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In2x at WMT25 Translation Task

Published 20 Aug 2025 in cs.CL and cs.AI | (2508.14472v1)

Abstract: This paper presents the open-system submission by the In2x research team for the WMT25 General Machine Translation Shared Task. Our submission focuses on Japanese-related translation tasks, aiming to explore a generalizable paradigm for extending LLMs to other languages. This paradigm encompasses aspects such as data construction methods and reward model design. The ultimate goal is to enable LLM systems to achieve exceptional performance in low-resource or less commonly spoken languages.

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