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Understanding Causality with Large Language Models: Feasibility and
  Opportunities

Understanding Causality with Large Language Models: Feasibility and Opportunities

11 April 2023
Cheng Zhang
Stefan Bauer
Paul N. Bennett
Jian-chuan Gao
Wenbo Gong
Agrin Hilmkil
Joel Jennings
Chao Ma
Tom Minka
Nick Pawlowski
James Vaughan
    LRM
    ELM
ArXivPDFHTML

Papers citing "Understanding Causality with Large Language Models: Feasibility and Opportunities"

42 / 42 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
31
0
0
15 Apr 2025
BiasCause: Evaluate Socially Biased Causal Reasoning of Large Language Models
BiasCause: Evaluate Socially Biased Causal Reasoning of Large Language Models
Tian Xie
Tongxin Yin
Vaishakh Keshava
Xueru Zhang
Siddhartha Reddy Jonnalagadda
ELM
LRM
57
0
0
08 Apr 2025
Can Large Language Models Help Experimental Design for Causal Discovery?
Junyi Li
Yongqiang Chen
Chenxi Liu
Qianyi Cai
Tongliang Liu
Bo Han
Kun Zhang
Hui Xiong
CML
65
0
0
03 Mar 2025
Prompting Strategies for Enabling Large Language Models to Infer
  Causation from Correlation
Prompting Strategies for Enabling Large Language Models to Infer Causation from Correlation
Eleni Sgouritsa
Virginia Aglietti
Yee Whye Teh
Arnaud Doucet
A. Gretton
Silvia Chiappa
ReLM
LRM
82
0
0
18 Dec 2024
COLD: Causal reasOning in cLosed Daily activities
COLD: Causal reasOning in cLosed Daily activities
Abhinav Joshi
A. Ahmad
Ashutosh Modi
LRM
ReLM
74
1
0
29 Nov 2024
Failure Modes of LLMs for Causal Reasoning on Narratives
Failure Modes of LLMs for Causal Reasoning on Narratives
Khurram Yamin
Shantanu Gupta
Gaurav R. Ghosal
Zachary Chase Lipton
Bryan Wilder
LRM
34
0
0
31 Oct 2024
Estimating Causal Effects of Text Interventions Leveraging LLMs
Estimating Causal Effects of Text Interventions Leveraging LLMs
Siyi Guo
Myrl G. Marmarelis
Fred Morstatter
Kristina Lerman
CML
137
0
0
28 Oct 2024
Causality for Large Language Models
Causality for Large Language Models
Anpeng Wu
Kun Kuang
Minqin Zhu
Yingrong Wang
Yujia Zheng
Kairong Han
B. Li
Guangyi Chen
Fei Wu
Kun Zhang
LRM
46
7
0
20 Oct 2024
DPLM-2: A Multimodal Diffusion Protein Language Model
DPLM-2: A Multimodal Diffusion Protein Language Model
X. Wang
Zaixiang Zheng
Fei Ye
Dongyu Xue
Shujian Huang
Quanquan Gu
25
13
0
17 Oct 2024
Do LLMs Have the Generalization Ability in Conducting Causal Inference?
Do LLMs Have the Generalization Ability in Conducting Causal Inference?
