The rapid rise in popularity of Large Language Models (LLMs) with emerging capabilities
has spurred public curiosity to evaluate and compare different LLMs, leading many …

Human commonsense understanding of the physical and social world is organized around
intuitive theories. These theories support making causal and moral judgments. When …

The emergence of large language models (LLMs) has sparked considerable interest in their
potential application in psychological research, mainly as a model of the human psyche or …

Large language models (LLM) have demonstrated emergent abilities in text generation,
question answering, and reasoning, facilitating various tasks and domains. Despite their …

Large Language Models (LLMs) have recently showcased their remarkable capacities, not
only in natural language processing tasks but also across diverse domains such as clinical …

Large Language Models (LLMs) have recently showcased their remarkable capacities, not
only in natural language processing tasks but also across diverse domains such as clinical …

We present eight experiments exploring gender biases in GPT. Initially, GPT was asked to
generate demographics of a potential writer of fourty phrases ostensibly written by …

The success of Large Language Models (LLMs) in multicultural environments hinges on
their ability to understand users' diverse cultural backgrounds. We measure this capability by …

This study examines the capabilities of advanced Large Language Models (LLMs),
particularly the o1 model, in the context of literary analysis. The outputs of these models are …

Large language models (LLMs) have demonstrated remarkable capabilities in generating
human-like text and exhibiting personality traits similar to those in humans. However, the …