16 citations · 34 across the 5 of their papers we have counts for
9 papers
A Family of Pretrained Transformer Language Models for Russian
Dmitry Zmitrovich, Alexander Abramov, Andrey Kalmykov +10
Transformer language models (LMs) are fundamental to NLP research methodologies and applications in various languages. However, developing such models specifically for the Russian…
Vote'n'Rank: Revision of Benchmarking with Social Choice Theory
Mark Rofin, Vladislav Mikhailov, Mikhail Florinskiy +5
The development of state-of-the-art systems in different applied areas of machine learning (ML) is driven by benchmarks, which have shaped the paradigm of evaluating generalisation…
Findings of the The RuATD Shared Task 2022 on Artificial Text Detection in Russian
Tatiana Shamardina, Vladislav Mikhailov, Daniil Chernianskii +7
We present the shared task on artificial text detection in Russian, which is organized as a part of the Dialogue Evaluation initiative, held in 2022. The shared task dataset includ…
RuCLIP -- new models and experiments: a technical report
Alex Shonenkov, Andrey Kuznetsov, Denis Dimitrov +10
In the report we propose six new implementations of ruCLIP model trained on our 240M pairs. The accuracy results are compared with original CLIP model with Ru-En translation (OPUS-…
MOROCCO: Model Resource Comparison Framework
Valentin Malykh, Alexander Kukushkin, Ekaterina Artemova +3
The new generation of pre-trained NLP models push the SOTA to the new limits, but at the cost of computational resources, to the point that their use in real production environment…
Domain-Transferable Method for Named Entity Recognition Task
Vladislav Mikhailov, Tatiana Shavrina
Named Entity Recognition (NER) is a fundamental task in the fields of natural language processing and information extraction. NER has been widely used as a standalone tool or an es…