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Kaijie Zheng

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#natural language process... May 2026

DySem: Uncovering Dynamic Semantic Components of Large Language Models for Calculating Semantic Textual Similarity

DySem is proposed, a novel training-free framework that investigates more semantic-related internal components of LLMs via multilingual consensus, and shifts away from static representation spaces in favor of dynamic, sample-specific semantic dimensions by constructing text-dependent joint semantic set and computes sim...

Kaijie Zheng, Wei-Qin Wang, Yi-Le Wang et al. · 0 citations

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