An Explainable AI Approach to Large Language Model Assisted Causal Model Auditing and Development

23 December 2023

Papers citing "An Explainable AI Approach to Large Language Model Assisted Causal Model Auditing and Development"

8 / 8 papers shown

Title
Learning to Defer for Causal Discovery with Imperfect Experts Oscar Clivio Divyat Mahajan Perouz Taslakian Sara Magliacane Ioannis Mitliagkas Valentina Zantedeschi Alexandre Drouin CML 78 0 0 18 Feb 2025
CausalChat: Interactive Causal Model Development and Refinement Using Large Language Models Yanming Zhang Akshith Kota Eric Papenhausen Klaus Mueller KELM 16 0 0 18 Oct 2024
Navigating LLM Ethics: Advancements, Challenges, and Future Directions Junfeng Jiao S. Afroogh Yiming Xu Connor Phillips AILaw 50 19 0 14 May 2024
Discovery of the Hidden World with Large Language Models Chenxi Liu Yongqiang Chen Tongliang Liu Mingming Gong James Cheng Bo Han Kun Zhang CML 49 9 0 06 Feb 2024
Iterative Causal Discovery in the Possible Presence of Latent Confounders and Selection Bias R. Y. Rohekar Shami Nisimov Yaniv Gurwicz Gal Novik CML 128 24 0 07 Nov 2021
VAINE: Visualization and AI for Natural Experiments G. Guo M. Glenski Z. Shaw Emily Saldanha Alex Endert Svitlana Volkova Dustin L. Arendt CML 17 8 0 09 Sep 2021
A Survey on Extraction of Causal Relations from Natural Language Text Jie Yang S. Han Josiah Poon 3DV CML 85 83 0 16 Jan 2021
Outcome-Explorer: A Causality Guided Interactive Visual Interface for Interpretable Algorithmic Decision Making Md. Naimul Hoque Klaus Mueller CML 44 28 0 03 Jan 2021