Relating Blindsight and AI: A Review. - Joshua Bensemann; Qiming Bao 001; Gaël Gendron; Tim Hartill; Michael Witbrock (J. Artif. Intell. Conscious., 2022)

Disentanglement of Latent Representations via Causal Interventions. - Gaël Gendron; Michael Witbrock; Gillian Dobbie (IJCAI, 2023)

A Survey of Methods, Challenges and Perspectives in Causality. - Gaël Gendron; Michael Witbrock; Gillian Dobbie (CoRR, 2023)

Disentanglement of Latent Representations via Sparse Causal Interventions. - Gaël Gendron; Michael Witbrock; Gillian Dobbie (CoRR, 2023)

Large Language Models Are Not Abstract Reasoners. - Gaël Gendron; Qiming Bao 001; Michael Witbrock; Gillian Dobbie (CoRR, 2023)

Meerkat Behaviour Recognition Dataset. - Mitchell Rogers; Gaël Gendron; David Arturo Soriano Valdez; Mihailo Azhar; Yang Chen 028; Shahrokh Heidari; Caleb Perelini; Padriac O'Leary; Kobe Knowles; Izak Tait; Simon Eyre; Michael Witbrock; et al. (CoRR, 2023)

A Systematic Evaluation of Large Language Models on Out-of-Distribution Logical Reasoning Tasks. - Qiming Bao 001; Gaël Gendron; Alex Yuxuan Peng; Wanjun Zhong; Neset Tan; Yang Chen 028; Michael Witbrock; Jiamou Liu (CoRR, 2023)

Abstract Meaning Representation-Based Logic-Driven Data Augmentation for Logical Reasoning. - Qiming Bao 001; Alex Yuxuan Peng; Zhenyun Deng; Wanjun Zhong; Gaël Gendron; Timothy Pistotti; Neset Tan; Nathan Young; Yang Chen 028; Yonghua Zhu; Paul Denny 001; Michael Witbrock; et al. (ACL (Findings), 2024)

Behaviour Modelling of Social Animals via Causal Structure Discovery and Graph Neural Networks. - Gaël Gendron; Yang Chen 028; Mitchell Rogers; Yiping Liu; Mihailo Azhar; Shahrokh Heidari; David Arturo Soriano Valdez; Kobe Knowles; Padriac O'Leary; Simon Eyre; Michael Witbrock; Gillian Dobbie; et al. (AAMAS, 2024)

Can Large Language Models Learn Independent Causal Mechanisms? - Gaël Gendron; Bao Trung Nguyen; Alex Yuxuan Peng; Michael J. Witbrock; Gillian Dobbie (EMNLP, 2024)

Assessing and Enhancing the Robustness of Large Language Models with Task Structure Variations for Logical Reasoning. - Qiming Bao 001; Gaël Gendron; Alex Yuxuan Peng; Wanjun Zhong; Neset Tan; Yang Chen 028; Michael Witbrock; Jiamou Liu (ICONIP (10), 2024)

Large Language Models Are Not Strong Abstract Reasoners. - Gaël Gendron; Qiming Bao 001; Michael Witbrock; Gillian Dobbie (IJCAI, 2024)

Causal Graph Modeling with Deep Neural Engines for Strong Abstract Reasoning in Language and Vision. - Gaël Gendron (IJCAI, 2024)

Causal Behaviour Modelling for Player Action Prediction in Rugby League Using Graph Neural Networks. - Jiaxuan Wang; Ruigeng Wang; Gaël Gendron; Shahrokh Heidari; David Arturo Soriano Valdez; Gibrán Alfonso Zazueta Cruz; Stephen Hallett; Mitchell Rogers; Alexander Woodward; Alfonso Gastelum Strozzi; Riki Mitchel; Mengjie Zhang 001; et al. (IVCNZ, 2024)

Recurrence over Video Frames (RoVF) for the Re-identification of Meerkats. - Mitchell Rogers; Kobe Knowles; Gaël Gendron; Shahrokh Heidari; David Arturo Soriano Valdez; Mihailo Azhar; Padriac O'Leary; Simon Eyre; Michael Witbrock; Patrice Delmas (CoRR, 2024)

Robust Domain Generalisation with Causal Invariant Bayesian Neural Networks. - Gaël Gendron; Michael Witbrock; Gillian Dobbie (CoRR, 2024)

Counterfactual Causal Inference in Natural Language with Large Language Models. - Gaël Gendron; Joze M. Rozanec; Michael Witbrock; Gillian Dobbie (CoRR, 2024)

Exploring Iterative Enhancement for Improving Learnersourced Multiple-Choice Question Explanations with Large Language Models. - Qiming Bao 001; Juho Leinonen 001; Alex Yuxuan Peng; Wanjun Zhong; Gaël Gendron; Timothy Pistotti; Alice Huang; Paul Denny 001; Michael Witbrock; Jiamou Liu (AAAI, 2025)

Causal Cartographer: From Mapping to Reasoning Over Counterfactual Worlds. - Gaël Gendron; Joze M. Rozanec; Michael Witbrock; Gillian Dobbie (CoRR, 2025)