Large language models (LLMs) have demonstrated extraordinary capabilities and
contributed to multiple fields, such as generating and summarizing text, language …

Personal digital data is a critical asset, and governments worldwide have enforced laws and
regulations to protect data privacy. Data users have been endowed with the “right to be …

This work identifies 18 foundational challenges in assuring the alignment and safety of large
language models (LLMs). These challenges are organized into three different categories …

We explore machine unlearning (MU) in the domain of large language models (LLMs),
referred to as LLM unlearning. This initiative aims to eliminate undesirable data influence …

Large language models (LLMs) are complex artificial intelligence systems capable of
understanding, generating and translating human language. They learn language patterns …

Large language models~(LLMs) have greatly advanced the frontiers of artificial intelligence,
attaining remarkable improvement in model capacity. To assess the model performance, a …

With large language models (LLMs) poised to become embedded in our daily lives,
questions are starting to be raised about the data they learned from. These questions range …

Recent statements about the impressive capabilities of large language models (LLMs) are
usually supported by evaluating on open-access benchmarks. Considering the vast size and …

Language models (LMs) are trained on vast amounts of text data, which may include private
and copyrighted content. Data owners may request the removal of their data from a trained …

External audits of AI systems are increasingly recognized as a key mechanism for AI
governance. The effectiveness of an audit, however, depends on the degree of access …