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Causal Inference in Natural Language Processing: Estimation, Prediction,
  Interpretation and Beyond

Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond

2 September 2021
Amir Feder
Katherine A. Keith
Emaad A. Manzoor
Reid Pryzant
Dhanya Sridhar
Zach Wood-Doughty
Jacob Eisenstein
Justin Grimmer
Roi Reichart
Margaret E. Roberts
Brandon M Stewart
Victor Veitch
Diyi Yang
    CML
ArXivPDFHTML

Papers citing "Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond"

50 / 133 papers shown
Title
Deconfounded Reasoning for Multimodal Fake News Detection via Causal Intervention
Deconfounded Reasoning for Multimodal Fake News Detection via Causal Intervention
Moyang Liu
Kaiying Yan
Yukun Liu
Ruibo Fu
Zhengqi Wen
Xuefei Liu
Chenxing Li
38
0
0
12 Apr 2025
Causal Inference on Outcomes Learned from Text
Iman Modarressi
Jann Spiess
A. Venugopal
CML
SyDa
50
0
0
02 Mar 2025
A Reality Check on Context Utilisation for Retrieval-Augmented
  Generation
A Reality Check on Context Utilisation for Retrieval-Augmented Generation
Lovisa Hagström
Sara Vera Marjanović
Haeun Yu
Arnav Arora
Christina Lioma
Maria Maistro
Pepa Atanasova
Isabelle Augenstein
77
0
0
22 Dec 2024
Gumbel Counterfactual Generation From Language Models
Gumbel Counterfactual Generation From Language Models
Shauli Ravfogel
Anej Svete
Vésteinn Snæbjarnarson
Ryan Cotterell
LRM
CML
33
1
0
11 Nov 2024
Multi-environment Topic Models
Multi-environment Topic Models
Dominic Sobhani
Amir Feder
David M. Blei
25
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
Seeing Through VisualBERT: A Causal Adventure on Memetic Landscapes
Seeing Through VisualBERT: A Causal Adventure on Memetic Landscapes
Dibyanayan Bandyopadhyay
Mohammed Hasanuzzaman
Asif Ekbal
AAML
31
0
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
AutoPersuade: A Framework for Evaluating and Explaining Persuasive Arguments
AutoPersuade: A Framework for Evaluating and Explaining Persuasive Arguments
Till Raphael Saenger
Musashi Hinck
Justin Grimmer
Brandon M Stewart
30
2
0
11 Oct 2024
Deciphering the Interplay of Parametric and Non-parametric Memory in
  Retrieval-augmented Language Models
Deciphering the Interplay of Parametric and Non-parametric Memory in Retrieval-augmented Language Models
M. Farahani
Richard Johansson
RALM
31
2
0
07 Oct 2024
CreDes: Causal Reasoning Enhancement and Dual-End Searching for Solving
  Long-Range Reasoning Problems using LLMs
CreDes: Causal Reasoning Enhancement and Dual-End Searching for Solving Long-Range Reasoning Problems using LLMs
Kangsheng Wang
Xiao Zhang
Hao Liu
Songde Han
Huimin Ma
Tianyu Hu
LRM
49
5
0
02 Oct 2024
Causal Representation Learning with Generative Artificial Intelligence:
  Application to Texts as Treatments
Causal Representation Learning with Generative Artificial Intelligence: Application to Texts as Treatments
Kosuke Imai
Kentaro Nakamura
CML
28
4
0
01 Oct 2024
The Imperative of Conversation Analysis in the Era of LLMs: A Survey of
  Tasks, Techniques, and Trends
The Imperative of Conversation Analysis in the Era of LLMs: A Survey of Tasks, Techniques, and Trends
Xinghua Zhang
Haiyang Yu
Yongbin Li
Minzheng Wang
Longze Chen
Fei Huang
43
5
0
21 Sep 2024
Advancing Event Causality Identification via Heuristic Semantic
  Dependency Inquiry Network
Advancing Event Causality Identification via Heuristic Semantic Dependency Inquiry Network
Haoran Li
Qiang Gao
Hongmei Wu
Li Huang
21
0
0
20 Sep 2024
CSCE: Boosting LLM Reasoning by Simultaneous Enhancing of Causal Significance and Consistency
CSCE: Boosting LLM Reasoning by Simultaneous Enhancing of Causal Significance and Consistency
Kangsheng Wang
Xiao Zhang
Zizheng Guo
Tianyu Hu
Huimin Ma
LRM
40
7
0
20 Sep 2024
Causal Inference with Large Language Model: A Survey
Causal Inference with Large Language Model: A Survey
Jing Ma
CML
LRM
91
8
0
15 Sep 2024
Diagnostic Reasoning in Natural Language: Computational Model and
  Application
Diagnostic Reasoning in Natural Language: Computational Model and Application
Nils Dycke
Matej Zečević
Ilia Kuznetsov
Beatrix Suess
Kristian Kersting
Iryna Gurevych
LRM
38
0
0
09 Sep 2024
Can Unconfident LLM Annotations Be Used for Confident Conclusions?
