Integrating Large Language Model for Improved Causal Discovery

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Integrating Large Language Model for Improved Causal Discovery

IEEE Transactions on Artificial Intelligence (IEEE TAI), 2023

29 June 2023

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Papers citing "Integrating Large Language Model for Improved Causal Discovery"

18 / 18 papers shown

Title
On the Problem of Consistent Anomalies in Zero-Shot Industrial Anomaly Detection Tai Le-Gia Ahn Jaehyun 40 0 0 12 Oct 2025
Revealing Multimodal Causality with Large Language Models Jin Li Shoujin Wang Qi Zhang Feng Liu Tongliang Liu LongBing Cao Shui Yu F. Chen 48 0 0 22 Sep 2025
Think Global, Act Local: Bayesian Causal Discovery with Language Models in Sequential Data Prakhar Verma David Arbour Sunav Choudhary Harshita Chopra Arno Solin Atanu R. Sinha 118 0 0 19 Jun 2025
LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery Xingyu Wu Kui Yu Jibin Wu Kay Chen Tan CML 109 1 0 01 Jun 2025
Can LLMs Leverage Observational Data? Towards Data-Driven Causal Discovery with LLMs Yuni Susanti Michael Färber 128 3 0 15 Apr 2025
In-depth Analysis of Graph-based RAG in a Unified Framework Yingli Zhou Yaodong Su Youran Sun Shu Wang Taotao Wang ... Yongwei Zhang Sicong Liang Xilin Liu Yuchi Ma Yixiang Fang 200 15 0 06 Mar 2025
CAUSAL3D: A Comprehensive Benchmark for Causal Learning from Visual Data Disheng Liu Yiran Qiao Wuche Liu Yiren Lu Yunlai Zhou Tuo Liang Yu Yin Jing Ma CML 3DV 269 3 0 06 Mar 2025
From Local to Global: A Graph RAG Approach to Query-Focused Summarization Darren Edge Ha Trinh Newman Cheng Joshua Bradley Alex Chao Apurva Mody Steven Truitt Dasha Metropolitansky Robert Osazuwa Ness Jonathan Larson RALM 409 778 0 20 Feb 2025
Learning to Defer for Causal Discovery with Imperfect Experts Oscar Clivio Divyat Mahajan Perouz Taslakian Sara Magliacane Alexia Jolicoeur-Martineau Valentina Zantedeschi Alexandre Drouin CML 290 1 0 18 Feb 2025
MedG-KRP: Medical Graph Knowledge Representation Probing Gabriel R. Rosenbaum L. Jiang Ivaxi Sheth Jaden Stryker Anton Alyakin ... Mustafa Nasir-Moin Jan Moritz Niehues Karl L. Sangwon Jeff Zhang E. Oermann AI4MH 230 2 0 14 Dec 2024
From Isolated Conversations to Hierarchical Schemas: Dynamic Tree Memory Representation for LLMsInternational Conference on Learning Representations (ICLR), 2024 Alireza Rezazadeh Zichao Li Wei Wei Yujia Bao 367 15 0 17 Oct 2024
Causal Inference with Large Language Model: A SurveyNorth American Chapter of the Association for Computational Linguistics (NAACL), 2024 Jing Ma CML LRM 429 17 0 15 Sep 2024
Teaching Transformers Causal Reasoning through Axiomatic Training Aniket Vashishtha Abhinav Kumar Atharva Pandey Abbavaram Gowtham Reddy Amit Sharma Vineeth N. Balasubramanian Amit Sharma 232 8 0 10 Jul 2024
Belief Revision: The Adaptability of Large Language Models Reasoning Bryan Wilie Samuel Cahyawijaya Etsuko Ishii Junxian He Pascale Fung KELM LRM 136 6 0 28 Jun 2024
ALCM: Autonomous LLM-Augmented Causal Discovery Framework Elahe Khatibi Mahyar Abbasian Zhongqi Yang Iman Azimi Amir M. Rahmani 205 24 0 02 May 2024
TWIN-GPT: Digital Twins for Clinical Trials via Large Language Model Yue Wang Tianfan Fu Yinlong Xu Zihan Ma Hongxia Xu Yingzhou Lu Bang Du Hong-Yan Gao Jian Wu LM&MA 174 52 0 01 Apr 2024
Causal Intersectionality and Dual Form of Gradient Descent for Multimodal Analysis: a Case Study on Hateful MemesInternational Conference on Language Resources and Evaluation (LREC), 2023 Yosuke Miyanishi Minh Le Nguyen 179 2 0 19 Aug 2023
Emerging Synergies in Causality and Deep Generative Models: A Survey Guanglin Zhou Shaoan Xie Guang-Yuan Hao Shiming Chen Erdun Gao Xiwei Xu Chen Wang Liming Zhu Lina Yao Kun Zhang AI4CE 257 13 0 29 Jan 2023