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HyperStyler: Low-resource Authorship Style Transfer via Context-aware Style Navigation and Hypernetworks

Paper recorded by Signals 4 on 2026-09-02 in cs.CL. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-02 on arXiv · recorded by Signals 4 on 2026-09-03

Category: cs.CL · 自然语言处理 · first seen 2026-09-03

Abstract

Low-resource authorship style transfer (LAST) aims to rewrite text into the style of an arbitrary target author using only a few reference examples while preserving the original meaning. Existing methods often struggle to achieve both high style fidelity and semantic preservation because they compress diverse references into a single static author embedding, which averages out context-dependent st

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#131 most recent of 186 cs.CL papers we have recorded · ↑ newer: ShallowStream: Index Shallow then Answer Deep for Streaming Video Unde · ↓ older: Incremental Pooled LLM Evaluation for Cost-Effective Retrieval Model S
Cite this page: HyperStyler: Low-resource Authorship Style Transfer via Context-aware Style Navigation and Hypernetworks: the #131 most recent of 186 cs.CL papers we have recorded (as of 2026-09-02). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/hyperstyler-low-resource-authorship-style-transfer-via-context-aware-style-navig.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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