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English(EN) SLATE: A Large-Scale Benchmark for Long-Horizon API Selection in E-commerce Tool Use

新的SLATE基准揭示了企业LLM API选择中的挑战

研究人员推出了SLATE,这是一个新的基准,旨在评估大型语言模型代理在电商环境中为复杂、长周期的任务选择和组合API的能力。与现有基准不同,SLATE使用了大约1000个API的库和一个模拟器,该模拟器可自动且可重现地衡量端到端任务的成功率。对参数量从3B到12B不等的模型的实验显示,即使是最先进的模型,成功率也仅为5.0%,这凸显了可靠的企业工具使用方面存在的重大挑战。 AI

影响 突显了当前LLM代理在复杂企业自动化和工具使用方面的显著局限性。

排序理由 该集群描述了一个用于评估LLM能力的新的学术基准。[lever_c_demoted from research: ic=1 ai=1.0]

在 Hugging Face Daily Papers 阅读 →

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

新的SLATE基准揭示了企业LLM API选择中的挑战

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该集群描述了一个用于评估LLM能力的新的学术基准。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. Hugging Face Daily Papers TIER_1 English(EN) ·

    SLATE:面向电商工具使用中长周期API选择的大规模基准测试

    Enterprises increasingly want LLM agents to automate standard operating procedures over their software stacks -- mapping each step of a procedure to the right call among thousands of internal APIs, without hand-authored step-to-API mappings. The core difficulty is API selection a…