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B-Instruct Qwen3-VL-, Ming Li, Yong-Jin Liu, Huankun Sheng, Yeying Fan, and Yixiang Wei are with MOE-Key Laboratory of Pervasive Computing, Department of Computer Science and Technology, Tsinghua University, Beijing, China. Yong-Jin Liu is the corresponding author (e-mail: mingli_thu, liuyongjin, shenghk, fanyeying@tsinghua.edu.cn, yx-wei22@mails.tsinghua.edu.cn). Fang Liu is with the Key State Laboratory of Media Convergence and Communication, Communication University of China, Beijing 100024, China (e-mail: fangliu@cuc.edu.cn). Minnan Luo and Weizhan Zhang are with the School of Computer Science and Technology, and Shaanxi Province Key Laboratory of Big Data Knowledge Engineering, Xi鈥檃n Jiaotong University, Xi鈥檃n, Shaanxi 710049, China (e-mail: minnluo, zhangwzh@xjtu.edu.cn). Wenping Wang is with the Department of Computer Science and Computer Engineering, Texas A&M University, College Station, TX 77840 USA (e-mail: wenping@tamu.edu).This work was supported by the Natural Science Foundation of China (U2336214)
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A 2B parameter model trained on a new 1.1M dataset can now forecast remote sensing scenes better than Gemini-2.5-Flash Image, suggesting that task-specific training data and methods can beat sheer scale.
