Unverified60% confidenceFactExact time
Math problems have standard answers and code can be automatically judged by test cases, which provides clear, cheap, and massively scalable reward signals for reinforcement learning.
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60%
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Long-term
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9/12/2026
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UnverifiedCode correctness can obtain a deterministic 0/1 signal through unit testing, and this high-quality, low-cost reward signal makes reinforcement learning far more efficient in code scenarios than in natural language scenarios.79% similarUnverifiedIn mathematics and computer science, large volumes of training samples can be automatically generated programmatically, and models can even generate their own problems and then self-verify.77% similarUnverified代码、SQL、数学计算等有标准答案的场景应使用代码断言评测，以单元测试是否全量通过作为成功判定，客观性最强77% similarUnverified梁文锋判断coding agent最先成熟，因为代码执行结果可精确验证，为强化学习提供天然奖励信号75% similar
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