Hardness-guided domain adaptation to recognise biomedical named entities under low-resource scenarios. - Ngoc Dang Nguyen; Lan Du 002; Wray L. Buntine; Changyou Chen; Richard Beare (EMNLP, 2022)

AUC Maximization for Low-Resource Named Entity Recognition. - Ngoc Dang Nguyen; Wei Tan; Lan Du 002; Wray L. Buntine; Richard Beare; Changyou Chen (AAAI, 2023)

Using Large Language Models to Provide Explanatory Feedback to Human Tutors. - Jionghao Lin; Danielle R. Thomas; Feifei Han; Shivang Gupta; Wei Tan; Ngoc Dang Nguyen; Kenneth R. Koedinger (Human-AI Math Tutoring@AIED, 2023)

Robust Educational Dialogue Act Classifiers with Low-Resource and Imbalanced Datasets. - Jionghao Lin; Wei Tan; Ngoc Dang Nguyen; David Lang; Lan Du 002; Wray L. Buntine; Richard Beare; Guanliang Chen; Dragan Gasevic (AIED, 2023)

Re-weighting Tokens: A Simple and Effective Active Learning Strategy for Named Entity Recognition. - Haocheng Luo; Wei Tan; Ngoc Dang Nguyen; Lan Du 002 (EMNLP (Findings), 2023)

Low-Resource Named Entity Recognition: Can One-vs-All AUC Maximization Help? - Ngoc Dang Nguyen; Wei Tan; Lan Du 002; Wray L. Buntine; Richard Beare; Changyou Chen (ICDM, 2023)

Harnessing the Power of Beta Scoring in Deep Active Learning for Multi-Label Text Classification. - Wei Tan; Ngoc Dang Nguyen; Lan Du 002; Wray L. Buntine (AAAI, 2024)

How Can I Improve? Using GPT to Highlight the Desired and Undesired Parts of Open-ended Responses. - Jionghao Lin; Eason Chen; Zifei FeiFei Han; Ashish Gurung; Danielle R. Thomas; Wei Tan; Ngoc Dang Nguyen; Kenneth R. Koedinger (EDM, 2024)

VN-SLU: A Vietnamese Spoken Language Understanding Dataset. - Tuyen Tran; Khanh Le; Ngoc Dang Nguyen; Minh Vu; Huyen Ngo; Woomyoung Park; Thi Thu Trang Nguyen (INTERSPEECH, 2024)

How Can I Improve? Using GPT to Highlight the Desired and Undesired Parts of Open-ended Responses. - Jionghao Lin; Eason Chen; Zeifei Han; Ashish Gurung; Danielle R. Thomas; Wei Tan; Ngoc Dang Nguyen; Kenneth R. Koedinger (CoRR, 2024)