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cs.CL2026
A Komi-Yazva--Russian Parallel Corpus and Evaluation Protocol for Zero- and Few-Shot LLM Translation
Petr Parshakov
We present the first Komi-Yazva--Russian parallel corpus together with an explicit evaluation protocol for studying LLM translation in an endangered, extremely low-resource setting…
econ.GN2026
Not Yet: Humans Outperform LLMs in a Colonel Blotto Tournament
Dmitry Dagaev, Egor Ivanov, Petr Parshakov +2
The emergence of large language models (LLMs) has spurred economists to study how humans and LLMs behave in strategic settings. We organized a series of round-robin tournaments in…
cs.CL2026
AI-based approach to burnout identification from textual data
Marina Zavertiaeva, Petr Parshakov, Mikhail Usanin +3
This study introduces an AI-based methodology that utilizes natural language processing (NLP) to detect burnout from textual data. The approach relies on a RuBERT model originally…