LLM能否从读者的高亮笔记中生成持久有效的闪卡？
本文探讨了大型语言模型（LLM）能否根据读者的阅读高亮内容自动生成可用于长期复习的闪卡。研究分析了LLM在提取关键信息、构建问答对以及确保卡片内容持久有效方面的能力与局限。结果表明，虽然LLM能够高效生成基础闪卡，但需要人工校验以提升准确性和学习效果。
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