17 citations · 20 across the 5 of their papers we have counts for
5 papers
Show Me How You Reason and I'll Tell You Who You Are: Reasoning Graphs for Robust LLM Authorship Attribution
Zlata Kikteva, Artur Romazanov, Annette Hautli-Janisz +1
Given the current trend to employ large language models (LLMs) in almost any imaginable context, LLM-generated text detection and authorship attribution have become a pressing issu…
Benevolent Dictators? On LLM Agent Behavior in Dictator Games
Andreas Einwiller, Kanishka Ghosh Dastidar, Artur Romazanov +3
In behavioral sciences, experiments such as the ultimatum game are conducted to assess preferences for fairness or self-interest of study participants. In the dictator game, a simp…
Toward Reasonable Parrots: Why Large Language Models Should Argue with Us by Design
Elena Musi, Nadin Kokciyan, Khalid Al-Khatib +10
In this position paper, we advocate for the development of conversational technology that is inherently designed to support and facilitate argumentative processes. We argue that, a…
Large Language Models can impersonate politicians and other public figures
Steffen Herbold, Alexander Trautsch, Zlata Kikteva +1
Modern AI technology like Large language models (LLMs) has the potential to pollute the public information sphere with made-up content, which poses a significant threat to the cohe…
AI, write an essay for me: A large-scale comparison of human-written versus ChatGPT-generated essays
Steffen Herbold, Annette Hautli-Janisz, Ute Heuer +2
Background: Recently, ChatGPT and similar generative AI models have attracted hundreds of millions of users and become part of the public discourse. Many believe that such models w…