Alex Yuxuan Peng

University of Auckland — New Zealand

Computer Science · Physical Sciences

5h-index174citations21works0.92yr avg
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Research Topics

Topic Modeling(10), Natural Language Processing Techniques(5), Machine Learning and Data Classification(3), Software Engineering Research(2), Rough Sets and Fuzzy Logic(2)

Publications21 total

Assessing and Enhancing the Robustness of Large Language Models with Task Structure Variations for Logical Reasoning
Lecture notes in computer science·2025
Exploring Iterative Enhancement for Improving Learnersourced Multiple-Choice Question Explanations with Large Language Models
Proceedings of the AAAI Conference on Artificial Intelligence·2025· 1 citedOpen Access
Enhancing Data Augmentation with Knowledge-enriched Data Generation via Dynamic Prompt-tuning Method
2024
Disrupted biographies and gendered identities: A qualitative study exploring sexuality and blood cancer
European Journal of Oncology Nursing·2024
Can Large Language Models Learn Independent Causal Mechanisms?
arXiv (Cornell University)·2024Open Access
Abstract Meaning Representation-Based Logic-Driven Data Augmentation for Logical Reasoning
2024· 3 citedOpen Access
Can Large Language Models Learn Independent Causal Mechanisms?
2024· 2 citedOpen Access
Assessing and Enhancing the Robustness of Large Language Models with Task Structure Variations for Logical Reasoning
arXiv (Cornell University)·2023· 4 citedOpen Access
Exploring Iterative Enhancement for Improving Learnersourced Multiple-Choice Question Explanations with Large Language Models
arXiv (Cornell University)·2023Open Access
Abstract Meaning Representation-Based Logic-Driven Data Augmentation for Logical Reasoning
arXiv (Cornell University)·2023· 1 citedOpen Access
Input-length-shortening and text generation via attention values
arXiv (Cornell University)·2023· 2 citedOpen Access
Multi2Claim: Generating Scientific Claims from Multi-Choice Questions for Scientific Fact-Checking
2023· 5 citedOpen Access
Multi-Step Deductive Reasoning Over Natural Language: An Empirical Study on Out-of-Distribution Generalisation
arXiv (Cornell University)·2022· 2 citedOpen Access
Eye Gaze and Self-attention: How Humans and Transformers Attend Words in Sentences
2022· 14 citedOpen Access
Predicting Direction of Supernova Events Through the Use of Convolutional Neural Networks
2021
Investigating the effect of novel classes in semi-supervised learning
Asian Conference on Machine Learning·2019· 1 cited
Using Supervised Pretraining to Improve Generalization of Neural Networks on Binary Classification Problems
Lecture notes in computer science·2019· 18 cited
mHUIMiner: A Fast High Utility Itemset Mining Algorithm for Sparse Datasets
Lecture notes in computer science·2017· 53 cited
Critical factors leading to ERP replacement in Higher Education Institutions in Saudi Arabia: preliminary results
2015· 5 cited
Equipping the Constructivist Researcher: The Combined use of Semi-Structured Interviews and Decision-Making maps
2014· 55 cited
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Frequent Co-authors

Michael Witbrock(12), Qiming Bao(9), Neşet Tan(7), Jiamou Liu(7), Wanjun Zhong(6), G. Gendron(5), Patricia Riddle(4), Yun Sing Koh(3), Zhenyun Deng(3), Paul Denny(3), Miguel Baptista Nunes(2), Bernhard Pfahringer(2), Joshua Bensemann(2), Mark Gahegan(2), Timothy Pistotti(2), Nathan Young(2), Tim Hartill(2), Bao Trung Nguyen(2), Gillian Dobbie(2), Juho Leinonen(2)