This work presents MedPixel, a unified medical pixel-language model built around a shared language--mask interface that achieves strong performance in both pixel-level prediction and response generation, together with effective zero-shot transfer to external grounding benchmarks and robustness to imperfect spatial prom...
Haoyu Yang, Meixing Shi, Zeng-Jie Chen et al.· 0 citations
ReVEAL consistently outperforms both closed-source and open-source state-of-the-art methods across extensive experiments and shows that explicitly verifying evidence sufficiency, rather than stopping at semantic relevance, retrieves the decisive clues that prior methods miss and yields more reliable long-video reasonin...
C.J. Yan, Yang Zhou, Meixing Shi et al.· 1 citation
DAER maintains domain-isolated lightweight experts while keeping the pretrained Video-MLLM backbone frozen, thereby decoupling domain-specific adaptation from the general multimodal knowledge of the pretrained model, and introduces adaptive domain merging to improve parameter scalability and a two-stage optimization st...
Rui Cheng, Meixing Shi, Yuxiang Cai et al.· arXiv.org· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.