49 citations · 190 across the 36 of their papers we have counts for
4 papers · 1 filter
Donkii: Can Annotation Error Detection Methods Find Errors in Instruction-Tuning Datasets?
Leon Weber-Genzel, Robert Litschko, Ekaterina Artemova +1
Instruction tuning has become an integral part of training pipelines for Large Language Models (LLMs) and has been shown to yield strong performance gains. In an orthogonal line of…
Boosting Zero-shot Cross-lingual Retrieval by Training on Artificially Code-Switched Data
Robert Litschko, Ekaterina Artemova, Barbara Plank
Transferring information retrieval (IR) models from a high-resource language (typically English) to other languages in a zero-shot fashion has become a widely adopted approach. In…
Low-resource Bilingual Dialect Lexicon Induction with Large Language Models
Ekaterina Artemova, Barbara Plank
Bilingual word lexicons are crucial tools for multilingual natural language understanding and machine translation tasks, as they facilitate the mapping of words in one language to…
Can BERT eat RuCoLA? Topological Data Analysis to Explain
Irina Proskurina, Irina Piontkovskaya, Ekaterina Artemova
This paper investigates how Transformer language models (LMs) fine-tuned for acceptability classification capture linguistic features. Our approach uses the best practices of topol…