Can Unconfident LLM Annotations Be Used for Confident Conclusions?
Kristina Gligorić
Tijana Zrnic
Cinoo Lee
Emmanuel J. Candès
Dan Jurafsky
68
5
0
27 Aug 2024
SCENE: Evaluating Explainable AI Techniques Using Soft Counterfactuals
SCENE: Evaluating Explainable AI Techniques Using Soft Counterfactuals
Haoran Zheng
Utku Pamuksuz
24
0
0
08 Aug 2024
The Quest for the Right Mediator: A History, Survey, and Theoretical
  Grounding of Causal Interpretability
The Quest for the Right Mediator: A History, Survey, and Theoretical Grounding of Causal Interpretability
Aaron Mueller
Jannik Brinkmann
Millicent Li
Samuel Marks
Koyena Pal
...
Arnab Sen Sharma
Jiuding Sun
Eric Todd
David Bau
Yonatan Belinkov
CML
44
18
0
02 Aug 2024
Industrial-Grade Smart Troubleshooting through Causal Technical Language
  Processing: a Proof of Concept
Industrial-Grade Smart Troubleshooting through Causal Technical Language Processing: a Proof of Concept
Alexandre Trilla
Ossee Yiboe
Nenad Mijatovic
Jordi Vitrià
22
1
0
30 Jul 2024
Interpreting Low-level Vision Models with Causal Effect Maps
Interpreting Low-level Vision Models with Causal Effect Maps
Jinfan Hu
Jinjin Gu
Shiyao Yu
Fanghua Yu
Zheyuan Li
Zhiyuan You
Chaochao Lu
Chao Dong
CML
48
2
0
29 Jul 2024
On Behalf of the Stakeholders: Trends in NLP Model Interpretability in the Era of LLMs
On Behalf of the Stakeholders: Trends in NLP Model Interpretability in the Era of LLMs
Nitay Calderon
Roi Reichart
38
10
0
27 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
End-To-End Causal Effect Estimation from Unstructured Natural Language
  Data
End-To-End Causal Effect Estimation from Unstructured Natural Language Data
Nikita Dhawan
Leonardo Cotta
Karen Ullrich
Rahul G. Krishnan
Chris J. Maddison
SyDa
CML
3DV
30
7
0
09 Jul 2024
The Odyssey of Commonsense Causality: From Foundational Benchmarks to
  Cutting-Edge Reasoning
The Odyssey of Commonsense Causality: From Foundational Benchmarks to Cutting-Edge Reasoning
Shaobo Cui
Zhijing Jin
Bernhard Schölkopf
Boi Faltings
CML
LRM
44
4
0
27 Jun 2024
Not Eliminate but Aggregate: Post-Hoc Control over Mixture-of-Experts to
  Address Shortcut Shifts in Natural Language Understanding
Not Eliminate but Aggregate: Post-Hoc Control over Mixture-of-Experts to Address Shortcut Shifts in Natural Language Understanding
Ukyo Honda
Tatsushi Oka
Peinan Zhang
Masato Mita
49
1
0
17 Jun 2024
Can LLMs Learn Macroeconomic Narratives from Social Media?
Can LLMs Learn Macroeconomic Narratives from Social Media?
Almog Gueta
Amir Feder
Zorik Gekhman
Ariel Goldstein
Roi Reichart
21
4
0
17 Jun 2024
Beyond Agreement: Diagnosing the Rationale Alignment of Automated Essay
  Scoring Methods based on Linguistically-informed Counterfactuals
Beyond Agreement: Diagnosing the Rationale Alignment of Automated Essay Scoring Methods based on Linguistically-informed Counterfactuals
Yupei Wang
Renfen Hu
Zhe Zhao
32
2
0
29 May 2024
Conformal Counterfactual Inference under Hidden Confounding
Conformal Counterfactual Inference under Hidden Confounding
Zonghao Chen
Ruocheng Guo
Jean-François Ton
Yang Liu
CML
OffRL
38
2
0
20 May 2024
Estimating the Causal Effects of Natural Logic Features in
  Transformer-Based NLI Models
Estimating the Causal Effects of Natural Logic Features in Transformer-Based NLI Models
Julia Rozanova
Marco Valentino
André Freitas
CML
32
0
0
03 Apr 2024
From Explainable to Interpretable Deep Learning for Natural Language
  Processing in Healthcare: How Far from Reality?
From Explainable to Interpretable Deep Learning for Natural Language Processing in Healthcare: How Far from Reality?
Guangming Huang
Yingya Li
Shoaib Jameel
Yunfei Long
G. Papanastasiou
33
16
0
18 Mar 2024
Causality from Bottom to Top: A Survey
Causality from Bottom to Top: A Survey
Abraham Itzhak Weinberg
Cristiano Premebida
Diego Resende Faria
CML
42
1
0
17 Mar 2024
Large Language Models and Causal Inference in Collaboration: A Survey
Large Language Models and Causal Inference in Collaboration: A Survey
Xiaoyu Liu
Paiheng Xu
Junda Wu
Jiaxin Yuan
Yifan Yang
...
