Alex Yuxuan Peng

According to our database, Alex Yuxuan Peng authored at least 11 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Can Large Language Models Learn Independent Causal Mechanisms?

Gaël Gendron, Bao Trung Nguyen, Alex Yuxuan Peng, Michael Witbrock, Gillian Dobbie

CoRR, 2024

2023

A Systematic Evaluation of Large Language Models on Out-of-Distribution Logical Reasoning Tasks.

Qiming Bao, Gaël Gendron, Alex Yuxuan Peng, Wanjun Zhong, Neset Tan, Yang Chen, Michael Witbrock, Jiamou Liu

CoRR, 2023

Exploring Self-Reinforcement for Improving Learnersourced Multiple-Choice Question Explanations with Large Language Models.

Qiming Bao, Juho Leinonen, Alex Yuxuan Peng, Wanjun Zhong, Tim Pistotti, Alice Huang, Paul Denny, Michael Witbrock, Jiamou Liu

CoRR, 2023

Contrastive Learning with Logic-driven Data Augmentation for Logical Reasoning over Text.

Qiming Bao, Alex Yuxuan Peng, Zhenyun Deng, Wanjun Zhong, Neset Tan, Nathan Young, Yang Chen, Yonghua Zhu, Michael Witbrock, Jiamou Liu

CoRR, 2023

Input-length-shortening and text generation via attention values.

Neset Özkan Tan, Alex Yuxuan Peng, Joshua Bensemann, Qiming Bao, Tim Hartill, Mark Gahegan, Michael Witbrock

CoRR, 2023

A Dynamic Prompt-tuning Method for Data Augmentation with Associated Knowledge.

Qianqian Qi, Qiming Bao, Alex Yuxuan Peng, Jiamou Liu, Michael Witbrock

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

Multi2Claim: Generating Scientific Claims from Multi-Choice Questions for Scientific Fact-Checking.

Neset Tan, Trung Nguyen, Joshua Bensemann, Alex Yuxuan Peng, Qiming Bao, Yang Chen, Mark Gahegan, Michael Witbrock

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

2022

Multi-Step Deductive Reasoning Over Natural Language: An Empirical Study on Out-of-Distribution Generalisation.

Qiming Bao, Alex Yuxuan Peng, Tim Hartill, Neset Tan, Zhenyun Deng, Michael Witbrock, Jiamou Liu

Proceedings of the 16th International Workshop on Neural-Symbolic Learning and Reasoning as part of the 2nd International Joint Conference on Learning & Reasoning (IJCLR 2022), 2022

2019

Investigating the effect of novel classes in semi-supervised learning.

Alex Yuxuan Peng, Yun Sing Koh, Patricia Riddle, Bernhard Pfahringer

Proceedings of The 11th Asian Conference on Machine Learning, 2019

2018

Using Supervised Pretraining to Improve Generalization of Neural Networks on Binary Classification Problems.

Alex Yuxuan Peng, Yun Sing Koh, Patricia Riddle, Bernhard Pfahringer

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

2017

mHUIMiner: A Fast High Utility Itemset Mining Algorithm for Sparse Datasets.

Alex Yuxuan Peng, Yun Sing Koh, Patricia Riddle

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017