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Qiming Bao
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Year
HHH: An Online Medical Chatbot System based on Knowledge Graph and Hierarchical Bi-Directional Attention
Q Bao, L Ni, J Liu
Proceedings of the Australasian Computer Science Week Multiconference (ACSW …, 2020
642020
Large Language Models Are Not Abstract Reasoners
G Gendron, Q Bao, M Witbrock, G Dobbie
The 33rd International Joint Conference on Artificial Intelligence (IJCAI 2024), 2024
312024
DeepQR: Neural-based Quality Ratings for Learnersourced Multiple-Choice Questions
L Ni, Q Bao, X Li, Q Qi, P Denny, J Warren, M Witbrock, J Liu
The 12th AAAI Symposium on Educational Advances in Artificial Intelligence …, 2021
202021
Large language models are not strong abstract reasoners
G Gendron, Q Bao, M Witbrock, G Dobbie
ICLR 2024 Workshop: How Far Are We From AGI, 2024
192024
AbductionRules: Training Transformers to Explain Unexpected Inputs
N Young, Q Bao, JL Bensemann, MJ Witbrock
The Findings of 60th Annual Meeting of the Association for Computational …, 2022
182022
Multi-Step Deductive Reasoning Over Natural Language: An Empirical Study on Out-of-Distribution Generalisation
Q Bao, AY Peng, T Hartill, NÖ Tan, Z Deng, M Witbrock, J Liu
The 2nd International Joint Conference on Learning & Reasoning and 16th …, 2022
102022
Multi2Claim: Generating Scientific Claims from Multi-Choice Questions for Scientific Fact-Checking
NO TAN, T Nguyen, J Bensemann, A Peng, Q Bao, Y Chen, M Gahegan, ...
The 17th Conference of the European Chapter of the Association for …, 2023
92023
A Systematic Evaluation of Large Language Models on Out-of-Distribution Logical Reasoning Tasks
Q Bao, G Gendron, A Peng, W Zhong, N Tan, Y Chen, M Witbrock, J Liu
The first edition of the Symposium on Advances and Open Problems in Large …, 2023
62023
Contrastive Learning with Logic-driven Data Augmentation for Logical Reasoning over Text
Q Bao, A Peng, Z Deng, W Zhong, N Tan, N Young, Y Chen, Y Zhu, ...
The first edition of the Symposium on Advances and Open Problems in Large …, 2023
62023
Large Language Models Are Not Strong Abstract Reasoners Yet
G Gendron, Q Bao, M Witbrock, G Dobbie
ICLR 2024 Workshop: How Far Are We From AGI, 2024
32024
Enhancing Logical Reasoning of Large Language Models through Logic-Driven Data Augmentation
Q Bao, A Peng, Z Deng, W Zhong, G Gendron, T Pistotti, N Tan, N Young, ...
The first edition of the Symposium on Advances and Open Problems in Large …, 2023
32023
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, ...
ICLR 2024 Workshop: How Far Are We From AGI, 2024
22024
PARARULE Plus: A Larger Deep Multi-Step Reasoning Dataset over Natural Language
Q Bao
https://github.com/Strong-AI-Lab/PARARULE-Plus, 2021
22021
Natural Language Processing and Reasoning
Q Bao, M Witbrock, J Liu
IEEE Vehicular Technology Society (VTS) New Zealand North Chapter and IEEE …, 2022
12022
Relating Blindsight and AI: A Review
J Bensemann, Q Bao, G Gendron, T Hartill, M Witbrock
Journal of Artificial Intelligence and Consciousness, 1-15, 2021
12021
Assessing and Enhancing the Robustness of Large Language Models with Task Structure Variations for Logical Reasoning
Q Bao, G Gendron, A Peng, W Zhong, N Tan, Y Chen, M Witbrock, J Liu
The 31st International Conference on Neural Information Processing (ICONIP), 2024
2024
CoRA: Optimizing Low-Rank Adaptation with Common Subspace of Large Language Models
X Xiao, S Shen, Q Bao, H Rong, K Liu, Z Wang, J Liu
arXiv preprint arXiv:2409.02119, 2024
2024
Abstract Meaning Representation-Based Logic-Driven Data Augmentation for Logical Reasoning
Q Bao, A Peng, Z Deng, W Zhong, G Gendron, T Pistotti, N Tan, N Young, ...
The Findings of 62nd Annual Meeting of the Association for Computational …, 2024
2024
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, 2024
2024
Enhancing Data Augmentation with Knowledge-Enriched Data Generation via Dynamic Prompt-Tuning Method
Q Qi, Q Bao*, A Yuxuan Peng, J Liu, M Witbrock
IEEE World Congress on Computational Intelligence (IJCNN 2024), 2024
2024
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