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Is ChatGPT a Good Causal Reasoner? A Comprehensive Evaluation
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
12 May 2023
Jin-Fang Gao
Xiao Ding
Bing Qin
Ting Liu
ELM
LRM
AI4MH
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Github (32★)
Papers citing
"Is ChatGPT a Good Causal Reasoner? A Comprehensive Evaluation"
50 / 56 papers shown
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140
1
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0
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279
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0
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Vitaly Nikolaev
205
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Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal Discovery
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222
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Interpretation Meets Safety: A Survey on Interpretation Methods and Tools for Improving LLM Safety
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400
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0
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LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery
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305
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CrossICL: Cross-Task In-Context Learning via Unsupervised Demonstration Transfer
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272
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International Joint Conference on Artificial Intelligence (IJCAI), 2025
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455
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ExpeTrans: LLMs Are Experiential Transfer Learners
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295
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Sentiment-Aware Recommendation Systems in E-Commerce: A Review from a Natural Language Processing Perspective
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172
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0
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Michael Färber
358
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Accelerating Causal Network Discovery of Alzheimer Disease Biomarkers via Scientific Literature-based Retrieval Augmented Generation
Xiaofan Zhou
Liangjie Huang
Pinyang Cheng
Wenpen Yin
Rui Zhang
Wenrui Hao
Lu Cheng
339
0
0
01 Apr 2025
ExpliCa: Evaluating Explicit Causal Reasoning in Large Language Models
Annual Meeting of the Association for Computational Linguistics (ACL), 2025
Martina Miliani
S. Auriemma
Alessandro Bondielli
Emmanuele Chersoni
Lucia Passaro
Irene Sucameli
Alessandro Lenci
ELM
LRM
366
8
0
21 Feb 2025
Knowledge Graph-Driven Retrieval-Augmented Generation: Integrating Deepseek-R1 with Weaviate for Advanced Chatbot Applications
International Conference on Arabic Computational Linguistics (ICACL), 2025
Alexandru Lecu
Adrian Groza
Lezan Hawizy
RALM
276
5
0
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ACCESS : A Benchmark for Abstract Causal Event Discovery and Reasoning
North American Chapter of the Association for Computational Linguistics (NAACL), 2025
Vy Vo
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Yuncheng Hua
Xiaoxi Kang
Songhai Fan
Tim Dwyer
Lay-Ki Soon
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2
0
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ChartInsighter: An Approach for Mitigating Hallucination in Time-series Chart Summary Generation with A Benchmark Dataset
IEEE Transactions on Visualization and Computer Graphics (TVCG), 2025
Fen Wang
Bomiao Wang
Xueli Shu
Zhen Liu
Zekai Shao
Chao Liu
Siming Chen
AI4TS
258
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0
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Reasoning-Oriented and Analogy-Based Methods for Locating and Editing in Zero-Shot Event-Relational Reasoning
International Conference on Computational Linguistics (COLING), 2025
Jingyao Tang
Lishuang Li
Liteng Mi
Haiming Wu
Hongbin Lu
KELM
282
0
0
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A Novel Approach to Eliminating Hallucinations in Large Language Model-Assisted Causal Discovery
Grace Sng
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Klaus Mueller
235
1
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Failure Modes of LLMs for Causal Reasoning on Narratives
Khurram Yamin
Shantanu Gupta
Gaurav R. Ghosal
Zachary Chase Lipton
Bryan Wilder
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629
9
0
31 Oct 2024
Causality for Large Language Models
Anpeng Wu
Kun Kuang
Minqin Zhu
Yingrong Wang
Yujia Zheng
Kairong Han
Yangqiu Song
Guangyi Chen
Leilei Gan
Kun Zhang
LRM
409
20
0
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CausalChat: Interactive Causal Model Development and Refinement Using Large Language Models
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Yanming Zhang
Akshith Kota
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185
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Are UFOs Driving Innovation? The Illusion of Causality in Large Language Models
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Francisca Gauna Selasco
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247
3
0
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Do LLMs Have the Generalization Ability in Conducting Causal Inference?
Chen Wang
Dongming Zhao
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268
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Document-level Causal Relation Extraction with Knowledge-guided Binary Question Answering
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358
18
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250
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Causal Inference with Large Language Model: A Survey
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Probing Causality Manipulation of Large Language Models
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316
1
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Are LLMs Good Annotators for Discourse-level Event Relation Extraction?
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Kangda Wei
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596
13
0
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XAI meets LLMs: A Survey of the Relation between Explainable AI and Large Language Models
Xiaoshi Zhong
Lorenzo Malandri
Fabio Mercorio
Navid Nobani
Andrea Seveso
369
41
0
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Causal Discovery Inspired Unsupervised Domain Adaptation for Emotion-Cause Pair Extraction
Yuncheng Hua
Yujin Huang
Shuo Huang
Tao Feng
Zhuang Li
Chris Bain
R. Bassed
Gholamreza Haffari
CML
OOD
436
6
0
18 Jun 2024
Towards a Benchmark for Causal Business Process Reasoning with LLMs
Fabiana Fournier
Lior Limonad
Inna Skarbovsky
251
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0
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Identifying while Learning for Document Event Causality Identification
Cheng Liu
Wei Xiang
Bang Wang
156
20
0
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Large Language Models can Deliver Accurate and Interpretable Time Series Anomaly Detection
Jun Liu
Chaoyun Zhang
Jiaxu Qian
Ming-Jie Ma
Si Qin
Chetan Bansal
Qingwei Lin
Saravan Rajmohan
Dongmei Zhang
AI4TS
268
43
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24 May 2024
In-context Contrastive Learning for Event Causality Identification
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Chao Liang
Wei Xiang
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264
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0
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A Causal Explainable Guardrails for Large Language Models
Zhixuan Chu
Yan Wang
Longfei Li
Peng Kuang
Zhan Qin
Kui Ren
LLMSV
237
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0
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Paiheng Xu
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Yifan Yang
...
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584
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Kai-Wei Chang
Yansong Feng
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477
78
0
27 Feb 2024
Is ChatGPT the Future of Causal Text Mining? A Comprehensive Evaluation and Analysis
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Masahiro Suzuki
Ryotaro Kobayashi
Hiroki Sakaji
Kiyoshi Izumi
350
4
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Mansoor Ahmad
Merel C. J. Scholman
Vera Demberg
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231
1
0
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Leak, Cheat, Repeat: Data Contamination and Evaluation Malpractices in Closed-Source LLMs
Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2024
Simone Balloccu
Patrícia Schmidtová
Mateusz Lango
Ondrej Dusek
SILM
ELM
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570
300
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Is Knowledge All Large Language Models Needed for Causal Reasoning?
Hengrui Cai
Shengjie Liu
Rui Song
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582
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An Explainable AI Approach to Large Language Model Assisted Causal Model Auditing and Development
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Brette Fitzgibbon
Dino Garofolo
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Klaus Mueller
CML
210
8
0
23 Dec 2023
Large Language Models are Complex Table Parsers
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Changkai Ji
Yuejie Zhang
Wen He
Yingwen Wang
Qing Wang
Rui Feng
Xiaobo Zhang
LMTD
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219
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Yidan Sun
Qin Chao
Boyang Albert Li
443
17
0
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BOOST: Harnessing Black-Box Control to Boost Commonsense in LMs' Generation
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Yufei Tian
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199
0
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