DSWorld: A Data Science World Model for Efficient Autonomous Agents
- 类型：arxiv
- 标识：2607.15901
- 链接：https://arxiv.org/abs/2607.15901
- 主分类：agent
- 形态：method
- 被引：0
- 被引来源：Semantic Scholar
- S2被引：0
- 影响力被引：0
- TLDR：The concept of Data Science World Model is introduced, which model the data science execution environment by predicting environment state transitions conditioned on current workflow states and candidate operations and proposes DSWorld, a practical framework that combines structured state construction, cost-aware routing, lightweight real execution, and an LLM-based simulator for expensive operations.
- 待LLM分类：否
- 标题中文：DSWorld：用于高效自主Agent的数据科学世界模型
- TLDR中文：提出数据科学世界模型概念，通过基于当前工作流状态和候选操作预测环境状态转移来建模数据科学执行环境；提出DSWorld框架，结合结构化状态构建、成本感知路由、轻量级真实执行以及基于LLM的昂贵操作模拟器。
- 来源文件：
- /inbox/tom/_candidates/2026-07-20-agent-rag-longcontext-candidates.json
- [S2 enrich]