collaborators

5 papers

cs.CL2025

Are AI Detectors Good Enough? A Survey on Quality of Datasets With Machine-Generated Texts

German Gritsai, Anastasia Voznyuk, Andrey Grabovoy +1

The rapid development of autoregressive Large Language Models (LLMs) has significantly improved the quality of generated texts, necessitating reliable machine-generated text detect…

cs.CL2024

Advacheck at GenAI Detection Task 1: AI Detection Powered by Domain-Aware Multi-Tasking

German Gritsai, Anastasia Voznyuk, Ildar Khabutdinov +1

The paper describes a system designed by Advacheck team to recognise machine-generated and human-written texts in the monolingual subtask of GenAI Detection Task 1 competition. Our…

cs.CL2024

Multi-head Span-based Detector for AI-generated Fragments in Scientific Papers

German Gritsai, Ildar Khabutdinov, Andrey Grabovoy

This paper describes a system designed to distinguish between AI-generated and human-written scientific excerpts in the DAGPap24 competition hosted within the Fourth Workshop on Sc…

cs.CL2024

Neural machine translation system for Lezgian, Russian and Azerbaijani languages

Alidar Asvarov, Andrey Grabovoy

We release the first neural machine translation system for translation between Russian, Azerbaijani and the endangered Lezgian languages, as well as monolingual and parallel datase…

cs.LG2024

Unraveling the Hessian: A Key to Smooth Convergence in Loss Function Landscapes

Nikita Kiselev, Andrey Grabovoy

The loss landscape of neural networks is a critical aspect of their training, and understanding its properties is essential for improving their performance. In this paper, we inves…