49 citations · 144 across the 14 of their papers we have counts for
4 papers · 1 filter
Long Input Benchmark for Russian Analysis
Igor Churin, Murat Apishev, Maria Tikhonova +5
Recent advancements in Natural Language Processing (NLP) have fostered the development of Large Language Models (LLMs) that can solve an immense variety of tasks. One of the key as…
The Russian-focused embedders' exploration: ruMTEB benchmark and Russian embedding model design
Artem Snegirev, Maria Tikhonova, Anna Maksimova +2
Embedding models play a crucial role in Natural Language Processing (NLP) by creating text embeddings used in various tasks such as information retrieval and assessing semantic tex…
RuBLiMP: Russian Benchmark of Linguistic Minimal Pairs
Ekaterina Taktasheva, Maxim Bazhukov, Kirill Koncha +3
Minimal pairs are a well-established approach to evaluating the grammatical knowledge of language models. However, existing resources for minimal pairs address a limited number of…
MERA: A Comprehensive LLM Evaluation in Russian
Alena Fenogenova, Artem Chervyakov, Nikita Martynov +16
Over the past few years, one of the most notable advancements in AI research has been in foundation models (FMs), headlined by the rise of language models (LMs). As the models' siz…