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Integrating Large Language Models in Causal Discovery: A Statistical Causal Approach

Integrating Large Language Models in Causal Discovery: A Statistical Causal Approach

2 February 2024
Masayuki Takayama
Tadahisa Okuda
Thong Pham
T. Ikenoue
Shingo Fukuma
Shohei Shimizu
Akiyoshi Sannai
ArXivPDFHTML

Papers citing "Integrating Large Language Models in Causal Discovery: A Statistical Causal Approach"

15 / 15 papers shown
Title
Can LLMs Leverage Observational Data? Towards Data-Driven Causal Discovery with LLMs
Can LLMs Leverage Observational Data? Towards Data-Driven Causal Discovery with LLMs
Yuni Susanti
Michael Färber
16
0
0
15 Apr 2025
Can LLMs Assist Expert Elicitation for Probabilistic Causal Modeling?
Can LLMs Assist Expert Elicitation for Probabilistic Causal Modeling?
Olha Shaposhnyk
Daria Zahorska
Svetlana Yanushkevich
22
0
0
14 Apr 2025
Fairness-Driven LLM-based Causal Discovery with Active Learning and Dynamic Scoring
Fairness-Driven LLM-based Causal Discovery with Active Learning and Dynamic Scoring
Khadija Zanna
Akane Sano
31
0
0
21 Mar 2025
Exploring Multi-Modal Integration with Tool-Augmented LLM Agents for
  Precise Causal Discovery
Exploring Multi-Modal Integration with Tool-Augmented LLM Agents for Precise Causal Discovery
ChengAo Shen
Z. Chen
Dongsheng Luo
Dongkuan Xu
Haifeng Chen
Jingchao Ni
78
3
0
18 Dec 2024
Causal Inference with Large Language Model: A Survey
Causal Inference with Large Language Model: A Survey
Jing Ma
CML
LRM
30
8
0
15 Sep 2024
From Pre-training Corpora to Large Language Models: What Factors
  Influence LLM Performance in Causal Discovery Tasks?
From Pre-training Corpora to Large Language Models: What Factors Influence LLM Performance in Causal Discovery Tasks?
Tao Feng
Lizhen Qu
Niket Tandon
Zhuang Li
Xiaoxi Kang
Gholamreza Haffari
LRM
23
4
0
29 Jul 2024
Using GPT-4 to guide causal machine learning
Using GPT-4 to guide causal machine learning
Anthony C. Constantinou
N. K. Kitson
Alessio Zanga
CML
21
0
0
26 Jul 2024
ALCM: Autonomous LLM-Augmented Causal Discovery Framework
ALCM: Autonomous LLM-Augmented Causal Discovery Framework
Elahe Khatibi
Mahyar Abbasian
Zhongqi Yang
Iman Azimi
Amir M. Rahmani
50
11
0
02 May 2024
Evaluating Interventional Reasoning Capabilities of Large Language
  Models
Evaluating Interventional Reasoning Capabilities of Large Language Models
Tejas Kasetty
Divyat Mahajan
Gintare Karolina Dziugaite
Alexandre Drouin
Dhanya Sridhar
LRM
ELM
27
5
0
08 Apr 2024
Causal Graph Discovery with Retrieval-Augmented Generation based Large
  Language Models
Causal Graph Discovery with Retrieval-Augmented Generation based Large Language Models
Yuzhe Zhang
Yipeng Zhang
Yidong Gan
Lina Yao
Chen Wang
23
10
0
23 Feb 2024
Discovery of the Hidden World with Large Language Models
Discovery of the Hidden World with Large Language Models
Chenxi Liu
Yongqiang Chen
Tongliang Liu
Mingming Gong
James Cheng
Bo Han
Kun Zhang
CML
41
1
0
06 Feb 2024
Causal Structure Learning Supervised by Large Language Model
Causal Structure Learning Supervised by Large Language Model
Taiyu Ban
Lyuzhou Chen
Derui Lyu
Xiangyu Wang
Huanhuan Chen
60
12
0
20 Nov 2023
Scalable Counterfactual Distribution Estimation in Multivariate Causal
  Models
Scalable Counterfactual Distribution Estimation in Multivariate Causal Models
Thong Pham
Shohei Shimizu
H. Hino
Tam Le
36
4
0
02 Nov 2023
Large Language Models are Zero-Shot Reasoners
Large Language Models are Zero-Shot Reasoners
Takeshi Kojima
S. Gu
Machel Reid
Yutaka Matsuo
Yusuke Iwasawa
ReLM
LRM
288
2,712
0
24 May 2022
Optimal transport for causal discovery
Optimal transport for causal discovery
Ruibo Tu
Kun Zhang
Hedvig Kjellström
Cheng Zhang
64
14
0
23 Jan 2022
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