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LLM safety crumbles in low-resource languages because alignment is skin-deep; LASA fixes this by injecting safety at the semantic core, slashing attack success by 88%.
VLMs still struggle to understand our planet, as revealed by a new geospatial benchmark spanning diverse Earth observation tasks and multi-source sensing data.
A new process reward model acts as a universal geospatial verifier, scaling the performance of both specialized and general-purpose VLMs in remote sensing.
