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Benno Stein

Researcher at Bauhaus University, Weimar

Publications -  381
Citations -  12209

Benno Stein is an academic researcher from Bauhaus University, Weimar. The author has contributed to research in topics: Computer science & Task (project management). The author has an hindex of 53, co-authored 340 publications receiving 9880 citations. Previous affiliations of Benno Stein include University of Paderborn.

Papers
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Proceedings Article

Overview of the 2nd International Competition on Plagiarism Detection

TL;DR: In PAN'10, 18 plagiarism detectors were evaluated in detail, highlighting several important aspects of plagiarism detection, such as obfuscation, intrinsic vs. external plagiarism, and plagiarism case length as mentioned in this paper.
Journal Article

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

Aarohi Srivastava, +439 more
- 09 Jun 2022 - 
TL;DR: Evaluation of OpenAI's GPT models, Google-internal dense transformer architectures, and Switch-style sparse transformers on BIG-bench, across model sizes spanning millions to hundreds of billions of parameters finds that model performance and calibration both improve with scale, but are poor in absolute terms.
Posted Content

A Stylometric Inquiry into Hyperpartisan and Fake News

TL;DR: It is revealed that left-wing and right-wing news share significantly more stylistic similarities than either does with the mainstream, and applications of the results include partisanship detection and pre-screening for semi-automatic fake news detection.
Proceedings ArticleDOI

A Stylometric Inquiry into Hyperpartisan and Fake News

TL;DR: The authors report on a comparative style analysis of hyperpartisan (extremely one-sided) news and fake news, showing that 97% of the 299 fake news articles identified are also hyperpartisan.
Proceedings Article

An Evaluation Framework for Plagiarism Detection

TL;DR: Empirical evidence is given that the construction of tailored training corpora for plagiarism detection can be automated, and hence be done on a large scale.