Papers by Anton Lavrouk
What are Foundation Models Cooking in the Post-Soviet World? (2025.emnlp-main)
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| Challenge: | During the Soviet era, these identities were pressured through forced assimilation under the Russian language and culture. |
| Approach: | They construct a multi-modal dataset encompassing 1147 and 823 dishes in the Russian and Ukrainian languages, centered around the Post-Soviet region. |
| Outcome: | The results show that leading models struggle to correctly identify the origins of dishes from Post-Soviet nations in both text-only and multi-modal Question Answering (QA) the weak correlation between this task and QA suggests that QA alone may be insufficient as an evaluation of cultural understanding. |
ReadMe++: Benchmarking Multilingual Language Models for Multi-Domain Readability Assessment (2024.emnlp-main)
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| Challenge: | Existing evaluation resources lack domain and language diversity, limiting the ability for cross-domain and cross-lingual analyses. |
| Approach: | They propose to use a multilingual multi-domain dataset to benchmark multilingual and monolingual models for multilingual readability assessment. |
| Outcome: | The proposed model trains better in supervised, unsupervised, and few-shot prompting settings and identifies shortcomings in state-of-the-art unsupervised methods. |