Unverified50% confidenceSolutionExact time
Setting quantitative constraints in prompts (such as dialogue ratio, single-sentence length, and paragraph density) is more reliably followed by models than vague stylistic descriptions.
1
Sources
50%
Confidence
Long-term
Relevance
9/11/2026
First Seen
Sources
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Related Claims
Unverified函数调用能力更多依赖于针对性的指令微调,而非单纯堆叠模型规模,因为其输出空间有限且模式固定71% similarUnverified具体的操作性规范(如正文字号不小于16px、间距遵循4的倍数网格)比抽象原则更能有效收窄模型输出空间70% similarUnverifiedWhen large language models perform multi-step reasoning, they implicitly "compress" complex constraint conditions—the attention mechanism fails to sufficiently attend to the additional constraints within compound rules, causing the model to simplify composite rules containing multiple constraints into a single action.70% similarUnverifiedThe Hunyuan model tends to oversimplify and smooth, with noticeable jagged artifacts, indicating that resolution is still insufficient.70% similarUnverifiedA smaller quantized model is not necessarily more VRAM-efficient or smoother to run—this is a counterintuitive trade-off.70% similar
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