GeoReward: Enabling Vision‑Language Models to Sense Market Context for Country‑Specific Ad Creative

The paper identifies Contextual Variable Overestimation in vision‑language models, introduces the MACP multi‑country ad preference dataset, proposes the three‑gate GeoReward framework to restore sensitivity to sparse country cues, and demonstrates superior accuracy, sensitivity, and controllable ad generation across ten markets.

Cross-Market PreferenceDataset MACPGeoReward

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GeoReward: Enabling Vision‑Language Models to Sense Market Context for Country‑Specific Ad Creative