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Pume Tuchinda

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#natural language process... Preprint Sep 2026

SEA-CLIP-Tiny: Efficient Multilingual Text-Vision Embedding for Southeast Asian Languages

SEA-CLIP-Tiny is introduced, a compact multilingual text-vision embedding model for Southeast Asia with fewer than 50M parameters that adapts a CLIP-KD-style framework to Southeast Asian multilingual settings through regional data curation and multilingual teacher guidance.

Puja Ahmad Habibi, Faiz Assabil Firdaus, S. Ashvanth et al. · 0 citations

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