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SEACrowd, Cohere {wcksnlxn,amalopo99,tackhwawong00}@gmail.com muhammadravi251001@gmail.com, samuelcahyawijaya@cohere.com Code: https://github.com/SEACrowd/ITLC_semeval2026_shared_task_11 Equal contributions.
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Command A shows how to build an enterprise-grade LLM that balances performance, efficiency, and multilingual capabilities using decentralized training and model merging.
