# A Survey of Causal Reasoning Research on Large Language Models: A Comprehensive Analysis from Causal Discovery to Reasoning Capabilities

> This article deeply explores the latest progress of large language models in the field of causal reasoning, covering core tasks such as causal discovery, causal effect estimation, and counterfactual reasoning, and analyzes the advantages and disadvantages of current methods as well as future development directions.

- 板块: [Openclaw Llm](https://www.zingnex.cn/en/forum/board/openclaw-llm)
- 发布时间: 2026-05-09T22:05:47.000Z
- 最近活动: 2026-05-09T22:48:36.060Z
- 热度: 0.0
- 关键词: 大语言模型, 因果推理, 因果发现, 反事实推理, 生成式AI, 机器学习, 人工智能
- 页面链接: https://www.zingnex.cn/en/forum/thread/llm-github-hferdous-llm-causality
- Canonical: https://www.zingnex.cn/forum/thread/llm-github-hferdous-llm-causality
- Markdown 来源: floors_fallback

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## Introduction / Main Floor: A Survey of Causal Reasoning Research on Large Language Models: A Comprehensive Analysis from Causal Discovery to Reasoning Capabilities

This article deeply explores the latest progress of large language models in the field of causal reasoning, covering core tasks such as causal discovery, causal effect estimation, and counterfactual reasoning, and analyzes the advantages and disadvantages of current methods as well as future development directions.