9 citations · 18 across the 11 of their papers we have counts for
Showing 2024Show all
2 papers · 1 filter
cs.CY2024★ 4 cited
GermanPartiesQA: Benchmarking Commercial Large Language Models and AI Companions for Political Alignment and Sycophancy
Jan Batzner, Volker Stocker, Stefan Schmid +1
Large language models (LLMs) are increasingly shaping citizens' information ecosystems. Products incorporating LLMs, such as chatbots and AI Companions, are now widely used for dec…
cs.CL2024
Immunization against harmful fine-tuning attacks
Domenic Rosati, Jan Wehner, Kai Williams +4
Large Language Models (LLMs) are often trained with safety guards intended to prevent harmful text generation. However, such safety training can be removed by fine-tuning the LLM o…