AI-generated text boundary detection with RoFT

no code implementations • 14 Nov 2023 • Laida Kushnareva, Tatiana Gaintseva, German Magai, Serguei Barannikov, Dmitry Abulkhanov, Kristian Kuznetsov, Eduard Tulchinskii, Irina Piontkovskaya, Sergey Nikolenko

Due to the rapid development of large language models, people increasingly often encounter texts that may start as written by a human but continue as machine-generated.

Boundary Detection Text Detection +2

Intrinsic Dimension Estimation for Robust Detection of AI-Generated Texts

1 code implementation • NeurIPS 2023 • Eduard Tulchinskii, Kristian Kuznetsov, Laida Kushnareva, Daniil Cherniavskii, Serguei Barannikov, Irina Piontkovskaya, Sergey Nikolenko, Evgeny Burnaev

Rapidly increasing quality of AI-generated content makes it difficult to distinguish between human and AI-generated texts, which may lead to undesirable consequences for society.

Learning Topology-Preserving Data Representations

1 code implementation • 31 Jan 2023 • Ilya Trofimov, Daniil Cherniavskii, Eduard Tulchinskii, Nikita Balabin, Evgeny Burnaev, Serguei Barannikov

The method aims to provide topological similarity between the data manifold and its latent representation via enforcing the similarity in topological features (clusters, loops, 2D voids, etc.)

Dimensionality Reduction

Topological Data Analysis for Speech Processing

no code implementations • 30 Nov 2022 • Eduard Tulchinskii, Kristian Kuznetsov, Laida Kushnareva, Daniil Cherniavskii, Serguei Barannikov, Irina Piontkovskaya, Sergey Nikolenko, Evgeny Burnaev

We apply topological data analysis (TDA) to speech classification problems and to the introspection of a pretrained speech model, HuBERT.

Topological Data Analysis

Acceptability Judgements via Examining the Topology of Attention Maps

1 code implementation • 19 May 2022 • Daniil Cherniavskii, Eduard Tulchinskii, Vladislav Mikhailov, Irina Proskurina, Laida Kushnareva, Ekaterina Artemova, Serguei Barannikov, Irina Piontkovskaya, Dmitri Piontkovski, Evgeny Burnaev

The role of the attention mechanism in encoding linguistic knowledge has received special interest in NLP.

CoLA Linguistic Acceptability +2