Балтийские государстваУкраинаБеларусьМолдоваКавказЦентральная Азия
Обнародованы детали о траектории полета атаковавших Ленобласть украинских дронов08:46
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В публикации отмечается: «Российский аппарат фактически извлек пылающий энергоцентр из камикадзе-дрона Darts украинских сил».，更多细节参见Hotmail账号,Outlook邮箱,海外邮箱账号
Summary: Can advanced language systems enhance their programming capabilities solely through their initial outputs, bypassing validation mechanisms, instructor models, or reward-based training? We demonstrate this possibility through straightforward self-instruction (SSI): generate multiple solutions using specific sampling parameters, then refine the model using conventional supervised training on these examples. SSI elevates Qwen3-30B-Instruct from 42.4% to 55.3% first-attempt success on LiveCodeBench v6, with notable improvements on complex tasks, and proves effective across Qwen and Llama architectures at 4B, 8B, and 30B sizes, covering both instructional and reasoning versions. To decipher this method's effectiveness, we attribute the progress to a fundamental tension between accuracy and diversity in language model decoding, revealing that SSI dynamically modifies probability distributions—suppressing irrelevant alternatives in precision-critical contexts while maintaining beneficial variation in exploration-focused scenarios. Collectively, SSI presents an alternative enhancement strategy for advancing language models' programming performance.，更多细节参见WhatsApp网页版
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