195 citations · 216 across the 11 of their papers we have counts for
12 papers
FuxiTranyu: A Multilingual Large Language Model Trained with Balanced Data
Haoran Sun, Renren Jin, Shaoyang Xu +10
Large language models (LLMs) have demonstrated prowess in a wide range of tasks. However, many LLMs exhibit significant performance discrepancies between high- and low-resource lan…
Studying the role of named entities for content preservation in text style transfer
Nikolay Babakov, David Dale, Varvara Logacheva +2
Text style transfer techniques are gaining popularity in Natural Language Processing, finding various applications such as text detoxification, sentiment, or formality transfer. Ho…
Beyond Plain Toxic: Detection of Inappropriate Statements on Flammable Topics for the Russian Language
Nikolay Babakov, Varvara Logacheva, Alexander Panchenko
Toxicity on the Internet, such as hate speech, offenses towards particular users or groups of people, or the use of obscene words, is an acknowledged problem. However, there also e…
Taxonomy Enrichment with Text and Graph Vector Representations
Irina Nikishina, Mikhail Tikhomirov, Varvara Logacheva +3
Knowledge graphs such as DBpedia, Freebase or Wikidata always contain a taxonomic backbone that allows the arrangement and structuring of various concepts in accordance with the hy…
Text Detoxification using Large Pre-trained Neural Models
David Dale, Anton Voronov, Daryna Dementieva +4
We present two novel unsupervised methods for eliminating toxicity in text. Our first method combines two recent ideas: (1) guidance of the generation process with small style-cond…
Methods for Detoxification of Texts for the Russian Language
Daryna Dementieva, Daniil Moskovskiy, Varvara Logacheva +4
We introduce the first study of automatic detoxification of Russian texts to combat offensive language. Such a kind of textual style transfer can be used, for instance, for process…