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Instruction tuning degrades the latent moral geometry of LLMs, even though distribution-driven steering vectors can naturally mirror human value topologies to enable coherent cross-value generalization.
State-of-the-art Vision-Language Models may excel in understanding but falter dramatically in creative tasks and factual recall, revealing hidden cognitive weaknesses.