面对媒体关于政府扶持的提问,张雪坦言未获直接资金支持,但强调重庆完善的产业生态为企业发展提供了沃土。他解释说此前言论意在展现自主创新能力,同时肯定政府营造良好营商环境的重要性。
we represent the funcref-to-index mapping as a simple table. Acceptable.
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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.