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Causal Reasoning and Large Language Models: Opening a New Frontier for
  Causality

Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

28 April 2023
Emre Kıcıman
Robert Osazuwa Ness
Amit Sharma
Chenhao Tan
    LRM
    ELM
ArXivPDFHTML

Papers citing "Causal Reasoning and Large Language Models: Opening a New Frontier for Causality"

37 / 37 papers shown
Title
CausalRAG: Integrating Causal Graphs into Retrieval-Augmented Generation
CausalRAG: Integrating Causal Graphs into Retrieval-Augmented Generation
Nengbo Wang
Xiaotian Han
Jagdip Singh
Jing Ma
V. Chaudhary
55
0
0
25 Mar 2025
Causality Is Key to Understand and Balance Multiple Goals in Trustworthy ML and Foundation Models
Causality Is Key to Understand and Balance Multiple Goals in Trustworthy ML and Foundation Models
Ruta Binkyte
Ivaxi Sheth
Zhijing Jin
Mohammad Havaei
Bernhard Schölkopf
Mario Fritz
67
0
0
28 Feb 2025
BIG-Bench Extra Hard
BIG-Bench Extra Hard
Mehran Kazemi
Bahare Fatemi
Hritik Bansal
John Palowitch
Chrysovalantis Anastasiou
...
Kate Olszewska
Yi Tay
Vinh Q. Tran
Quoc V. Le
Orhan Firat
ELM
LRM
117
4
0
26 Feb 2025
IGDA: Interactive Graph Discovery through Large Language Model Agents
IGDA: Interactive Graph Discovery through Large Language Model Agents
Alex Havrilla
David Alvarez-Melis
Nicolò Fusi
AI4CE
40
0
0
24 Feb 2025
Do Large Language Models Reason Causally Like Us? Even Better?
Do Large Language Models Reason Causally Like Us? Even Better?
Hanna M. Dettki
Brenden M. Lake
Charley M. Wu
Bob Rehder
ReLM
ELM
LRM
99
0
0
14 Feb 2025
Enhancing Patient-Centric Communication: Leveraging LLMs to Simulate Patient Perspectives
Enhancing Patient-Centric Communication: Leveraging LLMs to Simulate Patient Perspectives
Xinyao Ma
Rui Zhu
Zihao Wang
Jingwei Xiong
Qingyu Chen
Haixu Tang
L. Jean Camp
Lucila Ohno-Machado
LM&MA
39
0
0
12 Jan 2025
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
61
0
0
28 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
65
1
0
02 Oct 2024
Counterfactual Token Generation in Large Language Models
Counterfactual Token Generation in Large Language Models
Ivi Chatzi
N. C. Benz
Eleni Straitouri
Stratis Tsirtsis
Manuel Gomez Rodriguez
LRM
34
3
0
25 Sep 2024
Causal Inference with Large Language Model: A Survey
Causal Inference with Large Language Model: A Survey
Jing Ma
CML
LRM
60
8
0
15 Sep 2024
Large Language Models and Cognitive Science: A Comprehensive Review of
  Similarities, Differences, and Challenges
Large Language Models and Cognitive Science: A Comprehensive Review of Similarities, Differences, and Challenges
Qian Niu
Junyu Liu
Ziqian Bi
Pohsun Feng
Benji Peng
...
Ming Li
Lawrence KQ Yan
Yichao Zhang
Caitlyn Heqi Yin
Cheng Fei
35
13
0
04 Sep 2024
Large Language Models as Co-Pilots for Causal Inference in Medical
  Studies
Large Language Models as Co-Pilots for Causal Inference in Medical Studies
Ahmed Alaa
Rachael V. Phillips
Emre Kiciman
Laura B. Balzer
Mark van der Laan
Maya L Petersen
CML
ELM
LM&MA
28
0
0
26 Jul 2024
Teaching Transformers Causal Reasoning through Axiomatic Training
Teaching Transformers Causal Reasoning through Axiomatic Training
Aniket Vashishtha
Abhinav Kumar
Abbavaram Gowtham Reddy
Vineeth N. Balasubramanian
Amit Sharma
Vineeth N Balasubramanian
Amit Sharma
28
2
0
10 Jul 2024
Do Large Language Models Exhibit Cognitive Dissonance? Studying the
  Difference Between Revealed Beliefs and Stated Answers
Do Large Language Models Exhibit Cognitive Dissonance? Studying the Difference Between Revealed Beliefs and Stated Answers
Manuel Mondal
Ljiljana Dolamic
Gérôme Bovet
Philippe Cudré-Mauroux
Julien Audiffren
29
2
0
21 Jun 2024
Causal Discovery Inspired Unsupervised Domain Adaptation for Emotion-Cause Pair Extraction
Causal Discovery Inspired Unsupervised Domain Adaptation for Emotion-Cause Pair Extraction
Yuncheng Hua
Yujin Huang
Shuo Huang
Tao Feng
Lizhen Qu
Chris Bain
R. Bassed
Gholamreza Haffari
CML
OOD
35
2
0
18 Jun 2024
