Abstract Generative Pre-trained Transformer (GPT) models have exhibited exciting progress
in capabilities, capturing the interest of practitioners and the public alike. Yet, while the …

Large Language Models (LLMs) have emerged as a groundbreaking technology with their
unparalleled text generation capabilities across various applications. Nevertheless …

The advancement of large language models (LLMs) has significantly enhanced the ability to
effectively tackle various downstream NLP tasks and unify these tasks into generative …

Web-crawled pretraining datasets underlie the impressive" zero-shot" evaluation
performance of multimodal models, such as CLIP for classification and Stable-Diffusion for …

Large Language Models (LLMs) bring transformative benefits alongside unique challenges,
including intellectual property (IP) and ethical concerns. This position paper explores a …

Large language models (LLMs) have strong capabilities in solving diverse natural language
processing tasks. However, the safety and security issues of LLM systems have become the …

Large Language Models (LLMs) have become integral to numerous domains, significantly
advancing applications in data management, mining, and analysis. Their profound …

Responding to the rapid roll-out and large-scale commercialization of foundation models,
large language models, and generative AI, an emerging body of work is shedding light on …

The increasing demand for customized Large Language Models (LLMs) has led to the
development of solutions like GPTs. These solutions facilitate tailored LLM creation via …

Large Language Models (LLMs) represent a significant advancement in artificial
intelligence, finding applications across various domains. However, their reliance on …