QuantWM is presented, a training-free 2-bit KV cache quantization framework for video world models that significantly improves visual quality and temporal consistency, while outperforming existing methods across benchmarks with up to 6.20 KV cache memory compression and limited additional overhead.
Jia-Qi Zhao, Xiao-Bin Hu, Bo Yin et al.· 0 citations
This work introduces LatentStream, a progressive latent working memory framework that shifts streaming memory from store-and-retrieve to retrieve-and-internalize, and achieves new state-of-the-art results on existing online and offline video benchmarks.
Hongyu Qu, Guang-Ming Yao, Ling Xing et al.· 0 citations
Experiments on OmniMedVQA subsets show that Med-OPD consistently outperforms SFT and standard OPD across CT, MRI, Disease Diagnosis, and Lesion Grading, and demonstrate that evidence-aware distillation can better strengthen medical VLMs'reliance on key visual evidence and improve reliable multimodal medical reasoning.
Yun-Hang Qian, Jiaquan Yu, Jiawei Liu et al.· arXiv.org· 1 citation
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