21 citations · 93 across the 25 of their papers we have counts for
5 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…
SKT5SciSumm -- Revisiting Extractive-Generative Approach for Multi-Document Scientific Summarization
Huy Quoc To, Ming Liu, Guangyan Huang +4
Summarization for scientific text has shown significant benefits both for the research community and human society. Given the fact that the nature of scientific text is distinctive…
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…