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Found 6 papers, 5 papers with code
ParaDetox: Detoxification with Parallel Data
To the best of our knowledge, these are the first parallel datasets for this task. We describe our pipeline in detail to make it fast to set up for a new language or domain, thus contributing to faster and easier development of new parallel resources. We train several detoxification models on the collected data and compare them with several baselines and state-of-the-art unsupervised approaches.
Exploring Cross-lingual Text Detoxification with Large Multilingual Language Models.
This work investigates multilingual and cross-lingual detoxification and the behavior of large multilingual models in this setting.
MERA: A Comprehensive LLM Evaluation in Russian
To address these issues, we introduce an open Multimodal Evaluation of Russian-language Architectures (MERA), a new instruction benchmark for evaluating foundation models oriented towards the Russian language.
Exploring Methods for Cross-lingual Text Style Transfer: The Case of Text Detoxification
Text detoxification is the task of transferring the style of text from toxic to neutral.
Exploring Cross-lingual Textual Style Transfer with Large Multilingual Language Models
However, models are not able to perform cross-lingual detoxification and direct fine-tuning on exact language is inevitable.
Methods for Detoxification of Texts for the Russian Language
We introduce the first study of automatic detoxification of Russian texts to combat offensive language.
