Unverified50% confidenceFactExact time
BERT分类任务中通常取[CLS]标记对应的隐藏状态向量（维度一般为768或1024）作为句子整体表示，再接一个线性分类头映射到目标类别数
1
Sources
50%
Confidence
Long-term
Relevance
7/13/2026
First Seen
Sources
BERT新增分类类别：增量微调的三种策略与灾难性遗忘解法
Related Claims
UnverifiedBERT分类任务中[CLS]标记的最终隐藏状态向量维度为768维（BERT-base）或1024维（BERT-large），被视为整个句子的语义表示84% similarUnverified传统推测解码算法无论场景难易都固定草拟5-6个字符，导致算力浪费56% similarUnverifiedConstrained Decoding computes the set of valid tokens at each token step of autoregressive generation based on a finite state machine or context-free grammar and renormalizes the probabilities, mathematically guaranteeing that the output conforms to the target schema.56% similarUnverified深度学习时代token级分类任务通常采用BERT或其阿拉伯语变体AraBERT作为编码器，接线性分类头预测标签56% similar
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