一篇 arXiv 上的新论文回顾了自然语言生成 (NLG) 评估方法的演变。它追溯了从早期的语言学联系到当前以机器学习为中心的方法的转变，并强调了 LLM-即裁判等技术的出现。该论文预测，随着 NLG 技术的普及，影响、定性方面和安全评估将变得更加重要。 AI
影响 强调了随着 NLG 技术日益融入日常生活，安全和定性评估的重要性日益增加。
排序理由 该集群包含一篇讨论 NLG 评估研究趋势的学术论文。
AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →
arXiv:2605.23715v1 Announce Type: new Abstract: Natural Language Generation (NLG) evaluation has changed dramatically since 1990, and will continue to evolve in the future. In 1990, when NLG had close ties to linguistics, there was very little formal experimental evaluation in th…
Natural Language Generation (NLG) evaluation has changed dramatically since 1990, and will continue to evolve in the future. In 1990, when NLG had close ties to linguistics, there was very little formal experimental evaluation in the modern sense. In 2026, when NLG is closely lin…