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cs.CL2024
Benchmarking Multimodal Models for Ukrainian Language Understanding Across Academic and Cultural Domains
Yurii Paniv, Artur Kiulian, Dmytro Chaplynskyi +4
While the evaluation of multimodal English-centric models is an active area of research with numerous benchmarks, there is a profound lack of benchmarks or evaluation suites for lo…
cs.CL2024
Unsupervised Data Validation Methods for Efficient Model Training
Yurii Paniv
This paper investigates the challenges and potential solutions for improving machine learning systems for low-resource languages. State-of-the-art models in natural language proces…
cs.CL2024
Setting up the Data Printer with Improved English to Ukrainian Machine Translation
Yurii Paniv, Dmytro Chaplynskyi, Nikita Trynus +1
To build large language models for Ukrainian we need to expand our corpora with large amounts of new algorithmic tasks expressed in natural language. Examples of task performance e…