172 citations · 259 across the 18 of their papers we have counts for
8 papers · 1 filter
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…
The Media Bias Taxonomy: A Systematic Literature Review on the Forms and Automated Detection of Media Bias
Timo Spinde, Smi Hinterreiter, Fabian Haak +4
The way the media presents events can significantly affect public perception, which in turn can alter people's beliefs and views. Media bias describes a one-sided or polarizing per…
Neural Machine Translation for Mathematical Formulae
Felix Petersen, Moritz Schubotz, Andre Greiner-Petter +1
We tackle the problem of neural machine translation of mathematical formulae between ambiguous presentation languages and unambiguous content languages. Compared to neural machine…
Paraphrase Detection: Human vs. Machine Content
Jonas Becker, Jan Philip Wahle, Terry Ruas +1
The growing prominence of large language models, such as GPT-4 and ChatGPT, has led to increased concerns over academic integrity due to the potential for machine-generated content…
Towards A Reliable Ground-Truth For Biased Language Detection
Timo Spinde, David Krieger, Manuel Plank +1
Reference texts such as encyclopedias and news articles can manifest biased language when objective reporting is substituted by subjective writing. Existing methods to detect bias…
Do You Think It's Biased? How To Ask For The Perception Of Media Bias
Timo Spinde, Christina Kreuter, Wolfgang Gaissmaier +3
Media coverage possesses a substantial effect on the public perception of events. The way media frames events can significantly alter the beliefs and perceptions of our society. Ne…