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cs.AI2026
StoryTR: Narrative-Centric Video Temporal Retrieval with Theory of Mind Reasoning
Xuanyue Zhong, Yuqiang Xie, Guanqun Bi +2
Current video moment retrieval excels at action-centric tasks but struggles with narrative content. Models can see \textit{what is happening} but fail to reason \textit{why it matt…
cs.CV2026
SkyReels-V3 Technique Report
Debang Li, Zhengcong Fei, Tuanhui Li +19
Video generation serves as a cornerstone for building world models, where multimodal contextual inference stands as the defining test of capability. In this end, we present SkyReel…
cs.LG2026
Disentangling Task Conflicts in Multi-Task LoRA via Orthogonal Gradient Projection
Ziyu Yang, Guibin Chen, Yuxin Yang +2
Multi-Task Learning (MTL) combined with Low-Rank Adaptation (LoRA) has emerged as a promising direction for parameter-efficient deployment of Large Language Models (LLMs). By shari…