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Embedding Consistency Regulation for Persistent Semantic Routing in Compact Language Models

Yuan, Chung-Wei Victor
arXiv (All) · Papers
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artificial-intelligencecomputation-and-language
Language models are increasingly deployed under tight memory and compute constraints, where semantic routes (e.g., language, tone, or intent) may be assigned before decoding. However, these routes may not remain reflected in generated responses. We study this phenomenon as \emph{persistent semantic
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