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When is more search useful? An Empirical Study of Search Utility in Quality-Aware Decoding for Machine Translation
Quality-Aware Decoding (QAD) improves machine translation through test-time scaling, generating multiple candidate translations and selecting the final output with a quality-aware decoder. Usually the same candidate budget N is spent on every source sentence, assuming that all inputs require the sam
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