3 citations · 4 across the 4 of their papers we have counts for
4 papers
MIST: Mutual Information Estimation Via Supervised Training
German Gritsai, Megan Richards, Maxime Méloux +2
We propose a fully data-driven approach to designing mutual information (MI) estimators. Since any MI estimator is a function of the observed sample from two random variables, we p…
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…
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…
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…