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English(EN) UserSWE: Evaluating Coding Agents in Multi-Turn Conversations with Dynamic Users

新的UserSWE基准揭示编码代理的性能随交互轮次而变化

作者 PulseAugur 编辑部 · [1 个来源] ·

一个名为UserSWE的新基准已被开发出来，用于评估编码AI代理在多轮对话场景中的有效性。与以往一次性提出问题的基准不同，UserSWE模拟了动态用户交互，并在每一步提供基于执行的判决。这种方法旨在更好地反映现实世界的bug修复过程。对十一个代理的评估表明，性能排名会根据允许的交互轮次数量而显著变化，其中Claude Fable 5.1在单轮任务中表现出色，而GPT-6-Astra在八轮任务中表现最佳。 AI

影响 强调了对编码代理进行交互式评估的必要性，表明当前的基准可能无法准确反映其在现实世界中的效用。

排序理由 该集群包含一篇介绍AI代理评估新基准的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 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UserSWE基准揭示编码代理的性能随交互轮次而变化

本文如何被排名

Signal score
5 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
该集群包含一篇介绍AI代理评估新基准的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
paper, product
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
Same-day
Cluster formed today. Ranking reflects the current source set at time of score.

完整方法见我们的编辑标准。

报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Zhan-Yu Wu, Ji Luo, Alyssa Wu, Junjielong Xu, Richeng Xuan, Zhichao Hu, Chongming Gao, Xinting Hu ·

    UserSWE: Evaluating Coding Agents in Multi-Turn Conversations with Dynamic Users

    arXiv:2610.29822v1 Announce Type: new Abstract: As coding agents become more capable, developers increasingly use them to fix bugs through multi-turn interactions. Existing benchmarks do not adequately cover this scenario. Most present a complete issue report in a single turn wit…

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