Papers with cross-lingual detoxification

1 papers
Exploring Cross-lingual Text Detoxification with Large Multilingual Language Models. (2022.acl-srw)

Copied to clipboard

Challenge: Existing methods of textual style transfer are monolingual i.e. designed to work in one exact language.
Approach: They propose to make large multilingual models capable of performing multilingual style transfer without direct fine-tuning in a given language.
Outcome: The proposed model can generate text in a given language without fine-tuning and is able to perform cross-lingual detoxification without direct fine- tuning.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations