Exploring Cross-lingual Textual Style Transfer with Large Multilingual Language Models
원문 초록
Detoxification is a task of generating text in polite style while preserving meaning and fluency of the original toxic text. Existing detoxification methods are designed to work in one exact language. This work investigates multilingual and cross-lingual detoxification and the behavior of large multilingual models like in this setting. Unlike previous works we aim to make large language models able to perform detoxification without direct fine-tuning in given language. Experiments show that multilingual models are capable of performing multilingual style transfer. However, models are not able to perform cross-lingual detoxification and direct fine-tuning on exact language is inevitable.
함께 살펴볼 논문
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Pseudo Multi-Source Domain Generalization: Bridging the Gap Between Single and Multi-Source Domain Generalization
CLIPGaussian: Universal and Multimodal Style Transfer Based on Gaussian Splatting
Graph Style Transfer for Counterfactual Explainability
Style Transfer with Diffusion Models for Synthetic-to-Real Domain Adaptation
토론
이 논문과 연결된 포럼 글이 아직 없습니다.