Nowadays, Transformer language models (LMs) represent a fundamental comp...
Linguistic analysis of language models is one of the ways to explain and...
Recent advances in zero-shot and few-shot learning have shown promise fo...
The development of state-of-the-art systems in different applied areas o...
The probing methodology allows one to obtain a partial representation of...
We present the shared task on artificial text detection in Russian, whic...
The General QA field has been developing the methodology referencing the...
Recent studies report that autoregressive language models can successful...
In the last year, new neural architectures and multilingual pre-trained
...
The new generation of pre-trained NLP models push the SOTA to the new li...
Named Entity Recognition (NER) is a fundamental task in the fields of na...
In this paper, we introduce an advanced Russian general language
underst...
DaNetQA, a new question-answering corpus, follows (Clark et. al, 2019)
d...
This paper provides a comprehensive overview of the gapping dataset for
...