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Unverified75% confidenceFactExact time

添加行号后模型能更准确地定位代码位置，减少行号幻觉

1

Sources

75%

Confidence

Long-term

Relevance

4/12/2026

First Seen

Sources

Node.js实现AI Agent：用Function Call替代提示词工程

bilibili力气强4/12/2026

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大模型幻觉concept

Related Claims

Unverified结构清晰、语义明确的内容便于LLM解析并能有效减少模型产生幻觉的风险77% similar Unverified领域特化的 Embedding 模型（如代码领域的 CodeBERT）往往比通用模型在垂直场景下具有更高的语义检索精度72% similar Unverified将逻辑固化为可复用代码比每次让大模型重新推理更快且节省Token，具有确定性和可审计性72% similar Verified填充式训练（Fill-in-the-Middle, FIM）给定代码前缀和后缀让模型预测中间缺失部分，更贴近实际开发中的代码补全场景70% similar Unverified代码数据的加入被证明能显著提升模型的逻辑推理能力，即使在非代码任务上，这一现象被称为代码数据的外溢效应70% similar

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