Large language models (LLMs), exemplified by ChatGPT, have gained considerable
attention for their excellent natural language processing capabilities. Nonetheless, these …

Large language models (LLMs) have gained considerable attention for their excellent
natural language processing capabilities. Nonetheless, these LLMs present many …

Humans are capable of strategically deceptive behavior: behaving helpfully in most
situations, but then behaving very differently in order to pursue alternative objectives when …

In-context learning, a paradigm bridging the gap between pre-training and fine-tuning, has
demonstrated high efficacy in several NLP tasks, especially in few-shot settings. Despite …

Applicating third-party data and models has become a new paradigm for language modeling
in NLP, which also introduces some potential security vulnerabilities because attackers can …

LLM agents have demonstrated remarkable performance across various applications,
primarily due to their advanced capabilities in reasoning, utilizing external knowledge and …

Generative Large Language Models (LLMs) have made significant strides across various
tasks, but they remain vulnerable to backdoor attacks, where specific triggers in the prompt …

Backdoor Attacks have been a serious vulnerability against Large Language Models
(LLMs). However, previous methods only reveal such risk in specific models, or present …

Leveraging the rapid development of Large Language Models LLMs, LLM-based agents
have been developed to handle various real-world applications, including finance …

The advancement of Large Language Models (LLMs) has significantly impacted various
domains, including Web search, healthcare, and software development. However, as these …