3 citations · 4 across the 3 of their papers we have counts for
4 papers
BLOOM: A 176B-Parameter Open-Access Multilingual Language Model
BigScience Workshop, :, Teven Le Scao +391
Large language models (LLMs) have been shown to be able to perform new tasks based on a few demonstrations or natural language instructions. While these capabilities have led to wi…
Universal and Independent: Multilingual Probing Framework for Exhaustive Model Interpretation and Evaluation
Oleg Serikov, Vitaly Protasov, Ekaterina Voloshina +2
Linguistic analysis of language models is one of the ways to explain and describe their reasoning, weaknesses, and limitations. In the probing part of the model interpretability re…
Is neural language acquisition similar to natural? A chronological probing study
Ekaterina Voloshina, Oleg Serikov, Tatiana Shavrina
The probing methodology allows one to obtain a partial representation of linguistic phenomena stored in the inner layers of the neural network, using external classifiers and stati…
Razmecheno: Named Entity Recognition from Digital Archive of Diaries "Prozhito"
Timofey Atnashev, Veronika Ganeeva, Roman Kazakov +5
The vast majority of existing datasets for Named Entity Recognition (NER) are built primarily on news, research papers and Wikipedia with a few exceptions, created from historical…