Transformer language models have received widespread public attention, yet their
generated text is often surprising even to NLP researchers. In this survey, we discuss over …

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 …

Chatbots are used in many applications, eg, automated agents, smart home assistants,
interactive characters in online games, etc. Therefore, it is crucial to ensure they do not …

Recently, there has been a surge of interest in introducing vision into Large Language
Models (LLMs). The proliferation of large Visual Language Models (VLMs), such as …

Warning: this paper contains content that may be inappropriate or offensive. As generative
models become available for public use in various applications, testing and analyzing …

Abstract Machine learning and deep learning models are increasingly susceptible to
adversarial attacks, particularly in critical areas like cybersecurity and Information Disorder …

As the impact of social media gradually escalates, people are more likely to be exposed to
indistinguishable fake news. Therefore, numerous studies have attempted to detect rumors …

Gender bias in Language and Vision datasets and models has the potential to perpetuate
harmful stereotypes and discrimination. We analyze gender bias in two Language and …

The generative Artificial Intelligence (AI) tools based on Large Language Models (LLMs) use
billions of parameters to extensively analyse large datasets and extract critical private …

Red teaming is a common strategy for identifying weaknesses in generative language
models (LMs), where adversarial prompts are produced that trigger an LM to generate …