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R. Kyslyi

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Review

UAReviews: A Multi-Task Ukrainian Dataset for Emotion and Intent Classification

UAReviews is introduced, a multi-task Ukrainian-language dataset for emotion and intent classification comprising 11,580 annotated texts and established baselines using single-task and multi-task fine-tuned XLM-RoBERTa models and analyzed emotion to intent correlation.

R. Kyslyi, I. Pysmennyi, Denys Mykhailov · 0 citations

Data-Efficient Adaptation of Multilingual LLMs to Ukrainian

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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