English(EN) Shaer: Controlled Arabic Poetry Generation with Meter Subform and Semantic Conditioning

新AI框架Shaer生成受控阿拉伯诗歌

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-08 04:00

研究人员开发了Shaer，一个用于生成古典阿拉伯诗歌的新框架，可同时控制语义、格律子类和诗歌长度。该系统使用QLoRA微调适配了Yehia-7B模型，并在包含超过116,000首诗歌的丰富语料库上进行了训练。Shaer在遵守诗歌约束方面表现出高精度，基础格律准确率超过95%，格律子类准确率超过91%，显著优于其基础模型和其他评估系统。生成的诗歌还经过了LLM评委和人类评估者的语义和文学质量评估，未在训练数据中发现完全相同的副本。 AI

影响推动了在专业语言和创意领域的受控文本生成能力。

排序理由这是一篇研究论文，详细介绍了一个用于特定NLP任务的新模型和数据集。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CL 阅读 →

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arXiv cs.CL TIER_1 English(EN) · Ahmad Abbas, Tamara Fakih, Nour Fakih, Ammar Mohanna · 2026-10-08 04:00

Shaer：受控阿拉伯诗歌生成，包含格律子形式和语义条件

arXiv:2610.09756v1 Announce Type: new Abstract: Classical Arabic poetry generation requires simultaneously satisfying semantic, linguistic, and fine-grained prosodic constraints. Existing systems typically control broad poetic attributes but do not jointly model semantic intent, …

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Shaer：受控阿拉伯诗歌生成，包含格律子形式和语义条件

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