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English(EN) Turnslide: Scalable Multi-Turn Data Synthesis by Walking a Finite-State Machine

Turnslide框架为小型语言模型合成多轮数据

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员开发了Turnslide，一个用于合成多轮对话数据以改进小型语言模型（SLMs）工具调用能力的新颖框架。该自动化系统将API建模为有限状态机，通过单次LLM调用生成状态有效的工具序列。在Turnslide生成的数据上微调SLMs，与基线相比显著提高了下游准确性，以更少的token实现了更高的完整准确性。 AI

影响 这项研究可能带来更强大、更高效的用于工具使用应用的小型语言模型。

排序理由 该集群包含一篇学术论文，详细介绍了一种用于语言模型数据合成的新方法。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CL 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

Turnslide框架为小型语言模型合成多轮数据

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该集群包含一篇学术论文，详细介绍了一种用于语言模型数据合成的新方法。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CL TIER_1 English(EN) · Aaron Fainman, Gabriela Kadlecov\'a, Maciej Gryka, Bartosz Kruszczy\'nski, Usman Zafar, C\'edric Archambeau, Aaron Klein, David Salinas, Selim Nowicki, Jacek Golebiowski ·

    Turnslide：通过有限状态机行走实现可扩展的多轮数据合成

    arXiv:2610.07070v1 Announce Type: new Abstract: Small language models are inexpensive to serve and can run on private infrastructure, but base models are often not good enough at multi-turn tool calling, and fine-tuning them needs per-API data that rarely exists. Existing synthes…

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