Thomas Arnold — accepted AI-conference papers

2024

M4GT-Bench: Evaluation Benchmark for Black-Box Machine-Generated Text Detection

Yuxia Wang, Jonibek Mansurov, Petar Ivanov, Jinyan Su, Artem Shelmanov, Akim Tsvigun +8

ACL 2024long

The advent of Large Language Models (LLMs) has brought an unprecedented surge in machine-generated text (MGT) across diverse channels. This raises legitimate concerns about its potential misuse and societal implications. The need to identify and differentiate such content from genuine human-generate…

Cited by 41 Source ↗PDF ↗code ↗Scholar ↗

2022

DP-Rewrite: Towards Reproducibility and Transparency in Differentially Private Text Rewriting

Timour Igamberdiev, Thomas Arnold, Ivan Habernal

COLING 2022main

Text rewriting with differential privacy (DP) provides concrete theoretical guarantees for protecting the privacy of individuals in textual documents. In practice, existing systems may lack the means to validate their privacy-preserving claims, leading to problems of transparency and reproducibility…

Cited by 22 Source ↗PDF ↗code ↗Scholar ↗