Papers with cross-cultural Image Captioning

1 papers
The Power of Many: Multi-Agent Multimodal Models for Cultural Image Captioning (2025.naacl-long)

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Challenge: Large Multimodal Models exhibit impressive performance across multimodal tasks . effectiveness in cross-cultural contexts limited due to predominantly Western-centric nature of data and models . multi-agent models have shown significant capability in solving complex tasks despite limitations in crosscultural context .
Approach: They propose to use a multi-agent framework to enhance cross-cultural image captioning using LMMs with distinct cultural personas to evaluate cultural information within image captions.
Outcome: The proposed model outperforms single-agent models across different metrics and offers valuable insights for future research.

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