Qiming Bao

Orcid: 0000-0002-1000-7383

Affiliations:
  • University of Auckland, Department of Computer Science, New Zealand


According to our database1, Qiming Bao authored at least 17 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
CoRA: Optimizing Low-Rank Adaptation with Common Subspace of Large Language Models.
CoRR, 2024

ChatLogic: Integrating Logic Programming with Large Language Models for Multi-Step Reasoning.
Proceedings of the International Joint Conference on Neural Networks, 2024

Enhancing Data Augmentation with Knowledge-enriched Data Generation via Dynamic Prompt-tuning Method.
Proceedings of the International Joint Conference on Neural Networks, 2024

Large Language Models Are Not Strong Abstract Reasoners.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Abstract Meaning Representation-Based Logic-Driven Data Augmentation for Logical Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
A Systematic Evaluation of Large Language Models on Out-of-Distribution Logical Reasoning Tasks.
CoRR, 2023

Exploring Self-Reinforcement for Improving Learnersourced Multiple-Choice Question Explanations with Large Language Models.
CoRR, 2023

Large Language Models Are Not Abstract Reasoners.
CoRR, 2023

Contrastive Learning with Logic-driven Data Augmentation for Logical Reasoning over Text.
CoRR, 2023

Input-length-shortening and text generation via attention values.
CoRR, 2023

A Dynamic Prompt-tuning Method for Data Augmentation with Associated Knowledge.
Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

Multi2Claim: Generating Scientific Claims from Multi-Choice Questions for Scientific Fact-Checking.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

2022
Relating Blindsight and AI: A Review.
J. Artif. Intell. Conscious., 2022

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

AbductionRules: Training Transformers to Explain Unexpected Inputs.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

DeepQR: Neural-Based Quality Ratings for Learnersourced Multiple-Choice Questions.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2020
HHH: An Online Medical Chatbot System based on Knowledge Graph and Hierarchical Bi-Directional Attention.
Proceedings of the Australasian Computer Science Week, 2020


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