Gendron, Gael

9 publications

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

NeurIPS 2025 Trust Region Reward Optimization and Proximal Inverse Reward Optimization Algorithm Yang Chen, Menglin Zou, Jiaqi Zhang, Yitan Zhang, Junyi Yang, Gael Gendron, Libo Zhang, Jiamou Liu, Michael J. Witbrock

IJCAI 2024 Causal Graph Modeling with Deep Neural Engines for Strong Abstract Reasoning in Language and Vision Gaël Gendron

NeurIPSW 2024 Counterfactual Causal Inference in Natural Language with Large Language Models Gael Gendron, Joze M. Rozanec, Michael Witbrock, Gillian Dobbie

ICLRW 2024 Exploring Iterative Enhancement for Improving Learnersourced Multiple-Choice Question Explanations with Large Language Models Qiming Bao, Juho Leinonen, Alex Yuxuan Peng, Wanjun Zhong, Gael Gendron, Timothy Pistotti, Alice Huang, Paul Denny, Michael Witbrock, Jiamou Liu

IJCAI 2024 Large Language Models Are Not Strong Abstract Reasoners Gaël Gendron, Qiming Bao, Michael Witbrock, Gillian Dobbie

ICLRW 2024 Large Language Models Are Not Strong Abstract Reasoners yet Gael Gendron, Qiming Bao, Michael Witbrock, Gillian Dobbie

NeurIPSW 2024 Robust Domain Generalisation with Causal Invariant Bayesian Neural Networks Gael Gendron, Michael Witbrock, Gillian Dobbie

IJCAI 2023 Disentanglement of Latent Representations via Causal Interventions Gaël Gendron, Michael Witbrock, Gillian Dobbie