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2020 – today
- 2024
[c9]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:
Abstract Meaning Representation-Based Logic-Driven Data Augmentation for Logical Reasoning. ACL (Findings) 2024: 5914-5934- [c8]Gaël Gendron, Bao Trung Nguyen, Alex Yuxuan Peng, Michael J. Witbrock, Gillian Dobbie:
Can Large Language Models Learn Independent Causal Mechanisms? EMNLP 2024: 6678-6701 - [c7]Qianqian Qi, Qiming Bao, Alex Yuxuan Peng, Jiamou Liu, Michael Witbrock:
Enhancing Data Augmentation with Knowledge-enriched Data Generation via Dynamic Prompt-tuning Method. IJCNN 2024: 1-8 - [i6]Gaël Gendron, Bao Trung Nguyen, Alex Yuxuan Peng, Michael Witbrock, Gillian Dobbie:
Can Large Language Models Learn Independent Causal Mechanisms? CoRR abs/2402.02636 (2024) - 2023
- [c6]Neset Tan, Trung Nguyen
, Joshua Bensemann, Alex Yuxuan Peng, Qiming Bao, Yang Chen, Mark Gahegan, Michael Witbrock:
Multi2Claim: Generating Scientific Claims from Multi-Choice Questions for Scientific Fact-Checking. EACL 2023: 2644-2656 - [c5]Qianqian Qi, Qiming Bao, Alex Yuxuan Peng, Jiamou Liu, Michael Witbrock:
A Dynamic Prompt-tuning Method for Data Augmentation with Associated Knowledge. Tiny Papers @ ICLR 2023 - [i5]Neset Özkan Tan, Alex Yuxuan Peng, Joshua Bensemann, Qiming Bao, Tim Hartill, Mark Gahegan, Michael Witbrock:
Input-length-shortening and text generation via attention values. CoRR abs/2303.07585 (2023) - [i4]Qiming Bao, Alex Yuxuan Peng, Zhenyun Deng, Wanjun Zhong, Neset Tan, Nathan Young, Yang Chen, Yonghua Zhu, Michael Witbrock, Jiamou Liu:
Contrastive Learning with Logic-driven Data Augmentation for Logical Reasoning over Text. CoRR abs/2305.12599 (2023) - [i3]Qiming Bao, Juho Leinonen, Alex Yuxuan Peng, Wanjun Zhong, Tim Pistotti, Alice Huang, Paul Denny, Michael Witbrock, Jiamou Liu:
Exploring Self-Reinforcement for Improving Learnersourced Multiple-Choice Question Explanations with Large Language Models. CoRR abs/2309.10444 (2023) - [i2]Qiming Bao, Gaël Gendron, Alex Yuxuan Peng, Wanjun Zhong, Neset Tan, Yang Chen, Michael Witbrock, Jiamou Liu:
A Systematic Evaluation of Large Language Models on Out-of-Distribution Logical Reasoning Tasks. CoRR abs/2310.09430 (2023) - 2022
- [c4]Qiming Bao, Alex Yuxuan Peng, Tim Hartill, Neset Tan, Zhenyun Deng, Michael Witbrock, Jiamou Liu:
Multi-Step Deductive Reasoning Over Natural Language: An Empirical Study on Out-of-Distribution Generalisation. NeSy 2022: 202-217 - [i1]Qiming Bao, Alex Yuxuan Peng, Tim Hartill, Neset Tan, Zhenyun Deng, Michael Witbrock, Jiamou Liu:
Multi-Step Deductive Reasoning Over Natural Language: An Empirical Study on Out-of-Distribution Generalisation. CoRR abs/2207.14000 (2022)
2010 – 2019
- 2019
- [c3]Alex Yuxuan Peng, Yun Sing Koh, Patricia Riddle, Bernhard Pfahringer:
Investigating the effect of novel classes in semi-supervised learning. ACML 2019: 615-630 - 2018
- [c2]Alex Yuxuan Peng, Yun Sing Koh, Patricia Riddle, Bernhard Pfahringer:
Using Supervised Pretraining to Improve Generalization of Neural Networks on Binary Classification Problems. ECML/PKDD (1) 2018: 410-425 - 2017
- [c1]Alex Yuxuan Peng, Yun Sing Koh, Patricia Riddle:
mHUIMiner: A Fast High Utility Itemset Mining Algorithm for Sparse Datasets. PAKDD (2) 2017: 196-207
Coauthor Index
aka: Michael J. Witbrock
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