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Author

E. Chuangsuwanich

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#natural language process... Preprint Sep 2026

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

Multilingual text-vision embedding models are essential for cross-lingual image-text retrieval, but Southeast Asian languages remain poorly supported due to the region's linguistic diversity and limited data and computing resources. In this paper, we introduce SEA-CLIP-Tiny, a compact multilingual text-vision embedding...

Puja Ahmad Habibi, Faiz Assabil Firdaus, S. Ashvanth et al. · 0 citations
#natural language process... Conference Oct 2025

Evaluating Perspectival Biases in Cross-Modal Retrieval

This work introduces the Cross-Cultural, Cross-Modal, Cross-lingual Multimodal (3XCM) benchmark, and suggests that achieving equitable multimodal retrieval necessitates targeted strategies that explicitly decouple language from culture, rather than relying solely on broader data exposure.

Teerapol Saengsukhiran, Peerawat Chomphooyod, Narabodee Rodjananant et al. · 0 citations

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