Papers by Polina Mikhailova

2 papers
RusCode: Russian Cultural Code Benchmark for Text-to-Image Generation (2025.findings-naacl)

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Challenge: Text-to-image generation models exhibit a strong bias toward English-speaking cultures, ignoring or misrepresenting the unique characteristics of other language groups, countries, and nationalities.
Approach: They propose a RusCode benchmark to evaluate the quality of text-to-image generation containing elements of the Russian cultural code.
Outcome: The proposed model is based on 1250 text prompts in Russian and their translations into English.
MERA: A Comprehensive LLM Evaluation in Russian (2024.acl-long)

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Challenge: Recent advances in foundation models have led to the emergence of powerful Large Language Models (LLMs), which showcase unprecedented tasksolving capabilities.
Approach: They propose a method to evaluate FMs and LMs in fixed zero- and few-shot instruction settings that can be extended to other modalities.
Outcome: The proposed evaluation methodology includes an open-source code base and a leaderboard with a submission system.

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