Recently, large language models (LLMs) have attracted considerable attention due to their
remarkable capabilities. However, LLMs' generation of biased or hallucinatory content …

While large language models (LLMs) have demonstrated remarkable capabilities across a
range of downstream tasks, a significant concern revolves around their propensity to exhibit …

How good a research scientist is ChatGPT? We systematically probed the capabilities of
GPT-3.5 and GPT-4 across four central components of the scientific process: as a Research …

In the era of large language models (LLMs), hallucination (ie, the tendency to generate
factually incorrect content) poses great challenge to trustworthy and reliable deployment of …

In-context learning (ICL) is an astonishing emergent ability of large language models
(LLMs). By presenting a prompt that includes multiple input-output pairs as examples and …

In the times of advanced generative artificial intelligence, distinguishing truth from fallacy
and deception has become a critical societal challenge. This research attempts to analyze …

Large language models (LLMs) are increasingly used for applications beyond text
generation, ranging from text summarization to instruction following. One popular example of …

Generative AI has significantly reduced the entry barrier to the domain of AI owing to the
ease of use and core capabilities of automation, translation, and intelligent actions in our …

Artificial Intelligence (AI) is a rapidly evolving field that is influencing every aspect of life.
Generative AI (GenAI) as a sub-branch of AI is used to create content in various formats such …

The advancement of large language models (LLMs), their ability to produce eloquent and
fluent content, and their vast knowledge have resulted in their usage in various tasks and …