Large language models (LLMs) are a special class of pretrained language models (PLMs)
obtained by scaling model size, pretraining corpus and computation. LLMs, because of their …

Vision systems that see and reason about the compositional nature of visual scenes are
fundamental to understanding our world. The complex relations between objects and their …

Large language models (LLMs) have demonstrated tremendous capabilities in solving
complex tasks, from quantitative reasoning to understanding natural language. However …

The advent of large language models marks a revolutionary breakthrough in artificial
intelligence. With the unprecedented scale of training and model parameters, the capability …

Evolutionary algorithms (EAs) have achieved remarkable success in tackling complex
combinatorial optimization problems. However, EAs often demand carefully-designed …

Vision-language models (VLMs) pre-trained on web-scale datasets have demonstrated
remarkable capabilities on downstream tasks when fine-tuned with minimal data. However …

AI tasks encompass a wide range of domains and fields. While numerous AI models have
been designed for specific tasks and applications, they often require considerable human …

Abstract Human-Object Interaction (HOI) detection is a challenging computer vision task that
requires visual models to address the complex interactive relationship between humans and …

Large language models (LLMs) have emerged as powerful tools capable of accomplishing a
broad spectrum of tasks. Their abilities span numerous areas, and one area where they …

This paper studies using foundational large language models (LLMs) to make decisions
during hyperparameter optimization (HPO). Empirical evaluations demonstrate that in …