From the 1 of 4 linked papers with an AI index.
4 papers
Safeguards Based on Copyable Context Cannot Provide Reliable Safety for LLMs
Pingyu Wu, Lingyao Zhu, Weiming Zhang +1
The paper shows that safeguards for large language models that rely only on copyable context cannot guarantee reliable safety for dual‑use tasks, and proposes adding hard‑to‑copy t…
MF-Speech: Achieving Fine-Grained and Compositional Control in Speech Generation via Factor Disentanglement
Xinyue Yu, Youqing Fang, Pingyu Wu +4
Generating expressive and controllable human speech is one of the core goals of generative artificial intelligence, but its progress has long been constrained by two fundamental ch…
Beyond Sliders: Mastering the Art of Diffusion-based Image Manipulation
Yufei Tang, Daiheng Gao, Pingyu Wu +3
In the realm of image generation, the quest for realism and customization has never been more pressing. While existing methods like concept sliders have made strides, they often fa…
MES-RAG: Bringing Multi-modal, Entity-Storage, and Secure Enhancements to RAG
Pingyu Wu, Daiheng Gao, Jing Tang +4
Retrieval-Augmented Generation (RAG) improves Large Language Models (LLMs) by using external knowledge, but it struggles with precise entity information retrieval. In this paper, w…