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Fine-tuning VLMs for regional relevance doesn't have to sacrifice global performance: a simple data filtering and model merging technique boosts cultural relevance by 5-15% while barely impacting overall accuracy.
LLMs struggle to balance task completion with cultural norms in dynamic social simulations, revealing critical gaps in their cross-cultural robustness and highlighting the need for human oversight in automated benchmarking.
