10 papers
iPOE: Interpretable Prompt Optimization via Explanations
Jiahui Li, Yarik Menchaca Resendiz, Sean Papay +1
Prompt optimization has often been framed as a discrete search problem to find high-performing and robust instructions for an LLM. However, the search result might not make it tran…
Emotionally Charged, Logically Blurred: AI-driven Emotional Framing Impairs Human Fallacy Detection
Yanran Chen, Lynn Greschner, Roman Klinger +2
Logical fallacies are common in public communication and can mislead audiences; fallacious arguments may still appear convincing despite lacking soundness, because convincingness i…
Disambiguation of Emotion Annotations by Contextualizing Events in Plausible Narratives
Johannes Schäfer, Roman Klinger
Ambiguity in emotion analysis stems both from potentially missing information and the subjectivity of interpreting a text. The latter did receive substantial attention, but can we…
Categorical Emotions or Appraisals - Which Emotion Model Explains Argument Convincingness Better?
Lynn Greschner, Meike Bauer, Sabine Weber +1
The convincingness of an argument does not only depend on its structure (logos), the person who makes the argument (ethos), but also on the emotion that it causes in the recipient…
Trust Me, I Can Convince You: The Contextualized Argument Appraisal Framework
Lynn Greschner, Sabine Weber, Roman Klinger
Emotions that somebody develops based on an argument do not only depend on the argument itself - they are also influenced by a subjective evaluation of the argument's potential imp…
What if Deception Cannot be Detected? A Cross-Linguistic Study on the Limits of Deception Detection from Text
Aswathy Velutharambath, Kai Sassenberg, Roman Klinger
Can deception be detected solely from written text? Cues of deceptive communication are inherently subtle, even more so in text-only communication. Yet, prior studies have reported…