Chen Wang
Dongming Zhao
Bo Wang
Ruifang He
Yuexian Hou
ELM
27
0
0
15 Oct 2024
Reasoning Elicitation in Language Models via Counterfactual Feedback
Reasoning Elicitation in Language Models via Counterfactual Feedback
Alihan Hüyük
Xinnuo Xu
Jacqueline Maasch
Aditya V. Nori
Javier González
ReLM
LRM
134
1
0
02 Oct 2024
CHECKWHY: Causal Fact Verification via Argument Structure
CHECKWHY: Causal Fact Verification via Argument Structure
Jiasheng Si
Yibo Zhao
Yingjie Zhu
Haiyang Zhu
Wenpeng Lu
Deyu Zhou
CML
HILM
LRM
40
1
0
20 Aug 2024
Knowledge Graph Structure as Prompt: Improving Small Language Models
  Capabilities for Knowledge-based Causal Discovery
Knowledge Graph Structure as Prompt: Improving Small Language Models Capabilities for Knowledge-based Causal Discovery
Yuni Susanti
Michael Färber
34
3
0
26 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
31
1
0
26 Jul 2024
Latent Causal Probing: A Formal Perspective on Probing with Causal
  Models of Data
Latent Causal Probing: A Formal Perspective on Probing with Causal Models of Data
Charles Jin
Martin Rinard
32
1
0
18 Jul 2024
A Critical Review of Causal Reasoning Benchmarks for Large Language
  Models
A Critical Review of Causal Reasoning Benchmarks for Large Language Models
Linying Yang
Vik Shirvaikar
Oscar Clivio
Fabian Falck
ELM
LRM
47
4
0
10 Jul 2024
CELLO: Causal Evaluation of Large Vision-Language Models
CELLO: Causal Evaluation of Large Vision-Language Models
Meiqi Chen
Bo Peng
Yan Zhang
Chaochao Lu
LRM
ELM
39
0
0
27 Jun 2024
Quriosity: Analyzing Human Questioning Behavior and Causal Inquiry through Curiosity-Driven Queries
Quriosity: Analyzing Human Questioning Behavior and Causal Inquiry through Curiosity-Driven Queries
Roberto Ceraolo
Dmitrii Kharlapenko
Amélie Reymond
Rada Mihalcea
Mrinmaya Sachan
Bernhard Schölkopf
Zhijing Jin
Zhijing Jin
CML
32
2
0
30 May 2024
CausalBench: A Comprehensive Benchmark for Causal Learning Capability of
  Large Language Models
CausalBench: A Comprehensive Benchmark for Causal Learning Capability of Large Language Models
Yu Zhou
Xingyu Wu
Beichen Huang
Jibin Wu
Liang Feng
Kay Chen Tan
ELM
CML
42
2
0
09 Apr 2024
Self-Labeling in Multivariate Causality and Quantification for Adaptive
  Machine Learning
Self-Labeling in Multivariate Causality and Quantification for Adaptive Machine Learning
Yutian Ren
A. Yen
G. P. Li
CML
48
0
0
08 Apr 2024
Cause and Effect: Can Large Language Models Truly Understand Causality?
Cause and Effect: Can Large Language Models Truly Understand Causality?
Swagata Ashwani
Kshiteesh Hegde
Nishith Reddy Mannuru
Mayank Jindal
Dushyant Singh Sengar
Krishna Chaitanya Rao Kathala
Dishant Banga
Vinija Jain
Aman Chadha
LRM
40
18
0
28 Feb 2024
Limits of Transformer Language Models on Learning to Compose Algorithms
Limits of Transformer Language Models on Learning to Compose Algorithms
Jonathan Thomm
Aleksandar Terzić
Giacomo Camposampiero
Michael Hersche
Bernhard Schölkopf
Abbas Rahimi
39
3
0
08 Feb 2024
The Essential Role of Causality in Foundation World Models for Embodied
  AI
The Essential Role of Causality in Foundation World Models for Embodied AI
Tarun Gupta
Wenbo Gong
Chao Ma
Nick Pawlowski
Agrin Hilmkil
...
Jianfeng Gao
Stefan Bauer
Danica Kragic
Bernhard Schölkopf
Cheng Zhang
30
15
0
06 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
65
10
0
06 Feb 2024
Zero-shot Causal Graph Extrapolation from Text via LLMs
Zero-shot Causal Graph Extrapolation from Text via LLMs
Alessandro Antonucci
Gregorio Piqué
Marco Zaffalon
14
13
0
22 Dec 2023
CLadder: Assessing Causal Reasoning in Language Models
CLadder: Assessing Causal Reasoning in Language Models
Zhijing Jin
Yuen Chen
Felix Leeb
Luigi Gresele
Ojasv Kamal
...
Kevin Blin
Fernando Gonzalez Adauto
Max Kleiman-Weiner
Mrinmaya Sachan
Bernhard Schölkopf
ReLM
ELM
LRM
43
62
0
07 Dec 2023
Applying Large Language Models for Causal Structure Learning in Non
  Small Cell Lung Cancer
Applying Large Language Models for Causal Structure Learning in Non Small Cell Lung Cancer
Narmada Naik
Ayush Khandelwal
Mohit Joshi
Madhusudan Atre
Hollis Wright
...
