3 papers
cs.LG2026
When Correct Demonstrations Hurt: Rethinking the Role of Exemplars in In-Context Learning
Chenghao Qiu, Chunli Peng, Yufeng Yang +2
In-context learning (ICL) is often motivated by the intuition that demonstrations help because they provide correct input-output examples. However, we reveal a counterintuitive phe…
cs.CV2026
One-to-All Animation: Alignment-Free Character Animation and Image Pose Transfer
Shijun Shi, Jing Xu, Zhihang Li +5
Recent advances in diffusion models have greatly improved pose-driven character animation. However, existing methods are limited to spatially aligned reference-pose pairs with matc…
cs.CV2026
Matrix-game 2.0: An open-source real-time and streaming interactive world model
Xianglong He, Chunli Peng, Zexiang Liu +16
Recent advances in interactive video generations have demonstrated diffusion model's potential as world models by capturing complex physical dynamics and interactive behaviors. How…