Unverified50% confidenceFactExact time
All comparative experiments in the study share the same frozen 7B-parameter backbone model, with the only difference being the content placed in the context.
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9/11/2026
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UnverifiedA frozen model refers to a model whose weight parameters all remain unchanged during the inference phase, with no fine-tuning, adapter training, or online learning performed.62% similarUnverified样本外测试解决的是模型是否泛化的问题，消融实验解决的是模型为什么有效的问题，两者互为补充60% similarUnverifiedIt is recommended to start with smaller models (such as the 7B parameter version) and gradually select larger models based on hardware capabilities.59% similarUnverifiedIn non-deterministic LLM systems, even when using the same prompt and parameters, outputs can differ due to the model's internal sampling mechanisms (temperature, top-p, etc.), API version updates, or floating-point arithmetic precision differences.59% similar
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