3 papers
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…
cs.HC2025
Users Favor LLM-Generated Content -- Until They Know It's AI
Petr Parshakov, Iuliia Naidenova, Sofia Paklina +2
In this paper, we investigate how individuals evaluate human and large langue models generated responses to popular questions when the source of the content is either concealed or…
econ.GN2025
Strategizing with AI: Insights from a Beauty Contest Experiment
Iuliia Alekseenko, Dmitry Dagaev, Sofia Paklina +1
A -beauty contest is a wide class of games of guessing the most popular strategy among other players. In particular, guessing a fraction of a mean of numbers chosen by all playe…