Large Language Models (LLMs) have recently demonstrated remarkable capabilities in
natural language processing tasks and beyond. This success of LLMs has led to a large …

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 …

In this paper, we experimentally evaluate the zero-shot performance of GPT-4 against prior
generations of GPT on the entire uniform bar examination (UBE), including not only the …

This survey addresses the crucial issue of factuality in Large Language Models (LLMs). As
LLMs find applications across diverse domains, the reliability and accuracy of their outputs …

Large language models (LLMs), such as GPT4 and LLaMA, are creating significant
advancements in natural language processing, due to their strong text encoding/decoding …

Do large language models (LLMs) know the law? LLMs are increasingly being used to
augment legal practice, education, and research, yet their revolutionary potential is …

The rapid rise in popularity of Large Language Models (LLMs) with emerging capabilities
has spurred public curiosity to evaluate and compare different LLMs, leading many …

This paper introduces v0. 5 of the AI Safety Benchmark, which has been created by the
MLCommons AI Safety Working Group. The AI Safety Benchmark has been designed to …

Large language models (LLMs) have demonstrated strong capabilities in various aspects.
However, when applying them to the highly specialized, safe-critical legal domain, it is …

As language models are adapted by a more sophisticated and diverse set of users, the
importance of guaranteeing that they provide factually correct information supported by …