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。
[1] Zhu, Yutao, et al. "Large language models for informationretrieval: A survey." arxiv preprint arxiv:2308.07107 (2023). [2] Zhang, Dejiao, et al. "Code representation learning at scale." arXiv preprint arXiv:2402.01935 (2024). [3] Feng, Zhangyin, et al. "Codebert: A pre-trai...
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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...
Building on this, notably large language models (LLMs) such as GPT-3, GPT-4, and Claude-2, which demonstrate profound capabilities to comprehend and infer causality from natural language texts, a promising path has emerged to extract causal knowledge from vast textual data (Binz and Schulz,202...
Emre, Amit, let’s jump right in. I’m so excited to speak with you both about causal reasoning. And this is such a timely conversation because we’re living through the rise of generative pretrained models, specifically large language models. And when I’ve engaged with GP...
Language Models as Causal Effect GeneratorsLucius E.J. BynumCenter for Data ScienceNew York Universitylucius@nyu.eduKyunghyun ChoCenter for Data Science, New York UniversityPrescient Design, GenentechAbstractWe present a framework for large language model (LLM) based data generationwith controllable caus...
BIGbench-tellmewhy Beyond the Imitation Game: Quantifying and Extrapolating the Capabilities of Language Models. https://github.com/google/BIG-bench/tree/main/bigbench/benchmark_tasks/tellmewhy Causal Chains Causal Parrots: Large Language Models May Talk Causality But Are Not Causal https://github....
(2024 arXiv) Causal Inference with Large Language Model: A Survey. Jing Ma. [pdf] (2024 arXiv) Large Language Models and Causal Inference in Collaboration: A Comprehensive Survey. Xiaoyu Liu, Paiheng Xu, Junda Wu, Jiaxin Yuan, Yifan Yang, Yuhang Zhou, Fuxiao Liu, Tianrui Guan, Haoliang...
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...