English(EN) Prompt2Skill: Unsupervised Skill Optimization From Natural Language Instructions

新框架根据自然语言指令生成LLM技能

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-01 04:00

研究人员开发了Prompt2Skill，一个新颖的框架，旨在仅使用自然语言指令自动生成和优化大型语言模型（LLM）的技能。这种方法解决了手动创建技能的局限性，手动创建技能成本高昂且不适合特定模型。Prompt2Skill可以通过反思性编辑过程发现或合成数据集并优化技能，在开源模型和前沿模型上进行的测试表明，在问答、阅读理解、电子表格操作和数学推理等多个领域，平均性能提高了10.8%。 AI

影响该框架有望显著降低使LLM适应特定任务的成本和精力，从而可能加速其在各种应用中的部署。

排序理由该集群包含一篇学术论文，详细介绍了一种新的LLM技能优化方法。[lever_c_demoted from research: ic=1 ai=1.0]

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Newsworthiness bucket: Tool; 该集群包含一篇学术论文，详细介绍了一种新的LLM技能优化方法。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

arXiv cs.AI TIER_1 English(EN) · Bo Ni, Li Li, Ryan A. Rossi, Franck Dernoncourt, Tyler Derr · 2026-10-01 04:00

Prompt2Skill：从自然语言指令中进行无监督技能优化

arXiv:2609.38593v1 Announce Type: cross Abstract: Skills are external artifacts that Large Language Models (LLMs) consume at inference time to improve their performance on specialized domains by incorporating relevant procedural and domain knowledge. Expert-authored skills are ex…

本文如何被排名

报道来源 [1]

Prompt2Skill：从自然语言指令中进行无监督技能优化

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