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…
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…
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…