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A new process reward model acts as a universal geospatial verifier, scaling the performance of both specialized and general-purpose VLMs in remote sensing.
Achieve state-of-the-art fine-grained vision-language alignment in remote sensing by unifying multi-granular semantic alignment and intra-modal consistency learning.
