HyperStyler: Low-resource Authorship Style Transfer via Context-aware Style Navigation and Hypernetworks
This work proposes HyperStyler, a novel architecture that decouples LAST into style selection and style realization, and demonstrates that HyperStyler consistently outperforms prior methods including LLM-based approaches and generalizes robustly across domains.
Jongkyung Shin, Minguk Jeon, Chanwoo Park et al.
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