Papers by Volha Harytskaya
BelarusianGLUE: Towards a Natural Language Understanding Benchmark for Belarusian (2025.acl-long)
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| Challenge: | Recent advances in NLP, such as large language models, have had groundbreaking impact on the field. |
| Approach: | They propose a benchmark for Belarusian, an East Slavic language, with 15K instances in five tasks: sentiment analysis, linguistic acceptability, word in context, Winograd schema challenge, textual entailment. |
| Outcome: | The proposed model underperforms on sentiment analysis, linguistic acceptability, word in context, Winograd schema challenge and textual entailment, but is competitive for linguistic acceptance. |