Unverified50% confidenceFactExact time
In this context, gold token refers to the token corresponding to the standard answer; at each generation step the model computes a probability distribution over the entire vocabulary, i.e., the logits distribution, and the gold token's ranking is the position of the correct token in that distribution.
1
Sources
50%
Confidence
Long-term
Relevance
10/15/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedThe core mechanism of large model inference is the continuous prediction of the probability of the next word, converting raw scores into a probability distribution summing to 1 via the Softmax function.71% similarVerifiedLLMs generate output token by token in an autoregressive manner, with each word's selection based on probability sampling from the current context.70% similarUnverifiedThe output of logistic regression is essentially a probability value, and the Naive Bayes classifier is built directly on Bayes' theorem.69% similarVerifiedWhen generating each token, large language models perform probabilistic sampling over all possible next words in the vocabulary, rather than deterministically selecting a unique answer.68% similarUnverifiedDiffusion models natively support parallel prediction across multiple positions, enabling the probability distributions of all answer slots to be obtained at once.68% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1038564API
curl https://kongchang.com/api/v1/knowledge/claims/1038564MCP
get_claim(id=1038564)