Unverified50% confidenceSolutionExact time
在LLM层面微量随机因子对应调高采样温度（Temperature）或Top-P参数，工程做法是检测到轨迹重复时将Temperature从默认值（如0.2）动态提升至0.7~1.0
1
Sources
50%
Confidence
Long-term
Relevance
7/20/2026
First Seen
Sources
Related Claims
Unverified动态温度调节策略：正常推理阶段Temperature维持在0.1~0.3，检测到轨迹重复时提升至0.7~1.0，Top-P从0.9提升至0.9585% similarVerifiedThe Temperature parameter controls the randomness of LLM output; for code generation scenarios, a lower temperature value (such as 0.1) is typically recommended to obtain more deterministic and conservative results.82% similarUnverifiedThe Temperature parameter of large language models controls the randomness and creative divergence of the model; when Temperature is 0, the output is completely deterministic.76% similarUnverifiedIn testing scenarios, it is generally necessary to set the Temperature to a low value (e.g., 0.1–0.2) combined with a fixed random seed to ensure output reproducibility.76% similar
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