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This AI paper examines test time scaling of English-centered RLMS for improved multilingual reasoning and domain generalization
Reasoning language models or RLMs are increasingly used to simulate step-by-step problem solving by generating long, structured reasoning chains. These models break down complex questions into simpler parts and build logical steps to reach answers. This chain-of-thought (COT) approach has been shown to be effective in improving output quality, especially in mathematical and logical tasks. … Read more