DeepQR: Neural-Based Quality Ratings for Learnersourced Multiple-Choice Questions. - Lin Ni; Qiming Bao 001; Xiaoxuan Li 001; Qianqian Qi 001; Paul Denny 001; Jim Warren; Michael Witbrock; Jiamou Liu (AAAI, 2022)

Prompt-based Conservation Learning for Multi-hop Question Answering. - Zhenyun Deng; Yonghua Zhu; Yang Chen 028; Qianqian Qi 001; Michael Witbrock; Patricia Riddle (COLING, 2022)

TaKG: A New Dataset for Paragraph-level Table-to-Text Generation Enhanced with Knowledge Graphs. - Qianqian Qi 001; Zhenyun Deng; Yonghua Zhu; Lia Jisoo Lee; Michael Witbrock; Jiamou Liu (AACL/IJCNLP (Findings), 2022)

Boosting QA Performance Through SA-Net and AA-Net with the Read+Verify Framework. - Liang Tang; Qianqian Qi 001; Qinghua Shang; Yuguang Cai; Jiamou Liu; Michael Witbrock; Kaokao Lv (AusDM, 2023)

A Dynamic Prompt-tuning Method for Data Augmentation with Associated Knowledge. - Qianqian Qi 001; Qiming Bao 001; Alex Yuxuan Peng; Jiamou Liu; Michael Witbrock (Tiny Papers @ ICLR, 2023)

Enhancing Data Augmentation with Knowledge-enriched Data Generation via Dynamic Prompt-tuning Method. - Qianqian Qi 001; Qiming Bao 001; Alex Yuxuan Peng; Jiamou Liu; Michael Witbrock (IJCNN, 2024)

Epic-Level Text Generation with LLM through Auto-prompted Reinforcement Learning. - Qianqian Qi 001; Lin Ni; Zhongsheng Wang; Libo Zhang 006; Jiamou Liu; Michael Witbrock (IJCNN, 2024)