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HOMURA: Taming the Sand-Glass for Time-Constrained LLM Translation via Reinforcement Learning
Large Language Models (LLMs) have achieved remarkable strides in multilingual translation but are hindered by a systemic cross-lingual verbosity bias, rendering them unsuitable for strict time-constrained tasks like subtitling and dubbing. Current prompt-engineering approaches struggle to resolve th
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