2 citations · 4 across the 6 of their papers we have counts for
6 papers
ReFACT: A Benchmark for Scientific Confabulation Detection with Positional Error Annotations
Yindong Wang, Martin Preiß, Margarita Bugueño +4
The mechanisms underlying scientific confabulation in Large Language Models (LLMs) remain poorly understood. We introduce ReFACT (Reddit False And Correct Texts), a benchmark of 1,…
Designing a Collaborative Platform for Advancing Supply Chain Transparency
Lukas Hueller, Tim Kuffner, Matthias Schneider +5
Enabling supply chain transparency (SCT) is essential for regulatory compliance and meeting sustainability standards. Multi-tier SCT plays a pivotal role in identifying and mitigat…
Investigating Wit, Creativity, and Detectability of Large Language Models in Domain-Specific Writing Style Adaptation of Reddit's Showerthoughts
Tolga Buz, Benjamin Frost, Nikola Genchev +3
Recent Large Language Models (LLMs) have shown the ability to generate content that is difficult or impossible to distinguish from human writing. We investigate the ability of diff…
FARSEC: A Reproducible Framework for Automatic Real-Time Vehicle Speed Estimation Using Traffic Cameras
Lucas Liebe, Franz Sauerwald, Sylwester Sawicki +6
Estimating the speed of vehicles using traffic cameras is a crucial task for traffic surveillance and management, enabling more optimal traffic flow, improved road safety, and lowe…
Democratization of Retail Trading: Can Reddit's WallStreetBets Outperform Investment Bank Analysts?
Tolga Buz, Gerard de Melo
The recent hype around Reddit's WallStreetBets (WSB) community has inspired research on its impact on our economy and society. Still, one important question remains: Can WSB's comm…
Should You Take Investment Advice From WallStreetBets? A Data-Driven Approach
Tolga Buz, Gerard de Melo
Reddit's WallStreetBets (WSB) community has come to prominence in light of its notable role in affecting the stock prices of what are now referred to as meme stocks. Yet very littl…