Open access
Oct 2026
The rapid evolution and adoption of large language models in domains with a high cost of error, including healthcare, law, finance, and education, where incorrect or factually inaccurate responses may lead to erroneous decisions, necessitate the study of the theoretical and practical aspects of the interpretation, cali...
A. Orlovskyi, G. Kyselov
· Інфокомунікаційні та комп'ют... · 0 citations
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This work combines vocabulary surgery for tokenizer adaptation without full retraining, cross-lingual transfer of quality classifiers via translation, enabling filtering without target-language annotations, and generation of instruction data through translation, task conversion, and targeted synthesis.
Yurii Paniv, Bohdan Didenko, Mykola Haltiuk et al.
· 3 citations
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A. Orlovskyi, Zakhar Guzii, Bohdan Onyshchenko et al.
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