Papers by Marcelo Sandoval-Castañeda
Cross-Modal Taxonomic Generalization in (Vision-) Language Models (2026.acl-long)
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| Challenge: | Existing studies have shown that language models learn from surface form to learn from more grounded evidence. |
| Approach: | They propose to use a vision-language model to learn hypernyms from images . they find that the model can recover this knowledge and generalize even when there is no hypernomia in the image. |
| Outcome: | The proposed model can recover this knowledge and generalize even when the model receives no evidence of hypernyms during training. |