**Causal Discovery in the Era of Agents**

> Recent attempts to combine large language models (LLMs) with causal discovery ask models to infer pairwise directions, propose graph structures, or inject language-model outputs as priors and constraints. These approaches promise faster analysis, but they also obscure whether a causal evidence is supported by data and assumptions or by textual associations, prompt artifacts and hallucinated mechanisms. We argue for a...

**来源信息**
- **来源**:HuggingFace Daily Papers(社区热门论文)
- **分类**:ai-products
- **发布时间**:2026-06-23 08:00(北京时间)
- **原文**:[打开原文](https://huggingface.co/papers/2606.23608)