Giridhar Mamidipudi
Ganapati Srinivasa
Carlo Bifulco
B. Piening
Kevin Matlock
115
11
0
13 Nov 2023
CRAB: Assessing the Strength of Causal Relationships Between Real-world
  Events
CRAB: Assessing the Strength of Causal Relationships Between Real-world Events
Angelika Romanou
Syrielle Montariol
Debjit Paul
Leo Laugier
Karl Aberer
Antoine Bosselut
NAI
18
19
0
07 Nov 2023
Learned Causal Method Prediction
Learned Causal Method Prediction
Shantanu Gupta
Cheng Zhang
Agrin Hilmkil
OOD
38
2
0
07 Nov 2023
An Interdisciplinary Outlook on Large Language Models for Scientific
  Research
An Interdisciplinary Outlook on Large Language Models for Scientific Research
James Boyko
Joseph Cohen
Nathan Fox
Maria Han Veiga
Jennifer I-Hsiu Li
...
Andreas H. Rauch
Kenneth N. Reid
Soumi Tribedi
Anastasia Visheratina
Xin Xie
36
17
0
03 Nov 2023
The Mystery of In-Context Learning: A Comprehensive Survey on
  Interpretation and Analysis
The Mystery of In-Context Learning: A Comprehensive Survey on Interpretation and Analysis
Yuxiang Zhou
Jiazheng Li
Yanzheng Xiang
Hanqi Yan
Lin Gui
Yulan He
22
14
0
01 Nov 2023
Large Language Models are Temporal and Causal Reasoners for Video
  Question Answering
Large Language Models are Temporal and Causal Reasoners for Video Question Answering
Dohwan Ko
Ji Soo Lee
Wooyoung Kang
Byungseok Roh
Hyunwoo J. Kim
LRM
33
31
0
24 Oct 2023
Towards Causal Foundation Model: on Duality between Causal Inference and
  Attention
Towards Causal Foundation Model: on Duality between Causal Inference and Attention
Jiaqi Zhang
Joel Jennings
Agrin Hilmkil
Nick Pawlowski
Cheng Zhang
Chao Ma
CML
54
13
0
01 Oct 2023
Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning
Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning
Jiasheng Ye
Zaixiang Zheng
Yu Bao
Lihua Qian
Quanquan Gu
DiffM
52
14
0
23 Aug 2023
GPT-Based Models Meet Simulation: How to Efficiently Use Large-Scale
  Pre-Trained Language Models Across Simulation Tasks
GPT-Based Models Meet Simulation: How to Efficiently Use Large-Scale Pre-Trained Language Models Across Simulation Tasks
Philippe J. Giabbanelli
LLMAG
ALM
AI4CE
20
13
0
21 Jun 2023
Building Resilient SMEs: Harnessing Large Language Models for Cyber
  Security in Australia
Building Resilient SMEs: Harnessing Large Language Models for Cyber Security in Australia
Benjamin Kereopa-Yorke
10
8
0
05 Jun 2023
Causal Reasoning and Large Language Models: Opening a New Frontier for
  Causality
Causal Reasoning and Large Language Models: Opening a New Frontier for Causality
Emre Kıcıman
Robert Osazuwa Ness
Amit Sharma
Chenhao Tan
LRM
ELM
24
259
0
28 Apr 2023
Sparks of Artificial General Intelligence: Early experiments with GPT-4
Sparks of Artificial General Intelligence: Early experiments with GPT-4
Sébastien Bubeck
Varun Chandrasekaran
Ronen Eldan
J. Gehrke
Eric Horvitz
...
Scott M. Lundberg
Harsha Nori
Hamid Palangi
Marco Tulio Ribeiro
Yi Zhang
ELM
AI4MH
AI4CE
ALM
286
2,232
0
22 Mar 2023
Emerging Synergies in Causality and Deep Generative Models: A Survey
Emerging Synergies in Causality and Deep Generative Models: A Survey
Guanglin Zhou
Shaoan Xie
Guang-Yuan Hao
Shiming Chen
Biwei Huang
Xiwei Xu
Chen Wang
Liming Zhu
Lina Yao
Kun Zhang
AI4CE
50
11
0
29 Jan 2023
Deep Causal Learning: Representation, Discovery and Inference
Deep Causal Learning: Representation, Discovery and Inference
Zizhen Deng
Xiaolong Zheng
Hu Tian
D. Zeng
CML
BDL
31
11
0
07 Nov 2022
Complexity-Based Prompting for Multi-Step Reasoning
Complexity-Based Prompting for Multi-Step Reasoning
Yao Fu
Hao-Chun Peng
Ashish Sabharwal
Peter Clark
Tushar Khot
ReLM
LRM
162
412
0
03 Oct 2022
Training language models to follow instructions with human feedback
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
311
11,915
0
04 Mar 2022
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