Alex Yuxuan Peng

17 papers A* 2A 1B 1C 2Journal 6Unranked 5
YearRankTypeTitle / Venue / Authors
2025 A* conf
Exploring Iterative Enhancement for Improving Learnersourced Multiple-Choice Question Explanations with Large Language Models.
AAAI
Qiming Bao, Juho Leinonen, Alex Yuxuan Peng, Wanjun Zhong, Gaël Gendron, Timothy Pistotti, Alice Huang, Paul Denny, Michael Witbrock, Jiamou Liu
2024 — conf
Abstract Meaning Representation-Based Logic-Driven Data Augmentation for Logical Reasoning.
ACL (Findings)
Qiming Bao, Alex Yuxuan Peng, Zhenyun Deng, Wanjun Zhong, Gaël Gendron, Timothy Pistotti, Neset Tan, Nathan Young, Yang Chen, Yonghua Zhu, Paul Denny, Michael Witbrock, Jiamou Liu
2024 — conf
Assessing and Enhancing the Robustness of Large Language Models with Task Structure Variations for Logical Reasoning.
ICONIP (10)
Qiming Bao, Gaël Gendron, Alex Yuxuan Peng, Wanjun Zhong, Neset Tan, Yang Chen, Michael Witbrock, Jiamou Liu
2024 A* conf
Can Large Language Models Learn Independent Causal Mechanisms?
EMNLP
Gaël Gendron, Bao Trung Nguyen, Alex Yuxuan Peng, Michael J. Witbrock, Gillian Dobbie
2024 J jnl
Can Large Language Models Learn Independent Causal Mechanisms?
CoRR
Gaël Gendron, Bao Trung Nguyen, Alex Yuxuan Peng, Michael Witbrock, Gillian Dobbie
2024 B conf
Enhancing Data Augmentation with Knowledge-enriched Data Generation via Dynamic Prompt-tuning Method.
IJCNN
Qianqian Qi, Qiming Bao, Alex Yuxuan Peng, Jiamou Liu, Michael Witbrock
2023 — conf
A Dynamic Prompt-tuning Method for Data Augmentation with Associated Knowledge.
Tiny Papers @ ICLR
Qianqian Qi, Qiming Bao, Alex Yuxuan Peng, Jiamou Liu, Michael Witbrock
2023 J jnl
A Systematic Evaluation of Large Language Models on Out-of-Distribution Logical Reasoning Tasks.
CoRR
Qiming Bao, Gaël Gendron, Alex Yuxuan Peng, Wanjun Zhong, Neset Tan, Yang Chen, Michael Witbrock, Jiamou Liu
2023 J jnl
Contrastive Learning with Logic-driven Data Augmentation for Logical Reasoning over Text.
CoRR
Qiming Bao, Alex Yuxuan Peng, Zhenyun Deng, Wanjun Zhong, Neset Tan, Nathan Young, Yang Chen, Yonghua Zhu, Michael Witbrock, Jiamou Liu
2023 J jnl
Exploring Self-Reinforcement for Improving Learnersourced Multiple-Choice Question Explanations with Large Language Models.
CoRR
Qiming Bao, Juho Leinonen, Alex Yuxuan Peng, Wanjun Zhong, Tim Pistotti, Alice Huang, Paul Denny, Michael Witbrock, Jiamou Liu
2023 J jnl
Input-length-shortening and text generation via attention values.
CoRR
Neset Özkan Tan, Alex Yuxuan Peng, Joshua Bensemann, Qiming Bao, Tim Hartill, Mark Gahegan, Michael Witbrock
2023 A conf
Multi2Claim: Generating Scientific Claims from Multi-Choice Questions for Scientific Fact-Checking.
EACL
Neset Tan, Trung Nguyen, Joshua Bensemann, Alex Yuxuan Peng, Qiming Bao, Yang Chen, Mark Gahegan, Michael Witbrock
2022 C conf
Multi-Step Deductive Reasoning Over Natural Language: An Empirical Study on Out-of-Distribution Generalisation.
NeSy
Qiming Bao, Alex Yuxuan Peng, Tim Hartill, Neset Tan, Zhenyun Deng, Michael Witbrock, Jiamou Liu
2022 J jnl
Multi-Step Deductive Reasoning Over Natural Language: An Empirical Study on Out-of-Distribution Generalisation.
CoRR
Qiming Bao, Alex Yuxuan Peng, Tim Hartill, Neset Tan, Zhenyun Deng, Michael Witbrock, Jiamou Liu
2019 C conf
Investigating the effect of novel classes in semi-supervised learning.
ACML
Alex Yuxuan Peng, Yun Sing Koh, Patricia Riddle, Bernhard Pfahringer
2018 — conf
Using Supervised Pretraining to Improve Generalization of Neural Networks on Binary Classification Problems.
ECML/PKDD (1)
Alex Yuxuan Peng, Yun Sing Koh, Patricia Riddle, Bernhard Pfahringer
2017 — conf
mHUIMiner: A Fast High Utility Itemset Mining Algorithm for Sparse Datasets.
PAKDD (2)
Alex Yuxuan Peng, Yun Sing Koh, Patricia Riddle