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  "text": "Exploring Efficiency Frontiers of Thinking  Budget in Medical Reasoning: Scaling Laws between Computational  Resources and Reasoning Quality\n\n\"This study presents the first comprehensive evaluation of thinking  budget mechanisms in medical reasoning tasks, revealing fundamental  scaling laws between computational resources and reasoning quality. We  systematically evaluated two major model families, Qwen3 (1.7B to 235B  parameters) and DeepSeek-R1 (1.5B to 70B parameters), across 15 medical  datasets spanning diverse specialties and difficulty levels.\"\n\n\"Domain-specific patterns emerge clearly, with neurology and  gastroenterology requiring significantly deeper reasoning processes than  cardiovascular or respiratory medicine.\"",
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