Artificial intelligence (AI) and especially reinforcement learning (RL) have the potential to
enable agents to learn and perform tasks autonomously with superhuman performance …

We propose a method to fuse frozen text-only large language models (LLMs) with pre-
trained image encoder and decoder models, by mapping between their embedding spaces …

The emergence of Large Language Models (LLMs) in combination with easy-to-use
interfaces such as ChatGPT, Bing Chat, and Google's Bard represent both a Herculean task …

This article surveys the current state-of-the-art in affective computing (AC) principles,
methods, and tools as applied to games. We review this emerging field, namely affective …

Large language models (LLMs) have exploded a new heatwave of AI for their ability to
engage end-users in human-level conversations with detailed and articulate answers across …

Large language models that exhibit instruction-following behaviour represent one of the
biggest recent upheavals in conversational interfaces, a trend in large part fuelled by the …

ChatGPT has become a global sensation. As ChatGPT and other Large Language Models
(LLMs) emerge, concerns of misusing them in various ways increase, such as disseminating …

Large language models (LLMs) have recently transformed both the academic and industrial
landscapes due to their remarkable capacity to understand, analyze, and generate texts …

The powerful ability to understand, follow, and generate complex language emerging from
large language models (LLMs) makes LLM-generated text flood many areas of our daily …

Existing approaches to estimating politicians' latent positions along specific dimensions
often fail when relevant data is limited. We leverage the embedded knowledge in generative …