1 citations · 1 across the 4 of their papers we have counts for
5 papers
Generative World Simulation with DAO and JING
XGEN Team, Guohao Cai, Haoxuan Che +16
We present a Generative World Simulation framework that couples persistent shared world state with continuous first-person audiovisual generation. The framework integrates DAO, a c…
From Dense Prediction to Visual Editing: Structured Supervision for Unified Image and Video Creation
Zhefan Rao, Bin Zou, Xuanhua He +5
Unified image and video creation requires a model to follow diverse instructions while preserving identity, geometry, and temporal structure from visual context. However, semantic-…
InsEdit: Towards Instruction-based Visual Editing via Data-Efficient Video Diffusion Models Adaptation
Zhefan Rao, Bin Zou, Haoxuan Che +5
Instruction-based video editing is a natural way to control video content with text, but adapting a video generation model into an editor usually appears data-hungry. At the same t…
Analyzing Cognitive Differences Among Large Language Models through the Lens of Social Worldview
Jiatao Li, Yanheng Li, Xiaojun Wan
Large Language Models significantly influence social interactions, decision-making, and information dissemination, underscoring the need to understand the implicit socio-cognitive…
Aspect-Guided Multi-Level Perturbation Analysis of Large Language Models in Automated Peer Review
Jiatao Li, Yanheng Li, Xinyu Hu +2
We propose an aspect-guided, multi-level perturbation framework to evaluate the robustness of Large Language Models (LLMs) in automated peer review. Our framework explores perturba…