Ladders in Chaos: When, How, (and Perhaps Why) Does Test-Time Scaling Improve LLM Machine Translation
This study shows that sequential sampling has a higher performance ceiling, providing a more diverse and effective pool of samples, particularly under smaller sampling budgets, and suggests an explanation of the mechanism through which sequential scaling improves machine translation.
Di Wu, S. Troshin, C. Monz et al.
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