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

Large language models (LLMs) have transformed the interpretation and creation of human
language in the rapidly developing field of computerized language processing. These …

With the rise of Large Language Models (LLMs) in recent years, new opportunities are
emerging, but also new challenges, and contamination is quickly becoming critical …

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 …

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 …

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 …

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 introduce SOLAR 10.7 B, a large language model (LLM) with 10.7 billion parameters,
demonstrating superior performance in various natural language processing (NLP) tasks …

Upon its release in late 2022, ChatGPT has brought a seismic shift in the entire landscape of
AI, both in research and commerce. Through instruction-tuning a large language model …

Pretraining Large Language Models (LLMs) on large corpora of textual data is now a
standard paradigm. When using these LLMs for many downstream applications, it is …