Unverified50% confidenceFactExact time
文法约束采样在模型生成每个token前将非法token的logit值设为负无穷，使其softmax后概率归零，从而保证输出100%符合语法
1
Sources
50%
Confidence
Long-term
Relevance
7/16/2026
First Seen
Sources
Related Claims
Unverified困惑度是测试集上每个token平均负对数似然的指数，值越低代表模型对语料的预测越准确63% similarUnverifiedOpenAI's chart shows that at lower test-time compute levels, the model's success rate on this problem is close to zero, with occasional success only under extremely long reasoning chains.62% similarUnverifiedIn logistic regression, a predicted probability greater than 0.5 is classified as a positive example and less than 0.5 as a negative example, but this 0.5 threshold can be adjusted according to business requirements.60% similarUnverified马尔可夫头仅需记录前一个token状态即可推导下一token修正概率，参数量通常不超过原模型的0.1%58% similarUnverified当所有模型在某评测上都能拿90分时该评测就应退场，即基准饱和现象58% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/536165API
curl https://kongchang.com/api/v1/knowledge/claims/536165MCP
get_claim(id=536165)