3 papers
cs.CV2026
Reinforce to Learn, Elect to Reason: A Dual Paradigm for Video Reasoning
Songyuan Yang, Weijiang Yu, Jilin Ma +5
Video reasoning has advanced with large multimodal models (LMMs), yet their inference is often a single pass that returns an answer without verifying whether the reasoning is evide…
cs.CV2026
Graph-to-Frame RAG: Visual-Space Knowledge Fusion for Training-Free and Auditable Video Reasoning
Songyuan Yang, Weijiang Yu, Ziyu Liu +4
When video reasoning requires external knowledge, many systems with large multimodal models (LMMs) adopt retrieval augmentation to supply the missing context. Appending textual or…
cs.GR2025
Adaptive Hybrid Caching for Efficient Text-to-Video Diffusion Model Acceleration
Yuanxin Wei, Lansong Diao, Bujiao Chen +6
Efficient video generation models are increasingly vital for multimedia synthetic content generation. Leveraging the Transformer architecture and the diffusion process, video DiT m…