Verified70% confidenceFactExact time
GLM-5.2 adopts Reinforcement Learning from Execution Feedback (RLEF), using whether code passes tests as the reward signal to optimize the ability to generate executable code.
4
Sources
70%
Confidence
Long-term
Relevance
7/6/2026
First Seen
Sources
Meituan CatPaw Hands-On Review: Is the Free GLM-5.2 Coding Tool Worth It?
bilibili鲲鹏Talk7/2/2026
Related Claims
UnverifiedRLEF将奖励信号来源从人类判断转向代码执行结果,如测试用例通过率和数学答案正确性等可自动验证的确定性信号,绕开人工标注的扩展性瓶颈81% similarUnverified代码生成是RL训练中最理想的应用场景之一,因为其奖励信号具有可验证性81% similarVerifiedRLVR directly uses programmatic verification of answer correctness as the reward signal, requiring no human annotation, and is primarily applied to tasks with objective answers such as mathematics and coding.77% similarUnverifiedRLHF在代码场景中需要人类标注者对代码的可运行性、安全性和符合最佳实践程度进行专项评分73% similar
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