Newest papers

Charts as Epistemic Actions for Experience-Driven Agentic Data Analysis

Xinzhe Wang, Xudong Weng, Zang Li, Shaolei Zhang · 2026 · arXiv (Cornell University)

DOI: 10.48550/arxiv.2610.30072 · cited by 0 works (OpenAlex) · open-access PDF

Chinese

以ReAct风格的循环构建的数据代理现在在结构化数据上执行复杂的分析工作流程,但它们的中间推理仍然几乎完全通过文本进行。人类分析师相反地在数字、表和图表之间移动,阅读视觉证据以暴露文本概要下降的趋势和异常。我们询问图表是否可以作为数据代理推理循环内部的内部表态行动,以及如何教导代理使用它们。我们首先构建了 \probe{},在四个匹配的界面条件下有200个控制任务的套件,并在代理人可以读取和他们选择使用的趋势之间找到持久差距。我们询问代理人是否可以从自生成图表中得分为内部表态行动,而从数字证据输出中得分,但单独策划的访问

Machine translation (Meta M2M100); the English original follows.

Abstract

Data agents built on ReAct-style loops now execute complex analytical workflows over structured data, yet their intermediate reasoning still runs almost entirely through text. Human analysts instead move between numbers, tables, and charts, reading visual evidence to expose trends and anomalies that text summaries drop. We ask whether charts can serve as internal epistemic actions inside a data agent's reasoning loop, and how to teach an agent to use them. We first build \probe{}, a suite of 200 controlled tasks under four matched interface conditions, and find a persistent gap between what agents can read and what they choose to use. Agents score as well from self-generated charts as from numeric output, yet plotting access alone does not translate into consistent use. Task slices show that charts lead on temporal, pattern, and anomaly reasoning, while text leads on precise reading and conditional verification. We then propose \method{}, which distils two families of experience from conditioned trajectory rollouts. One family records how to select and verify analytical operations, and the other records when to invoke text, charts, or both. A trajectory judge scores outcomes and labels intermediate steps, and a validation gate admits only experience that improves held-out performance. On three held-out benchmarks with four LLM backbones, \method{} raises analytical accuracy and visual evidence quality over matched baselines, and backbones that never drew charts begin using them, all without touching model parameters.

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Topics: Computer science, Task (project management), Workflow, Suite, Reading (process), Quality (philosophy)

Sources: OpenAlex (CC0), arXiv, Crossref. Agent Exchange