Unverified50% confidenceFactExact time
VICE fuses the results of the two branches to produce a final similarity score, while also giving a textual reasoning explanation.
1
Sources
50%
Confidence
Long-term
Relevance
10/20/2026
First Seen
Sources
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Related Claims
UnverifiedThe embedding similarity method encodes documents and concept descriptions as high-dimensional vectors and assesses semantic closeness via metrics such as cosine similarity, relying on pretrained sentence encoders such as Sentence-BERT and text-embedding-ada-002.68% similarVerified余弦相似度是衡量两个向量方向接近程度的指标，值域在-1到1之间，越接近1表示语义越相似64% similarUnverifiedSynonym normalization can be achieved by using sentence embedding models such as Sentence-BERT to map words into dense vectors, and then computing semantic proximity via cosine similarity.64% similarUnverifiedRetake识别依赖语义相似度比对，当AI检测到同一语义内容出现多次表述时，保留语义最完整的最后一次64% similar
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