Abstract Large Language Models (LLMs), such as ChatGPT and Bard, have revolutionized
natural language understanding and generation. They possess deep language …

Large Language Models (LLMs) are swiftly advancing in architecture and capability, and as
they integrate more deeply into complex systems, the urgency to scrutinize their security …

Warning: this paper contains data, prompts, and model outputs that are offensive in nature.
Recently, there has been a surge of interest in integrating vision into Large Language …

Misinformation such as fake news and rumors is a serious threat on information ecosystems
and public trust. The emergence of Large Language Models (LLMs) has great potential to …

Deploying Large language models (LLMs) can pose hazards from harmful outputs such as
toxic or dishonest speech. Prior work has introduced tools that elicit harmful outputs in order …

Recently, Large Language Models (LLMs) have made significant advancements and are
now widely used across various domains. Unfortunately, there has been a rising concern …

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 …

While large language models (LLMs) have shown remarkable effectiveness in various NLP
tasks, they are still prone to issues such as hallucination, unfaithful reasoning, and toxicity. A …

Safety alignment of Large Language Models (LLMs) can be compromised with manual
jailbreak attacks and (automatic) adversarial attacks. Recent work suggests that patching …

As large language models (LLMs) become increasingly integrated into real-world
applications such as code generation and chatbot assistance, extensive efforts have been …