17 citations · 22 across the 9 of their papers we have counts for
5 papers · 1 filter
Explore How to Inject Beneficial Noise in MLLMs
Ruishu Zhu, Sida Huang, Ziheng Jiao +1
Multimodal Large Language Models (MLLMs) have played an increasingly important role in multimodal intelligence. However, the existing fine-tuning methods often ignore cross-modal h…
Rectified Noise: A Generative Model Using Positive-incentive Noise
Zhenyu Gu, Yanchen Xu, Sida Huang +2
Rectified Flow (RF) has been widely used as an effective generative model. Although RF is primarily based on probability flow Ordinary Differential Equations (ODE), recent studies…
Laytrol: Preserving Pretrained Knowledge in Layout Control for Multimodal Diffusion Transformers
Sida Huang, Siqi Huang, Ping Luo +1
With the development of diffusion models, enhancing spatial controllability in text-to-image generation has become a vital challenge. As a representative task for addressing this c…
CoLM: Collaborative Large Models via A Client-Server Paradigm
Siqi Huang, Sida Huang, Hongyuan Zhang
Large models have achieved remarkable performance across a range of reasoning and understanding tasks. Prior work often utilizes model ensembles or multi-agent systems to collabora…
AI Flow: Perspectives, Scenarios, and Approaches
Hongjun An, Wenhan Hu, Sida Huang +11
Pioneered by the foundational information theory by Claude Shannon and the visionary framework of machine intelligence by Alan Turing, the convergent evolution of information and c…