Papers by Piyush Singh Pasi
Multilingual-To-Multimodal (M2M): Unlocking New Languages with Monolingual Text (2026.findings-eacl)
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| Challenge: | Existing multimodal models rely on machine translation, but performance drops for other languages due to limited multilingual multimodal resources. |
| Approach: | They propose a lightweight alignment method that learns only a few linear layers using English text alone to map multilingual text embeddings into multimodal space. |
| Outcome: | M2M achieves strong zero-shot transfer on XTD Text-to-Image retrieval in English and spanish . it learns only a few linear layers to map multilingual text embeddings into multimodal space . |