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Nanjing University
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VLMs can achieve substantial improvements in reasoning performance using only unlabeled data through a novel self-reflective training framework inspired by human cognition.
Achieve state-of-the-art performance on ultra-high-resolution remote sensing tasks without the quadratic compute cost, thanks to a query-guided token compression strategy.