While large language models (LLMs) have demonstrated remarkable capabilities across a
range of downstream tasks, a significant concern revolves around their propensity to exhibit …

Large language models (LLMs) have demonstrated impressive capabilities in natural
language processing. However, their internal mechanisms are still unclear and this lack of …

Natural Language Processing (NLP) research is increasingly focusing on the use of Large
Language Models (LLMs), with some of the most popular ones being either fully or partially …

Recent studies have highlighted the presence of cultural biases in Large Language Models
(LLMs), yet often lack a robust methodology to dissect these phenomena comprehensively …

Conceptualization, or viewing entities and situations as instances of abstract concepts in
mind and making inferences based on that, is a vital component in human intelligence for …

To avoid potential risks posed by vulnerabilities in third-party libraries, security researchers
maintain vulnerability databases (eg, NVD) containing vulnerability reports, each of which …

Abstract Large Language Models (LLMs) can have a transformative effect on a variety of
domains, including education, and it is therefore pressing to understand whether these …

Recently, there has been a growing interest in knowledge editing for Large Language
Models (LLMs). Current approaches and evaluations merely explore the instance-level …

The growing capability and availability of large language models (LLMs) have led to their
adoption in a number of domains. One application domain that could prove fruitful is to video …

人工智能生成内容(AIGC) 模型因出色的内容生成能力, 在全球范围内引起了广泛关注与应用.
然而AIGC 大模型的快速发展也带来了一系列隐患, 例如模型生成结果的可解释性 …