Large language models (LLMs) have come closest among all models to date to mastering
human language, yet opinions about their linguistic and cognitive capabilities remain split …

ChatGPT has drawn considerable attention from both the general public and domain experts
with its remarkable text generation capabilities. This has subsequently led to the emergence …

Evaluating the factuality of long-form text generated by large language models (LMs) is non-
trivial because (1) generations often contain a mixture of supported and unsupported pieces …

Large language models (LLMs) have emerged as a widely-used tool for information
seeking, but their generated outputs are prone to hallucination. In this work, our aim is to …

Retrieval-Augmented Generation (RAG) is a promising approach for mitigating the
hallucination of large language models (LLMs). However, existing research lacks rigorous …

The rise of powerful large language models (LLMs) brings about tremendous opportunities
for innovation but also looming risks for individuals and society at large. We have reached a …

Retrieval-Augmented Generation (RAG) is a technique that enhances the capabilities of
large language models (LLMs) by incorporating external knowledge sources. This method …

A recent focus of large language model (LLM) development, as exemplified by generative
search engines, is to incorporate external references to generate and support its claims …

A prominent weakness of modern language models (LMs) is their tendency to generate
factually incorrect text, which hinders their usability. A natural question is whether such …

Abstract The Right to be Forgotten (RTBF) was first established as the result of the ruling of
Google Spain SL, Google Inc. v AEPD, Mario Costeja González, and was later included as …