SFT on localized Vietnamese math data improves explanation quality by 77% in a 1.7B model, with CoT+self-consistency outperforming ReAct-style test-time scaling.
s1: Simple test-time scaling,
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Bridging the Reasoning Gap in Vietnamese with Small Language Models via Test-Time Scaling
SFT on localized Vietnamese math data improves explanation quality by 77% in a 1.7B model, with CoT+self-consistency outperforming ReAct-style test-time scaling.