Papers with diversity-coverage-based matching score
In-Context Compositional Generalization for Large Vision-Language Models (2024.emnlp-main)
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| Challenge: | Recent work shows that in-context learning for large language models exhibits compositional generalization capacity. |
| Approach: | They propose a method to exhibit in-context compositional generalization in large vision-language models by combining visual and linguistic modalities. |
| Outcome: | The proposed method reduces redundancy and complexity in in-context learning with LVLMs. |