and enhanced this analysis. While fine-tuned language models show promise, their reliance on large annotated datasets is a … limitation that the use of large language models (LLMs) combined with prompt engineering overcomes. This paper introduces the … consistency of the results despite the stochastic nature of language models. …

Trolley Problem, reflected in data and processed through generative language models. These advisories can then be formulated …

methods to annotate and analyze such data with a focus on recent advances in large language models. Our review concludes with …

The rapid advancement of artificial intelligence (AI) technologies, particularly generative AI and large language … models (LLMs), has ushered in a new era of possibilities for the financial sector. This paper explores the integration of …

We study whether large language models (LLMs) can generate suitable financial advice and which LLM features are …