Unverified50% confidenceBenchmarkExact time
Under unconstrained conditions, the Functionalizer reduces the number of vocabulary slots required to achieve full corpus coverage by up to 16%.
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50%
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Long-term
Relevance
9/16/2026
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Unverified基于语义图的表示相比文本代码可以减少约30%-60%的token消耗68% similarUnverifiedThe Functionalizer exhibits a domain-dependent trade-off in sequence length: it achieves compression on indentation-heavy code sequences but actually increases sequence length for natural language prose.65% similarUnverified实验数据显示,语法约束解码使小型语言模型生成Bash代码的语法正确率大幅提高,引号不匹配和结构不完整等错误几乎被完全消除65% similarUnverifiedParitok 采用无损压缩,即在不丢失语义信息的前提下减少 Token 数量64% similarVerifiedLarge models process text using Token (word element) as the minimum processing unit, with tokenizers handling the segmentation.63% similar
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