Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Provoking Unstable and Evasive ChatGPT Behaviour with Anti-chain-of-thought: Japanese Rock Song Lyrics Case, A Year Later
0
Zitationen
2
Autoren
2024
Jahr
Abstract
Considerably attention has been directed towards assessing the capabilities of ChatGPT and other Large Language Models (LLMs) in various aspects such as syntax accuracy, factual correctness, comprehensive world understanding, ethical alignment, common sense, and formal logical reasoning. However, the bulk of the research has primarily focused on analyzing "statically" generated texts, where only a single interaction between a human and LLMs was documented. More sophisticated methodologies involving open-ended discussions or debates between humans and LLMs yield far more intriguing outcomes. These reveal flawed rhetorical patterns, including circular arguments, self-contradictions, topic evasion, inconsistency, and a blend of passive aggression with attempts to please the human disputant. In this paper, we present an original observation of such behaviour occurring during a ChatGPT dialogue session centred around the translation of Japanese song lyrics.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.551 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.443 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.942 Zit.
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
2019 · 6.792 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.781 Zit.