Gaël Gendron

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	All	Since 2019
Citations	55	55
h-index	3	3
i10-index	1	1

2022202320241 14 40

Co-authors

Michael WitbrockProfessor of Computer Science, Waipapa Taumata Rau: The University of AucklandVerified email at auckland.ac.nz
Gillian DobbieUniversity of AucklandVerified email at cs.auckland.ac.nz
Qiming BaoUniversity of AucklandVerified email at aucklanduni.ac.nz
Alex Yuxuan PengUniversity of AucklandVerified email at aucklanduni.ac.nz
Jiamou LiuThe University of AucklandVerified email at auckland.ac.nz
Shahrokh HeidariPhD, University of Auckland, New ZealandVerified email at aucklanduni.ac.nz
Kobe KnowlesPhD candidate, the University of AucklandVerified email at kobeknowles.com
Patrice DelmasIntelligent Vision Systems Lab (IVSLab), The University of AucklandVerified email at auckland.ac.nz
Mitchell RogersPhD Student, School of Computer Science, The University of AucklandVerified email at aucklanduni.ac.nz
Yang ChenThe University of AucklandVerified email at auckland.ac.nz
Trung B. NguyenThe University of AucklandVerified email at auckland.ac.nz
Tim HartillUniversity of AucklandVerified email at aucklanduni.ac.nz

Gaël Gendron

University of Auckland

Verified email at aucklanduni.ac.nz

Causal Inference Large Language Models Variational Inference Reasoning


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Large Language Models Are Not Abstract Reasoners G Gendron, Q Bao, M Witbrock, G Dobbie arXiv preprint arXiv:2305.19555, 2023	35	2023
A Survey of Methods, Challenges and Perspectives in Causality G Gendron, M Witbrock, G Dobbie arXiv preprint arXiv:2302.00293, 2023	7	2023
A Systematic Evaluation of Large Language Models on Out-of-Distribution Logical Reasoning Tasks Q Bao, G Gendron, AY Peng, W Zhong, N Tan, Y Chen, M Witbrock, J Liu arXiv preprint arXiv:2310.09430, 2023	5	2023
Disentanglement of latent representations via causal interventions G Gendron, M Witbrock, G Dobbie Proceedings of the Thirty-Second International Joint Conference on …, 2023	3	2023
Can Large Language Models Learn Independent Causal Mechanisms? G Gendron, BT Nguyen, AY Peng, M Witbrock, G Dobbie arXiv preprint arXiv:2402.02636, 2024	2	2024
Behaviour Modelling of Social Animals via Causal Structure Discovery and Graph Neural Networks G Gendron, Y Chen, M Rogers, Y Liu, M Azhar, S Heidari, DAS Valdez, ... arXiv preprint arXiv:2312.14333, 2023	1	2023
Meerkat Behaviour Recognition Dataset M Rogers, G Gendron, DAS Valdez, M Azhar, Y Chen, S Heidari, ... arXiv preprint arXiv:2306.11326, 2023	1	2023
Relating blindsight and ai: a review J Bensemann, Q Bao, G Gendron, T Hartill, M Witbrock Journal of Artificial Intelligence and Consciousness 9 (01), 111-125, 2022	1	2022
Recurrence over Video Frames (RoVF) for the Re-identification of Meerkats M Rogers, K Knowles, G Gendron, S Heidari, DAS Valdez, M Azhar, ... arXiv preprint arXiv:2406.13002, 2024		2024
Abstract Meaning Representation-Based Logic-Driven Data Augmentation for Logical Reasoning Q Bao, AY Peng, Z Deng, W Zhong, G Gendron, T Pistotti, N Tan, N Young, ... arXiv preprint arXiv:2305.12599, 2023		2023
Causal Graph Modelling with Deep Neural Engines for Strong Abstract Reasoning in Language and Vision G Gendron
Exploring Iterative Enhancement for Improving Learnersourced Multiple-Choice Question Explanations with Large Language Models Q Bao, J Leinonen, AY Peng, W Zhong, G Gendron, T Pistotti, A Huang, ... ICLR 2024 Workshop: How Far Are We From AGI, 0

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