| Large Language Models Are Not Abstract Reasoners G Gendron, Q Bao, M Witbrock, G Dobbie arXiv preprint arXiv:2305.19555, 2023 | 60 | 2023 |
| A Survey of Methods, Challenges and Perspectives in Causality G Gendron, M Witbrock, G Dobbie arXiv preprint arXiv:2302.00293, 2023 | 9 | 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 | 6 | 2023 |
| Disentanglement of latent representations via causal interventions G Gendron, M Witbrock, G Dobbie Proceedings of the Thirty-Second International Joint Conference on …, 2023 | 4 | 2023 |
| 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 | 3 | 2024 |
| Meerkat Behaviour Recognition Dataset M Rogers, G Gendron, DAS Valdez, M Azhar, Y Chen, S Heidari, ... arXiv preprint arXiv:2306.11326, 2023 | 3 | 2023 |
| Counterfactual Causal Inference in Natural Language with Large Language Models G Gendron, JM Rožanec, M Witbrock, G Dobbie arXiv preprint arXiv:2410.06392, 2024 | 2 | 2024 |
| 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 | 2 | 2023 |
| 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 | 2 | 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 |
| Causal Behaviour Modelling for Player Action Prediction in Rugby League Using Graph Neural Networks J Wang, R Wang, G Gendron, S Heidari, DAS Valdez, GAZ Cruz, S Hallett, ... 2024 39th International Conference on Image and Vision Computing New Zealand …, 2024 | | 2024 |
| Robust Domain Generalisation with Causal Invariant Bayesian Neural Networks G Gendron, M Witbrock, G Dobbie arXiv preprint arXiv:2410.06349, 2024 | | 2024 |
| Causal graph modelling with deep neural engines for strong abstract reasoning in language and vision G Gendron Proceedings of the Thirty-Third International Joint Conference on Artificial …, 2024 | | 2024 |
| Assessing and Enhancing the Robustness of Large Language Models with Task Structure Variations for Logical Reasoning Q Bao, G Gendron, AY Peng, W Zhong, N Tan, Y Chen, M Witbrock, J Liu arXiv preprint arXiv:2310.09430, 2023 | | 2023 |
| Semantic enrichment of causal graphs for strategic foresight JM Rožanec, 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 | | |
Michael WitbrockProfessor of Computer Science, Waipapa Taumata Rau: The University of AucklandПотвърден имейл адрес: auckland.ac.nz