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CLEAR: Can Language Models Really Understand Causal Graphs?

CLEAR: Can Language Models Really Understand Causal Graphs?

24 June 2024
Sirui Chen
Mengying Xu
Kun Wang
Xingyu Zeng
Rui Zhao
Shengjie Zhao
Chaochao Lu
    LRM
    ELM
ArXivPDFHTML

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

5 / 5 papers shown
Title
IGDA: Interactive Graph Discovery through Large Language Model Agents
IGDA: Interactive Graph Discovery through Large Language Model Agents
Alex Havrilla
David Alvarez-Melis
Nicolò Fusi
AI4CE
40
0
0
24 Feb 2025
Teaching Transformers Causal Reasoning through Axiomatic Training
Teaching Transformers Causal Reasoning through Axiomatic Training
Aniket Vashishtha
Abhinav Kumar
Abbavaram Gowtham Reddy
Vineeth N. Balasubramanian
Amit Sharma
Vineeth N Balasubramanian
Amit Sharma
17
2
0
10 Jul 2024
Quantifying and Mitigating Unimodal Biases in Multimodal Large Language
  Models: A Causal Perspective
Quantifying and Mitigating Unimodal Biases in Multimodal Large Language Models: A Causal Perspective
Meiqi Chen
Yixin Cao
Yan Zhang
Chaochao Lu
16
3
0
27 Mar 2024
Robust agents learn causal world models
Robust agents learn causal world models
Jonathan G. Richens
Tom Everitt
OOD
111
34
0
16 Feb 2024
Can Large Language Models Understand Real-World Complex Instructions?
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
90
50
0
17 Sep 2023
1