English(EN) DSAEval: Evaluating Data Science Agents on a Wide Range of Real-World Data Science Problems

新的DSAEval基准测试AI数据科学代理

作者 PulseAugur 编辑部 · [1 个来源] · 2026-06-12 04:00

一项名为DSAEval的新基准测试已被引入，用于在真实世界问题上评估数据科学代理。该基准测试包括多模态感知、多查询交互以及跨越推理、代码和结果的多维度评估。在评估中，Claude Sonnet 4.5总体表现最佳，而MiMo-V2-Pro和GPT-5.2分别在持续时间和步长效率方面表现出色。研究还发现，多模态感知显著提高了视觉任务的性能，尽管在非结构化数据领域仍存在挑战。 AI

影响为评估AI数据科学代理建立了新标准，突出了当前的局限性和未来的研究方向。

排序理由该集群描述了一篇介绍用于评估AI代理的基准测试的新学术论文。[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 →

本文如何被排名

Signal score: 0 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 该集群描述了一篇介绍用于评估AI代理的基准测试的新学术论文。[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: 118 days old; Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

完整方法见我们的编辑标准。

报道来源 [1]

arXiv cs.AI TIER_1 English(EN) · Maojun Sun, Yifei Xie, Yue Wu, Ruijian Han, Binyan Jiang, Defeng Sun, Yancheng Yuan, Jian Huang · 2026-06-12 04:00

DSAEval：在广泛的真实世界数据科学问题上评估数据科学代理

arXiv:2601.13591v2 Announce Type: replace Abstract: Recent LLM-based data agents aim to automate data science tasks ranging from data analysis to deep learning. However, the open-ended nature of real-world data science problems, which often span multiple taxonomies and lack stand…

本文如何被排名

报道来源 [1]

DSAEval：在广泛的真实世界数据科学问题上评估数据科学代理

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