382 citations · 389 across the 13 of their papers we have counts for
14 papers
Self-Evolving Visual Agent via Margin Reward
Wenxi Yang, Yuzhong Zhao, Baochang Zhang +2
Visual agents that interleave reasoning with tool invocation have posed a promising direction for multimodal tasks. However, learning effective tool invocation usually relies on cu…
Temporal Forcing: 4D Representation Alignment for Vision-Language-Action Models
Xingyu Ding, Yuzhong Zhao, Chunhai Zhao +3
Long-horizon robotic manipulation requires vision-language-action (VLA) models to track scene states and their evolution beyond the current observation. However, simply conditionin…
Mind-VLA: Instruction-Aware Spatial Representation Alignment for Vision-Language-Action Models
Xingyu Ding, Yuzhong Zhao, Yang Wu +4
Recent Vision-Language-Action (VLA) methods improve generalization by aligning their representations with 3D scene geometry. However, these methods are fundamentally instruction-ag…
Balancing Understanding and Generation in Discrete Diffusion Models
Yue Liu, Yuzhong Zhao, Zheyong Xie +5
In discrete generative modeling, two dominant paradigms demonstrate divergent capabilities: Masked Diffusion Language Models (MDLM) excel at semantic understanding and zero-shot ge…
Thinking with Images via Self-Calling Agent
Wenxi Yang, Yuzhong Zhao, Fang Wan +1
Thinking-with-images paradigms have showcased remarkable visual reasoning capability by integrating visual information as dynamic elements into the Chain-of-Thought (CoT). However,…
DocReward: A Document Reward Model for Structuring and Stylizing
Junpeng Liu, Yuzhong Zhao, Bowen Cao +17
Recent agentic workflows automate professional document generation but focus narrowly on textual quality, overlooking structural and stylistic professionalism, which is equally cri…
Geometric-Mean Policy Optimization
Yuzhong Zhao, Yue Liu, Junpeng Liu +9
Group Relative Policy Optimization (GRPO) has significantly enhanced the reasoning capability of large language models by optimizing the arithmetic mean of token-level rewards. Unf…
Model as a Game: On Numerical and Spatial Consistency for Generative Games
Jingye Chen, Yuzhong Zhao, Yupan Huang +5
Recent advances in generative models have significantly impacted game generation. However, despite producing high-quality graphics and adequately receiving player input, existing m…
Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model
Feng Liu, Shiwei Zhang, Xiaofeng Wang +6
As a fundamental backbone for video generation, diffusion models are challenged by low inference speed due to the sequential nature of denoising. Previous methods speed up the mode…
Evaluation of Text-to-Video Generation Models: A Dynamics Perspective
Mingxiang Liao, Hannan Lu, Xinyu Zhang +6
Comprehensive and constructive evaluation protocols play an important role in the development of sophisticated text-to-video (T2V) generation models. Existing evaluation protocols…
DynRefer: Delving into Region-level Multimodal Tasks via Dynamic Resolution
Yuzhong Zhao, Feng Liu, Yue Liu +4
One fundamental task of multimodal models is to translate referred image regions to human preferred language descriptions. Existing methods, however, ignore the resolution adaptabi…
ControlCap: Controllable Region-level Captioning
Yuzhong Zhao, Yue Liu, Zonghao Guo +4
Region-level captioning is challenged by the caption degeneration issue, which refers to that pre-trained multimodal models tend to predict the most frequent captions but miss the…
VMamba: Visual State Space Model
Yue Liu, Yunjie Tian, Yuzhong Zhao +6
Designing computationally efficient network architectures remains an ongoing necessity in computer vision. In this paper, we adapt Mamba, a state-space language model, into VMamba,…
Generative Prompt Model for Weakly Supervised Object Localization
Yuzhong Zhao, Qixiang Ye, Weijia Wu +2
Weakly supervised object localization (WSOL) remains challenging when learning object localization models from image category labels. Conventional methods that discriminatively tra…