New benchmark evaluates LLMs on Urdu idioms

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-04 04:00

开发了一个新的基准数据集，用于评估大型语言模型（LLMs）在处理乌尔都语习语方面的能力。该数据集包含4,000个经过人工验证的习语句子对，同时包含本地乌尔都语脚本和罗马化乌尔都语。研究人员发现，尽管在理解和翻译比喻性语言方面，当前的LLMs表现优于传统的神经机器翻译系统，但在罗马化乌尔都语不一致的正字法方面仍存在挑战。 AI

影响为评估LLMs在低资源语言上的表现建立了一个基准，可能指导未来多语言自然语言处理的发展。

排序理由该集群包含一篇学术论文，详细介绍了用于评估LLMs在特定语言任务上表现的新基准。[lever_c_demoted from research: ic=1 ai=1.0]

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New benchmark evaluates LLMs on Urdu idioms

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arXiv cs.CL TIER_1 (CA) · Muhammad Farmal Khan, Mousumi Akter · 2026-09-04 04:00

Evaluating Large Language Models on Urdu Idioms

arXiv:2510.17460v2 Announce Type: replace Abstract: Idioms remain a persistent challenge in natural language processing due to their figurative and culturally grounded meanings, which distinguish them from literal expressions. Although recent advances in large language models (LL…

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Evaluating Large Language Models on Urdu Idioms

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