Traditional methods often rely on supervised fine-tuning (SFT), a method that not only requires high-quality data