3 papers
cs.CL2025
Paper Summary Attack: Jailbreaking LLMs through LLM Safety Papers
Liang Lin, Zhihao Xu, Xuehai Tang +5
The safety of large language models (LLMs) has garnered significant research attention. In this paper, we argue that previous empirical studies demonstrate LLMs exhibit a propensit…
cs.MM2024
Enhancing Cross-Prompt Transferability in Vision-Language Models through Contextual Injection of Target Tokens
Xikang Yang, Xuehai Tang, Fuqing Zhu +2
Vision-language models (VLMs) seamlessly integrate visual and textual data to perform tasks such as image classification, caption generation, and visual question answering. However…
cs.IR2024
Semantic-Enhanced Relational Metric Learning for Recommender Systems
Mingming Li, Fuqing Zhu, Feng Yuan +1
Recently, relational metric learning methods have been received great attention in recommendation community, which is inspired by the translation mechanism in knowledge graph. Diff…