Unverified50% confidenceFactExact time
代码模型采用HumanEval、MBPP等可执行基准进行评估，通用语言模型则依赖困惑度等统计指标
1
Sources
50%
Confidence
Long-term
Relevance
7/5/2026
First Seen
Sources
Related Claims
UnverifiedLarge language models can approximately estimate decision confidence by analyzing token probability distributions, explicitly outputting self-evaluation scores, or observing answer consistency across multiple samplings.70% similarVerifiedWhen input information is incomplete, large language models complete it based on the most common patterns in their training data, which is statistically called maximum likelihood estimation.69% similarUnverifiedThe output of large language models is inherently probabilistic, and parameters such as sampling temperature and Top-P mean the model may generate different content each time, posing a challenge for software testing.68% similarUnverifiedMCP+大模型的组合实现了'零代码绑定'的自然语言驱动测试，大模型理解自然语言意图后自主决定调用工具、执行顺序和异常处理68% similarUnverifiedThe automated classifier is essentially an LLM-based automated evaluation system that uses another specially fine-tuned language model to analyze the target model's outputs.67% similar
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