Unverified50% confidenceFactExact time
Instead of generating text, Mica directly reads the probability values of answer-label tokens, uses them to rank candidate commands, and selects the optimal one, with the model outputting zero tokens.
1
Sources
50%
Confidence
Long-term
Relevance
9/26/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedSynthID-Text使用密钥和前文token序列生成伪随机分数，叠加到模型输出的logits上以微调token被选中概率69% similarUnverifiedIn a single one-step denoising step, the model directly reads out the probability distribution for each answer slot rather than sampling token by token.67% 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.64% similarUnverified投机解码通过小型草稿模型提前生成候选token序列，可在保持输出质量前提下将LLM有效吞吐量提升2-3倍63% similarUnverifiedAdaptiveSpec's progressive marginal rule allows a draft token to be accepted when the ratio of the target model's probability on that draft token to its top-1 token probability exceeds a threshold, even if the two do not exactly match.61% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/951327API
curl https://kongchang.com/api/v1/knowledge/claims/951327MCP
get_claim(id=951327)