| mHUIMiner: A fast high utility itemset mining algorithm for sparse datasets AY Peng, YS Koh, P Riddle Advances in Knowledge Discovery and Data Mining: 21st Pacific-Asia …, 2017 | 56 | 2017 |
| Using Supervised Pretraining to Improve Generalization of Neural Networks on Binary Classification Problems AY Peng, YS Koh, P Riddle, B Pfahringer Joint European Conference on Machine Learning and Knowledge Discovery in …, 2018 | 20 | 2018 |
| Eye Gaze and Self-attention: How Humans and Transformers Attend Words in Sentences J Bensemann, A Peng, D Prado, Y Chen, N Tan, PM Corballis, P Riddle, ... Proceedings of the Workshop on Cognitive Modeling and Computational …, 2022 | 17 | 2022 |
| Multi2Claim: Generating scientific claims from multi-choice questions for scientific fact-checking N Tan, T Nguyen, J Bensemann, A Peng, Q Bao, Y Chen, M Gahegan, ... Proceedings of the 17th Conference of the European Chapter of the …, 2023 | 7 | 2023 |
| Multi-Step Deductive Reasoning Over Natural Language: An Empirical Study on Out-of-Distribution Generalisation Q Bao, AY Peng, T Hartill, N Tan, Z Deng, M Witbrock, J Liu arXiv preprint arXiv:2207.14000, 2022 | 7 | 2022 |
| 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 |
| Contrastive learning with logic-driven data augmentation for logical reasoning over text Q Bao, AY Peng, Z Deng, W Zhong, N Tan, N Young, Y Chen, Y Zhu, ... CoRR, abs/2305.12599, 2023 | 4 | 2023 |
| An explainability analysis of a sentiment prediction task using a transformer-based attention filter NO Tan, J Bensemann, D Benavides-Prado, Y Chen, M Gahegan, L Lee, ... Proceedings of the Ninth Annual Conference on Advances in Cognitive Systems, 1-7, 2021 | 3 | 2021 |
| Investigating the effect of novel classes in semi-supervised learning AY Peng, YS Koh, P Riddle, B Pfahringer Asian Conference on Machine Learning, 615-630, 2019 | 3 | 2019 |
| 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 |
| Exploring Self-Reinforcement for Improving Learnersourced Multiple-Choice Question Explanations with Large Language Models Q Bao, J Leinonen, AY Peng, W Zhong, T Pistotti, A Huang, P Denny, ... arXiv preprint arXiv:2309.10444, 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 | | 2023 |
| A Dynamic Prompt-tuning Method for Data Augmentation with Associated Knowledge Q Qi, Q Bao, AY Peng, J Liu, M Witbrock | | 2023 |
| Input-length-shortening and text generation via attention values NÖ Tan, AY Peng, J Bensemann, Q Bao, T Hartill, M Gahegan, ... arXiv preprint arXiv:2303.07585, 2023 | | 2023 |
| Improving the Generalisation of Neural Networks with Unlabelled Data AY Peng PhD Thesis-University of Auckland, 2021 | | 2021 |
| 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 Auckland在 auckland.ac.nz 的电子邮件经过验证
