关键之处在于,大语言模型引入一种基于文本和元数据(也就是变量名)的新推理方式来实现这一目标,称之为基于知识的因果推理(knowledge-based causal reasoning),这与现有的基于数据的方法有所不同。 具体而言,大语言模型拥有迄今为止被认为只有人类才具有的能力,如使用知识生成因果图,或从自然语言中识别背景因果关系。
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whose paper “Causal Reasoning and Large Language Models: Opening a New Frontier for Causality” examines the causal capabilities of large language models (LLMs) and their implications. Kiciman and Sharma break down the study of cause and effect; recount their respective ongoin...
Kıcıman E, Ness R, Sharma A & Tan C (2023) Causal reasoning and large language models: opening a new frontier for causality.arXiv preprint arXiv:2305.00050 ADSCASPubMedPubMed CentralGoogle Scholar McCarthy M, Chen CC, McNamee RC (2018) Novelty and usefulness trade-off: cultural cog...
Large Language Models (LLMs) are leading the Generative Artificial Intelligence transformation in natural language understanding. Beyond language understanding, LLMs have demonstrated capabilities in reasoning tasks, including commonsense, logical, and mathematical reasoning. However, their proficiency in causal...
Tuebingen cause-effect pairs dataset (Original) Distinguishing cause from effect using observational data: methods and benchmarks(LLM) Causal Reasoning and Large Language Models: Opening a New Frontier for Causality https://github.com/amit-sharma/chatgpt-causality-pairs/tree/mainAbout...
Efficient Causal Graph Discovery Using Large Language Modelsarxiv.org/abs/2402.01207 方法简介 方法动机 Kıcıman et al. (2023); Choi et al. (2022); Long et al. (2023b) use pairwise queries to infer the causal relationship between 2 variables at a time. 现有的方法使用配对查询的方...
(2024 TMLR) Causal Reasoning and Large Language Models: Opening a New Frontier for Causality. Emre Kıcıman, Robert Ness, Amit Sharma, Chenhao Tan. [pdf] (2024 ACL Findings) Are LLMs Capable of Data-based Statistical and Causal Reasoning? Benchmarking Advanced Quantitative Reasoning with...
“One of the challenges with today’s large language models and generative AI in general is that it’s based on a correlative design,” he said. “It basically swims in a large data lake and correlates to identify patterns, associations, anomalies, and they can then predict or forecast or...
Large Language Models (LLMs) have emerged as powerful tools in tackling adiversearray of complex problems, ranging from text generation (Dathathri et al., 2019; Li et al., 2022; Zhang et al., 2023) to storytelling (See et al., 2019; Nichols et al., 2020; Franceschelli and Musolesi...