1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CL2024
Quantifying Generative Media Bias with a Corpus of Real-world and Generated News Articles
Filip Trhlik, Pontus Stenetorp
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. Th…
cs.CL2024★ 1 cited
RAID: A Shared Benchmark for Robust Evaluation of Machine-Generated Text Detectors
Liam Dugan, Alyssa Hwang, Filip Trhlik +5
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 shar…