Large language models (LLMs) have been shown to be able to perform new tasks based on
a few demonstrations or natural language instructions. While these capabilities have led to …

We introduce a new type of test, called a Turing Experiment (TE), for evaluating to what
extent a given language model, such as GPT models, can simulate different aspects of …

With various AI tools such as ChatGPT becoming increasingly popular, we are entering a
true AI era. We can foresee that exceptional AI tools will soon reap considerable profits. A …

In recent years, ML researchers have wrestled with defining and improving machine
learning (ML) benchmarks and datasets. In parallel, some have trained a critical lens on the …

Given a query and a document corpus, the information retrieval (IR) task is to output a
ranked list of relevant documents. Combining large language models (LLMs) with …

Large Language Models (LLM) have made significant advances in the recent past becoming
more mainstream in Artificial Intelligence (AI) enabled human-facing applications. However …

The emergence of human-like abilities of AI systems for content generation in domains such
as text, audio, and vision has prompted the development of classifiers to determine whether …

Large language models (LLMs) have been shown to be able to perform new tasks based on
a few demonstrations or natural language instructions. While these capabilities have led to …

Recent advances in generative modeling have spurred a resurgence in the field of
Embodied Artificial Intelligence (EAI). EAI systems typically deploy large language models to …

The prediction of chemical reactions has gained significant interest within the machine
learning community in recent years, owing to its complexity and crucial applications in …