Anton Lavrouk — accepted AI-conference papers

2025

What are Foundation Models Cooking in the Post-Soviet World?

Anton Lavrouk, Tarek Naous, Alan Ritter, Wei Xu

EMNLP 2025

The culture of the Post-Soviet states is complex, shaped by a turbulent history that continues to influence current events. In this study, we investigate the Post-Soviet cultural food knowledge of foundation models by constructing BORSch, a multi-modal dataset encompassing 1147 and 823 dishes in the

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2024

ReadMe++: Benchmarking Multilingual Language Models for Multi-Domain Readability Assessment

Tarek Naous, Michael J Ryan, Anton Lavrouk, Mohit Chandra, Wei Xu

EMNLP 2024main

We present a comprehensive evaluation of large language models for multilingual readability assessment. Existing evaluation resources lack domain and language diversity, limiting the ability for cross-domain and cross-lingual analyses. This paper introduces ReadMe++, a multilingual multi-domain data…

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