一篇新发表在arXiv上的研究探讨了大型语言模型（LLMs）的说服性叙事性解释如何影响人类在分类任务中的决策。研究发现，虽然这些解释增加了对AI的依赖，但与单独的AI预测相比，它们并未显著提高决策准确性。此外，更具说服力的叙事可能会负面影响响应时间和辨别正确AI预测的能力，这表明在使用叙事性解释时可能存在权衡。 AI
影响 大语言模型的叙事性解释可能引入性能权衡，需要进一步研究其最佳应用方式。
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arXiv:2605.23867v1 Announce Type: cross Abstract: Large language models (LLMs) have the potential to aid and improve human decision-making in classification tasks, not only by providing fairly accurate predictions, but also in their ability to generate cogent narrative explanatio…
Large language models (LLMs) have the potential to aid and improve human decision-making in classification tasks, not only by providing fairly accurate predictions, but also in their ability to generate cogent narrative explanations of those predictions. Prior work has demonstrat…