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09/19/2023
A Family of Pretrained Transformer Language Models for Russian
Nowadays, Transformer language models (LMs) represent a fundamental comp...
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08/18/2023
A Methodology for Generative Spelling Correction via Natural Spelling Errors Emulation across Multiple Domains and Languages
Modern large language models demonstrate impressive capabilities in text...
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10/23/2022
TAPE: Assessing Few-shot Russian Language Understanding
Recent advances in zero-shot and few-shot learning have shown promise fo...
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06/03/2022
Findings of the The RuATD Shared Task 2022 on Artificial Text Detection in Russian
We present the shared task on artificial text detection in Russian, whic...
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04/15/2022
mGPT: Few-Shot Learners Go Multilingual
Recent studies report that autoregressive language models can successful...
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02/22/2022
RuCLIP – new models and experiments: a technical report
In the report we propose six new implementations of ruCLIP model trained...
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02/15/2022
Russian SuperGLUE 1.1: Revising the Lessons not Learned by Russian NLP models
In the last year, new neural architectures and multilingual pre-trained ...
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10/29/2020
RussianSuperGLUE: A Russian Language Understanding Evaluation Benchmark
In this paper, we introduce an advanced Russian general language underst...
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10/06/2020
