Scaling Reasoning Tokens via RL and Parallel Thinking: Evidence From Competitive Programming

Qianfan Zhang, Tianyu Guo, Xuandi Ren +4

We study how to scale reasoning token budgets for competitive programming through two complementary approaches: training-time reinforcement learning (RL) and test-time parallel thi…