40 citations · 41 across the 7 of their papers we have counts for
7 papers
Decompose, Look, and Reason: Reinforced Latent Reasoning for VLMs
Mengdan Zhu, Senhao Cheng, Liang Zhao
Vision-Language Models often struggle with complex visual reasoning due to the visual information loss in textual CoT. Existing methods either add the cost of tool calls or rely on…
Learning User Interests via Reasoning and Distillation for Cross-Domain News Recommendation
Mengdan Zhu, Yufan Zhao, Tao Di +2
News recommendation plays a critical role in online news platforms by helping users discover relevant content. Cross-domain news recommendation further requires inferring user's un…
Cross-modal RAG: Sub-dimensional Text-to-Image Retrieval-Augmented Generation
Mengdan Zhu, Senhao Cheng, Guangji Bai +2
Text-to-image generation increasingly demands access to domain-specific, fine-grained, and rapidly evolving knowledge that pretrained models cannot fully capture, necessitating the…
LatentExplainer: Explaining Latent Representations in Deep Generative Models with Multimodal Large Language Models
Mengdan Zhu, Raasikh Kanjiani, Jiahui Lu +3
Deep generative models like VAEs and diffusion models have advanced various generation tasks by leveraging latent variables to learn data distributions and generate high-quality sa…
DUE: Dynamic Uncertainty-Aware Explanation Supervision via 3D Imputation
Qilong Zhao, Yifei Zhang, Mengdan Zhu +4
Explanation supervision aims to enhance deep learning models by integrating additional signals to guide the generation of model explanations, showcasing notable improvements in bot…
Explaining latent representations of generative models with large multimodal models
Mengdan Zhu, Zhenke Liu, Bo Pan +2
Learning interpretable representations of data generative latent factors is an important topic for the development of artificial intelligence. With the rise of the large multimodal…
Beyond Efficiency: A Systematic Survey of Resource-Efficient Large Language Models
Guangji Bai, Zheng Chai, Chen Ling +11
The burgeoning field of Large Language Models (LLMs), exemplified by sophisticated models like OpenAI's ChatGPT, represents a significant advancement in artificial intelligence. Th…