collaborators

7 papers

cs.AI2026

Dual Exam: Controlled Evaluation of Multimodal Agents and World Models

Zhefan Rao, Meng Chu, Xuan Zhang +93

World Models (WMs) can support Multimodal Agents (MAs) through simulated experience, while Agent trajectories can inform World Model refinement. Evaluating this interaction require…

cs.AI2026

CoRe: Co-Evolving Reward Models for Mitigating Latent Reward Hacking in Video Diffusion Models

Zhaolong Su, Yujin Han, Feng Wang +3

Latent reward models (LRMs) enable efficient alignment of video diffusion models by scoring intermediate states directly in latent space. However, we find that optimizing against a…

cs.CV2026

From Static to Dynamic: On-Policy Distillation from Image to Video Diffusion Models

Bingqing Jiang, Li Luo, Zichao Yu +3

On-policy distillation (OPD) specializes pretrained video diffusion models through teacher supervision along the student's own generation trajectory. Although large video models ar…

cs.CL2026

Triplet-Block Diffusion RWKV

Ke Lin, Yiyang Luo, Zhaolong Su +2

Causal Transformer language models suffer from strictly sequential decoding and a quadratic per-step attention cost. While linear-time causal models and discrete diffusion models e…

cs.CV2026

How Far Is Document Parsing from Solved? PureDocBench: A Source-Traceable Benchmark across Clean, Degraded, and Real-World Settings

Zhiheng Li, Zongyang Ma, Jiaxian Chen +12

Document parsing models are improving rapidly, but existing benchmarks are still insufficient for a comprehensive evaluation of their capabilities. We introduce PureDocBench, a ben…

cs.LG2026

FedUMM: A General Framework for Federated Learning with Unified Multimodal Models

Zhaolong Su, Leheng Zhao, Xiaoying Wu +2

Unified multimodal models (UMMs) are emerging as strong foundation models that can do both generation and understanding tasks in a single architecture. However, they are typically…

cs.LG2025

UniGame: Turning a Unified Multimodal Model Into Its Own Adversary

Zhaolong Su, Wang Lu, Hao Chen +2

Unified Multimodal Models (UMMs) have shown impressive performance in both understanding and generation with a single architecture. However, UMMs still exhibit a fundamental incons…