English(EN) Co-Design Bench: Multimodal Collaborative Coding Evaluation for Agentic Models

新基准评估 AI 编码代理处理多模态用户请求的能力

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-27 04:00

研究人员推出了 Co-Design Bench，这是一个旨在评估编码代理在满足多模态用户应用程序修订请求方面能力的全新基准。该基准包含 273 个源自真实用户编码会话的任务，分为两个赛道：多模态编辑和仓库编辑。这些任务使用专家定义的验收标准，评估代理在基础理解、UI 转换和功能实现方面的能力。初步评估表明，即使是表现最好的模型也只能完全满足一小部分任务，这凸显了在代理编码中，部分需求满足与完全任务成功之间的差距。 AI

影响该基准有望推动 AI 代理理解和执行用户复杂、多模态编码请求的能力的提升。

排序理由该条目描述了一个用于评估 AI 模型的新学术基准。[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 →

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Signal score: 9 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 该条目描述了一个用于评估 AI 模型的新学术基准。[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]

arXiv cs.AI TIER_1 English(EN) · Xilin Wei, Shengyuan Ding, Xinyu Fang, Tiancheng Gu, Yuchi Wang, Zhixun Li, Ziyu Liu, Yuhang Zang, Weixiang Yu, Cheng Lu, Chonggao Sun, Tong Zhou, Dahua Lin, Hang Zhang, Shuai Bai, Dayiheng Liu · 2026-10-27 04:00

Co-Design Bench：面向Agentic模型的模态协同编码评估

arXiv:2610.35138v1 Announce Type: new Abstract: Evaluating human-AI co-design requires testing whether coding agents can translate real users' multimodal requests into working application revisions. We introduce Co-Design Bench, a reference-free benchmark of 273 tasks curated fro…

本文如何被排名

报道来源 [1]

Co-Design Bench：面向Agentic模型的模态协同编码评估

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