47 citations · 49 across the 2 of their papers we have counts for
2 papers
cs.CL2023★ 2 cited
A Methodology for Generative Spelling Correction via Natural Spelling Errors Emulation across Multiple Domains and Languages
Nikita Martynov, Mark Baushenko, Anastasia Kozlova +3
Modern large language models demonstrate impressive capabilities in text generation and generalization. However, they often struggle with solving text editing tasks, particularly w…
cs.CL2022★ 47 cited
mGPT: Few-Shot Learners Go Multilingual
Oleh Shliazhko, Alena Fenogenova, Maria Tikhonova +3
Recent studies report that autoregressive language models can successfully solve many NLP tasks via zero- and few-shot learning paradigms, which opens up new possibilities for usin…