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When Should LLMs Be Less Specific? Selective Abstraction for Reliable Long-Form Text Generation
当大模型没把握时，与其放弃回答，不如学会“模糊处理”——一种选择性抽象策略提升长文本生成可靠性
arXiv:2602.11908v3 Announce Type: replace Abstract: LLMs are widely used, yet they remain prone to factual errors that erode user trust and limit adop…