ACCORD: Closing the Commonsense Measurability Gap
ACCORD: Closing the Commonsense Measurability Gap
François Roewer-Després
Jinyue Feng
Zining Zhu
Frank Rudzicz
LRM
34
0
0
04 Jun 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
54
12
0
02 May 2024
Testing and Understanding Erroneous Planning in LLM Agents through
  Synthesized User Inputs
Testing and Understanding Erroneous Planning in LLM Agents through Synthesized User Inputs
Zhenlan Ji
Daoyuan Wu
Pingchuan Ma
Zongjie Li
Shuai Wang
LLMAG
40
3
0
27 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
33
17
0
28 Feb 2024
Integrating Large Language Models in Causal Discovery: A Statistical Causal Approach
Integrating Large Language Models in Causal Discovery: A Statistical Causal Approach
Masayuki Takayama
Tadahisa Okuda
Thong Pham
T. Ikenoue
Shingo Fukuma
Shohei Shimizu
Akiyoshi Sannai
71
16
0
02 Feb 2024
An Explainable AI Approach to Large Language Model Assisted Causal Model
  Auditing and Development
An Explainable AI Approach to Large Language Model Assisted Causal Model Auditing and Development
Yanming Zhang
Brette Fitzgibbon
Dino Garofolo
Akshith Kota
Eric Papenhausen
Klaus Mueller
CML
31
5
0
23 Dec 2023
When Graph Neural Network Meets Causality: Opportunities, Methodologies
  and An Outlook
When Graph Neural Network Meets Causality: Opportunities, Methodologies and An Outlook
Wenzhao Jiang
Hao Liu
Hui Xiong
CML
AI4CE
24
2
0
19 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
38
62
0
07 Dec 2023
Enhancing the Rationale-Input Alignment for Self-explaining
  Rationalization
Enhancing the Rationale-Input Alignment for Self-explaining Rationalization
Wei Liu
Haozhao Wang
Jun Wang
Zhiying Deng
Yuankai Zhang
Chengwei Wang
Ruixuan Li
25
9
0
07 Dec 2023
Evaluating Generative Ad Hoc Information Retrieval
Evaluating Generative Ad Hoc Information Retrieval
Lukas Gienapp
Harrisen Scells
Niklas Deckers
Janek Bevendorff
Shuai Wang
...
Maik Frobe
Guide Zucoon
Benno Stein
Matthias Hagen
Martin Potthast
RALM
30
11
0
08 Nov 2023
Zero-Shot Robustification of Zero-Shot Models
Zero-Shot Robustification of Zero-Shot Models
Dyah Adila
Changho Shin
Lin Cai
Frederic Sala
29
18
0
08 Sep 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
50
14
0
23 Aug 2023
Causal Intersectionality and Dual Form of Gradient Descent for
  Multimodal Analysis: a Case Study on Hateful Memes
Causal Intersectionality and Dual Form of Gradient Descent for Multimodal Analysis: a Case Study on Hateful Memes
Yosuke Miyanishi
M. Nguyen
24
2
0
19 Aug 2023
Enhancing LLM with Evolutionary Fine Tuning for News Summary Generation
Enhancing LLM with Evolutionary Fine Tuning for News Summary Generation
Le Xiao
Xiaolin Chen
23
21
0
06 Jul 2023
Passive learning of active causal strategies in agents and language
  models
Passive learning of active causal strategies in agents and language models
Andrew Kyle Lampinen
Stephanie C. Y. Chan
Ishita Dasgupta
A. Nam
Jane X. Wang
22
15
0
25 May 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
215
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
39
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
26
11
0
07 Nov 2022
LMPriors: Pre-Trained Language Models as Task-Specific Priors
LMPriors: Pre-Trained Language Models as Task-Specific Priors
Kristy Choi
Chris Cundy
Sanjari Srivastava
Stefano Ermon
BDL
48
35
0
22 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
303
11,730
0
04 Mar 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason W. Wei
Xuezhi Wang
Dale Schuurmans
Maarten Bosma
Brian Ichter
F. Xia
Ed H. Chi
Quoc Le
Denny Zhou
LM&Ro
LRM
AI4CE
ReLM
315
8,261
0
28 Jan 2022
Multitask Prompted Training Enables Zero-Shot Task Generalization
Multitask Prompted Training Enables Zero-Shot Task Generalization
Victor Sanh
Albert Webson
Colin Raffel
Stephen H. Bach
Lintang Sutawika
...
T. Bers
Stella Biderman
Leo Gao
Thomas Wolf
Alexander M. Rush
LRM
205
1,651
0
15 Oct 2021
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