Unverified50% confidenceFactExact time
The recall rate is calculated as the number of correctly recognized terms divided by the total number of terms actually present.
1
Sources
50%
Confidence
Long-term
Relevance
8/5/2026
First Seen
Sources
Qwen-Audio-3.0-ASR-Flash发布：医疗术语召回率达95%的语音识别新标杆
Related Claims
UnverifiedWhen generating each token, large language models perform probabilistic sampling over all possible next words in the vocabulary, rather than deterministically selecting a unique answer.66% similarUnverifiedThe question classifier in Dify workflows relies on the semantic understanding capabilities of a large model for classification, rather than simple keyword matching.64% similarUnverifiedAutomatic differentiation precisely applies the chain rule by decomposing a program into a sequence of elementary operations, avoiding both the rounding errors of numerical differentiation and the expression swell of symbolic differentiation.63% similarUnverified在向量检索场景中核心逻辑是相对排序而非绝对语义解释，业界通常通过离线评估（如Recall@K、MRR指标）验证检索质量62% similarUnverified模型每词单向量只能捕捉主导词义，多义词处理能力有限，且只能做相似度而非推理或事实记忆61% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/687418API
curl https://kongchang.com/api/v1/knowledge/claims/687418MCP
get_claim(id=687418)