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English(EN) Trace-to-Architecture: Capability Bottleneck Diagnosis for Harness Revision

新框架T2A通过诊断Harness故障辅助LLM代理改进

研究人员开发了一个名为Trace-to-Architecture (T2A) 的新框架,以帮助改进大型语言模型 (LLM) 代理。T2A利用执行轨迹来识别代理Harness中在发生故障时需要修改的特定组件。通过利用执行证据诊断故障、修改Harness组件,然后验证改进,T2A在各种任务代理中展现了显著的提升,优于现有基线。 AI

影响 该框架通过提供一种系统化的方法来诊断和修复故障,有望加速LLM代理的开发和完善。

排序理由 该集群包含一篇详细介绍LLM代理新框架的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

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新框架T2A通过诊断Harness故障辅助LLM代理改进

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该集群包含一篇详细介绍LLM代理新框架的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Wenfeng Wang, Jianrui Shi, Mingang Guo, Jiayuan Ma, Yuqi Lu, Jiajun Sun, Guojiang Zhao, Jing Li ·

    Trace-to-Architecture: 针对线束修订的能力瓶颈诊断

    arXiv:2610.16725v1 Announce Type: new Abstract: Improving an LLM agent requires knowing what to change when it fails. Similar failures can require different fixes, and resolving one problem can expose another. We introduce Trace-to-Architecture (T2A), a framework that uses execut…