Researchers proposed ConSPO, a new reinforcement learning method that addresses limitations in existing algorithms like GRPO. ConSPO uses length-normalized sequence log-probabilities as rollout scores and contrasts them against negative distractors, leading to improved performance on reasoning benchmarks.