LLM4DyG: can large language models solve spatial-temporal problems on dynamic graphs?

Z Zhang, X Wang, Z Zhang, H Li, Y Qin… - Proceedings of the 30th …, 2024 - dl.acm.org
In an era marked by the increasing adoption of Large Language Models (LLMs) for various
tasks, there is a growing focus on exploring LLMs' capabilities in handling web data …

Multi-modal generative ai: Multi-modal llm, diffusion and beyond

H Chen, X Wang, Y Zhou, B Huang, Y Zhang… - arxiv preprint arxiv …, 2024 - arxiv.org
Multi-modal generative AI has received increasing attention in both academia and industry.
Particularly, two dominant families of techniques are: i) The multi-modal large language …

Disentangled Dynamic Graph Attention Network for Out-of-Distribution Sequential Recommendation

Z Zhang, X Wang, H Chen, H Li, W Zhu - ACM Transactions on …, 2024 - dl.acm.org
Sequential recommendation, leveraging user-item interaction histories to provide
personalized and timely suggestions, has drawn significant research interest recently. With …

Generative AI for Cel-Animation: A Survey

Y Tang, J Guo, P Liu, Z Wang, H Hua, JX Zhong… - arxiv preprint arxiv …, 2025 - arxiv.org
Traditional Celluloid (Cel) Animation production pipeline encompasses multiple essential
steps, including storyboarding, layout design, keyframe animation, inbetweening, and …

Movie Weaver: Tuning-Free Multi-Concept Video Personalization with Anchored Prompts

F Liang, H Ma, Z He, T Hou, J Hou, K Li, X Dai… - arxiv preprint arxiv …, 2025 - arxiv.org
Video personalization, which generates customized videos using reference images, has
gained significant attention. However, prior methods typically focus on single-concept …

Is Your World Simulator a Good Story Presenter? A Consecutive Events-Based Benchmark for Future Long Video Generation

Y Wang, X He, K Wang, L Ma, J Yang, S Wang… - arxiv preprint arxiv …, 2024 - arxiv.org
The current state-of-the-art video generative models can produce commercial-grade videos
with highly realistic details. However, they still struggle to coherently present multiple …