Unverified50% confidenceCautionExact time

上下文学习（ICL）方式受限于LLM的上下文窗口长度，无法将大规模训练集完整纳入提示词中

1

Sources

50%

Confidence

Long-term

Relevance

8/5/2026

First Seen

Sources

Why Large Language Models Fail at Tabular Prediction Compared to XGBoost

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Unverified协议层的统一无法解决模型权重层面的训练偏好差异，即便采用同一套 schema 格式，模型对字段组合的内在偏好仍会因强化训练而分歧66% similar Unverified在Hugging Face、OpenAI API、Google Vertex AI等平台成熟后，调用高性能预训练模型的门槛已降至只需几行Python代码65% similar UnverifiedLLM的训练数据包含大量Web开发代码，不加限制时会自然倾向于引入npm包，而这在小程序沙箱环境中会直接导致运行失败65% similar

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