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Achieve state-of-the-art monocular re-localization in OpenStreetMap by cleverly aligning image semantics with map data, enabling faster and more accurate localization than dense matching approaches.
Context-augmented RL lets smaller MLLMs punch *way* above their weight, rivaling much larger models on reasoning tasks while dodging reward hacking.
