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LLMs don't see cities neutrally; their perception is skewed towards a culturally uneven baseline, favoring Western perspectives.
Forget fine-tuning: this training-free pipeline aligns VLMs with human preferences by calibrating concept scores, outperforming supervised methods in urban perception tasks.
