3 citations · 4 across the 7 of their papers we have counts for
4 papers · 1 filter
The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection
Tomas Horych, Christoph Mandl, Terry Ruas +4
High annotation costs from hiring or crowdsourcing complicate the creation of large, high-quality datasets needed for training reliable text classifiers. Recent research suggests u…
Can LLMs Master Math? Investigating Large Language Models on Math Stack Exchange
Ankit Satpute, Noah Giessing, Andre Greiner-Petter +4
Large Language Models (LLMs) have demonstrated exceptional capabilities in various natural language tasks, often achieving performances that surpass those of humans. Despite these…
MAGPIE: Multi-Task Media-Bias Analysis Generalization for Pre-Trained Identification of Expressions
Tomáš Horych, Martin Wessel, Jan Philip Wahle +6
Media bias detection poses a complex, multifaceted problem traditionally tackled using single-task models and small in-domain datasets, consequently lacking generalizability. To ad…
Taxonomy of Mathematical Plagiarism
Ankit Satpute, Andre Greiner-Petter, Noah Gießing +5
Plagiarism is a pressing concern, even more so with the availability of large language models. Existing plagiarism detection systems reliably find copied and moderately reworded te…