2 citations · 2 across the 1 of their papers we have counts for
3 papers
cs.CV2026★ 2 cited
EasyAnimate: High-Performance Video Generation Framework with Hybrid Windows Attention and Reward Backpropagation
Jiaqi Xu, Kunzhe Huang, Xinyi Zou +5
This paper introduces EasyAnimate, an efficient and high quality video generation framework that leverages diffusion transformers to achieve high-quality video production, encompas…
cs.CL2024
PertEval: Unveiling Real Knowledge Capacity of LLMs with Knowledge-Invariant Perturbations
Jiatong Li, Renjun Hu, Kunzhe Huang +5
Expert-designed close-ended benchmarks are indispensable in assessing the knowledge capacity of large language models (LLMs). Despite their widespread use, concerns have mounted re…
cs.CL2024
VideoCLIP-XL: Advancing Long Description Understanding for Video CLIP Models
Jiapeng Wang, Chengyu Wang, Kunzhe Huang +2
Contrastive Language-Image Pre-training (CLIP) has been widely studied and applied in numerous applications. However, the emphasis on brief summary texts during pre-training preven…