Haoliang Wang
Tong Yu
Julian McAuley
Wei Ai
Furong Huang
ELM
LRM
77
5
0
14 Mar 2024
Causal Prompting: Debiasing Large Language Model Prompting based on
  Front-Door Adjustment
Causal Prompting: Debiasing Large Language Model Prompting based on Front-Door Adjustment
Congzhi Zhang
Linhai Zhang
Jialong Wu
Deyu Zhou
Guoqiang Xu
CML
AI4CE
LRM
44
15
0
05 Mar 2024
Causal Imputation for Counterfactual SCMs: Bridging Graphs and Latent
  Factor Models
Causal Imputation for Counterfactual SCMs: Bridging Graphs and Latent Factor Models
Alvaro Ribot
C. Squires
Caroline Uhler
28
1
0
22 Feb 2024
Domain Generalization via Causal Adjustment for Cross-Domain Sentiment
  Analysis
Domain Generalization via Causal Adjustment for Cross-Domain Sentiment Analysis
Siyin Wang
Jie Zhou
Qin Chen
Qi Zhang
Tao Gui
Xuanjing Huang
OOD
TTA
32
1
0
22 Feb 2024
Is ChatGPT the Future of Causal Text Mining? A Comprehensive Evaluation
  and Analysis
Is ChatGPT the Future of Causal Text Mining? A Comprehensive Evaluation and Analysis
Takehiro Takayanagi
Masahiro Suzuki
Ryotaro Kobayashi
Hiroki Sakaji
Kiyoshi Izumi
42
1
0
22 Feb 2024
CMA-R:Causal Mediation Analysis for Explaining Rumour Detection
CMA-R:Causal Mediation Analysis for Explaining Rumour Detection
Lin Tian
Xiuzhen Zhang
Jey Han Lau
24
0
0
13 Feb 2024
DoubleMLDeep: Estimation of Causal Effects with Multimodal Data
DoubleMLDeep: Estimation of Causal Effects with Multimodal Data
Sven Klaassen
Jan Teichert-Kluge
Philipp Bach
Victor Chernozhukov
Martin Spindler
Suhas Vijaykumar
BDL
CML
18
6
0
01 Feb 2024
Do Language Models Exhibit the Same Cognitive Biases in Problem Solving
  as Human Learners?
Do Language Models Exhibit the Same Cognitive Biases in Problem Solving as Human Learners?
Andreas Opedal
Alessandro Stolfo
Haruki Shirakami
Ying Jiao
Ryan Cotterell
Bernhard Schölkopf
Abulhair Saparov
Mrinmaya Sachan
LRM
35
13
0
31 Jan 2024
Tweets to Citations: Unveiling the Impact of Social Media Influencers on
  AI Research Visibility
Tweets to Citations: Unveiling the Impact of Social Media Influencers on AI Research Visibility
Iain Xie Weissburg
Mehir Arora
Xinyi Wang
Liangming Pan
W. Wang
19
3
0
24 Jan 2024
An Empirical Study of Counterfactual Visualization to Support Visual
  Causal Inference
An Empirical Study of Counterfactual Visualization to Support Visual Causal Inference
Arran Zeyu Wang
D. Borland
David Gotz
CML
30
11
0
16 Jan 2024
The Effect of Human v/s Synthetic Test Data and Round-tripping on
  Assessment of Sentiment Analysis Systems for Bias
The Effect of Human v/s Synthetic Test Data and Round-tripping on Assessment of Sentiment Analysis Systems for Bias
Kausik Lakkaraju
Aniket Gupta
Biplav Srivastava
Marco Valtorta
Dezhi Wu
29
2
0
15 Jan 2024
Proximal Causal Inference With Text Data
Proximal Causal Inference With Text Data
Jacob M. Chen
Rohit Bhattacharya
Katherine A. Keith
19
1
0
12 Jan 2024
Is Knowledge All Large Language Models Needed for Causal Reasoning?
Is Knowledge All Large Language Models Needed for Causal Reasoning?
Hengrui Cai
Shengjie Liu
Rui Song
LRM
ELM
28
10
0
30 Dec 2023
Causal ATE Mitigates Unintended Bias in Controlled Text Generation
Causal ATE Mitigates Unintended Bias in Controlled Text Generation
Rahul Madhavan
Kahini Wadhawan
41
0
0
19 Nov 2023
Measuring and Improving Attentiveness to Partial Inputs with
  Counterfactuals
Measuring and Improving Attentiveness to Partial Inputs with Counterfactuals
Yanai Elazar
Bhargavi Paranjape
Hao Peng
Sarah Wiegreffe
Khyathi Raghavi
Vivek Srikumar
Sameer Singh
Noah A. Smith
AAML
OOD
26
0
0
16 Nov 2023
Causal Inference from Text: Unveiling Interactions between Variables
Causal Inference from Text: Unveiling Interactions between Variables
Yuxiang Zhou
Yulan He
CML
27
4
0
09 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
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