3 papers
cs.DC2026
TurboGR: An Accelerated Training System for Large-Scale Generative Recommendation
Huichao Chai, Zhixin Wu, Xuemiao Li +8
Generative recommendation (GR) has emerged as a promising paradigm that replaces fragmented, scenario-specific architectures with unified Transformer-based models, exhibiting scali…
cs.CV2025
Collapse of Patches: Ranking Image Patches for Efficient Visual Modeling
Wei Guo, Shunqi Mao, Zhuonan Liang +3
Observing certain patches in an image reduces the uncertainty of others. Their realization lowers the distribution entropy of each remaining patch feature, analogous to collapsing…
cs.MM2025
Gotta Hear Them All: Towards Sound Source Aware Audio Generation
Wei Guo, Heng Wang, Jianbo Ma +1
Audio synthesis has broad applications in multimedia. Recent advancements have made it possible to generate relevant audios from inputs describing an audio scene, such as images or…