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PathScale-R1 outperforms existing models in multi-scale reasoning, revealing that integrating diverse magnification levels can significantly enhance diagnostic accuracy.
Large language models can automate complex model transformations in automotive engineering, cutting manual effort significantly while ensuring structural validity.
LLMs can be taught to reason more comprehensively over long contexts by rewarding not just the final answer, but also the quality of the reasoning steps taken to arrive at that answer.
