6 citations · 12 across the 13 of their papers we have counts for
13 papers
Exploring Visual Prompting: Robustness Inheritance and Beyond
Qi Li, Liangzhi Li, Zhouqiang Jiang +2
Visual Prompting (VP), an efficient method for transfer learning, has shown its potential in vision tasks. However, previous works focus exclusively on VP from standard source mode…
Cracking the Code: Enhancing Implicit Hate Speech Detection through Coding Classification
Lu Wei, Liangzhi Li, Tong Xiang +2
The internet has become a hotspot for hate speech (HS), threatening societal harmony and individual well-being. While automatic detection methods perform well in identifying explic…
E-InMeMo: Enhanced Prompting for Visual In-Context Learning
Jiahao Zhang, Bowen Wang, Hong Liu +3
Large-scale models trained on extensive datasets have become the standard due to their strong generalizability across diverse tasks. In-context learning (ICL), widely used in natur…
Imposter.AI: Adversarial Attacks with Hidden Intentions towards Aligned Large Language Models
Xiao Liu, Liangzhi Li, Tong Xiang +4
With the development of large language models (LLMs) like ChatGPT, both their vast applications and potential vulnerabilities have come to the forefront. While developers have inte…
Explainable Image Recognition via Enhanced Slot-attention Based Classifier
Bowen Wang, Liangzhi Li, Jiahao Zhang +2
The imperative to comprehend the behaviors of deep learning models is of utmost importance. In this realm, Explainable Artificial Intelligence (XAI) has emerged as a promising aven…
Towards Robust and Accurate Visual Prompting
Qi Li, Liangzhi Li, Zhouqiang Jiang +1
Visual prompting, an efficient method for transfer learning, has shown its potential in vision tasks. However, previous works focus exclusively on VP from standard source models, i…