CLEAR: Can Language Models Really Understand Causal Graphs?

CLEAR: Can Language Models Really Understand Causal Graphs?

24 June 2024

Rui Zhao

Papers citing "CLEAR: Can Language Models Really Understand Causal Graphs?"

8 / 8 papers shown

Title
IGDA: Interactive Graph Discovery through Large Language Model Agents Alex Havrilla David Alvarez-Melis Nicolò Fusi AI4CE 45 0 0 24 Feb 2025
CausalGraph2LLM: Evaluating LLMs for Causal Queries Ivaxi Sheth Bahare Fatemi Mario Fritz 29 0 0 21 Oct 2024
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
Beyond Graphs: Can Large Language Models Comprehend Hypergraphs? Yifan Feng Chengwu Yang Xingliang Hou S. Du Shihui Ying Zongze Wu Yue Gao 27 3 0 14 Oct 2024
Teaching Transformers Causal Reasoning through Axiomatic Training Aniket Vashishtha Abhinav Kumar Abbavaram Gowtham Reddy Vineeth N. Balasubramanian Amit Sharma Vineeth N Balasubramanian Amit Sharma 34 2 0 10 Jul 2024
Quantifying and Mitigating Unimodal Biases in Multimodal Large Language Models: A Causal Perspective Meiqi Chen Yixin Cao Yan Zhang Chaochao Lu 37 12 0 27 Mar 2024
Robust agents learn causal world models Jonathan G. Richens Tom Everitt OOD 119 36 0 16 Feb 2024
Can Large Language Models Understand Real-World Complex Instructions? Qi He Jie Zeng Wenhao Huang Lina Chen Jin Xiao ... Shisong Chen Yikai Zhang Zhouhong Gu Jiaqing Liang Yanghua Xiao ALM LRM ELM 95 52 0 17 Sep 2023