Unverified50% confidenceFactExact time
Logit-lens projects the hidden states of each layer into the vocabulary logit space to observe what the model would output if forced to decode at that layer.
1
Sources
50%
Confidence
Long-term
Relevance
9/25/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedOutlines pre-compiles constraints into an FSM before inference and performs an offline mapping between the tokenizer vocabulary and each state of the FSM; during inference, hard constraints are enforced by setting the logits of illegal tokens to negative infinity (logits masking).72% similarUnverifiedGBNF 通过在每个 Token 生成步骤对 logits 进行掩码过滤，强制模型只能生成符合预定义语法规则的 Token 序列67% similarUnverifiedConstrained decoding allows only tokens conforming to grammar rules to be sampled by setting the logits of illegal tokens to negative infinity at each decoding step; FSM is applicable to regular languages, while CFG can handle nested structures such as JSON and XML.65% similarUnverifiedLogit-lens analysis confirms that script commitment consistently occurs in the very last layers of the LLM.64% similarUnverifiedRNN和LSTM以串行方式处理文本，逐个Token读入并将前文信息压缩成固定大小的隐藏状态向量传递63% similar
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