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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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10/24/2022
Universal and Independent: Multilingual Probing Framework for Exhaustive Model Interpretation and Evaluation
Linguistic analysis of language models is one of the ways to explain and...
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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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10/11/2022
Vote'n'Rank: Revision of Benchmarking with Social Choice Theory
The development of state-of-the-art systems in different applied areas o...
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07/01/2022
Is neural language acquisition similar to natural? A chronological probing study
The probing methodology allows one to obtain a partial representation of...
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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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04/17/2022
WikiOmnia: generative QA corpus on the whole Russian Wikipedia
The General QA field has been developing the methodology referencing the...
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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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02/15/2022
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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04/29/2021
MOROCCO: Model Resource Comparison Framework
The new generation of pre-trained NLP models push the SOTA to the new li...
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11/24/2020
Domain-Transferable Method for Named Entity Recognition Task
Named Entity Recognition (NER) is a fundamental task in the fields of na...
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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
DaNetQA: a yes/no Question Answering Dataset for the Russian Language
DaNetQA, a new question-answering corpus, follows (Clark et. al, 2019) d...
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06/10/2019
