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Filip Trhlík

2 accepted papers

2024

Quantifying Generative Media Bias with a Corpus of Real-world and Generated News Articles

EMNLP 2024finding

Large language models (LLMs) are increasingly being utilised across a range of tasks and domains, with a burgeoning interest in their application within the field of journalism. This trend raises concerns due to our limited understanding of LLM behaviour in this domain, especially with respect to po…

Cited by 6SourcePDFScholar
2024

RAID: A Shared Benchmark for Robust Evaluation of Machine-Generated Text Detectors

ACL 2024long

Many commercial and open-source models claim to detect machine-generated text with extremely high accuracy (99% or more). However, very few of these detectors are evaluated on shared benchmark datasets and even when they are, the datasets used for evaluation are insufficiently challenging—lacking va…