Li-Ming Zhan

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 26

Top Topics

Training Procedure

Avoid Overfitting

Question Answering

Top Venues

Publications

Bo Liu, Li-Ming Zhan, Zexin Lu, Yujie Feng, Lei Xue, Xiao-Ming Wu
How Good Are LLMs at Out-of-Distribution Detection? LREC/COLING (2024)
Li-Ming Zhan, Bo Liu, Xiao-Ming Wu
VI-OOD: A Unified Representation Learning Framework for Textual Out-of-distribution Detection. CoRR (2024)
Li-Ming Zhan, Bo Liu, Xiao-Ming Wu
VI-OOD: A Unified Framework of Representation Learning for Textual Out-of-distribution Detection. LREC/COLING (2024)
Yujie Feng, Bo Liu, Xiaoyu Dong, Zexin Lu, Li-Ming Zhan, Xiao-Ming Wu, Albert Y. S. Lam
Continual Dialogue State Tracking via Reason-of-Select Distillation. ACL (Findings) (2024)
Haode Zhang, Haowen Liang, Li-Ming Zhan, Xiao-Ming Wu, Albert Y. S. Lam
Revisit Few-shot Intent Classification with PLMs: Direct Fine-tuning vs. Continual Pre-training. CoRR (2023)
Haode Zhang, Haowen Liang, Li-Ming Zhan, Xiao-Ming Wu, Albert Y. S. Lam
Revisit Few-shot Intent Classification with PLMs: Direct Fine-tuning vs. Continual Pre-training. ACL (Findings) (2023)
Bo Liu, Li-Ming Zhan, Li Xu, Xiao-Ming Wu
Medical Visual Question Answering via Conditional Reasoning and Contrastive Learning. IEEE Trans. Medical Imaging 42 (5) (2023)
Haode Zhang, Haowen Liang, Yuwei Zhang, Li-Ming Zhan, Xiao-Ming Wu, Xiaolei Lu, Albert Y. S. Lam
Fine-tuning Pre-trained Language Models for Few-shot Intent Detection: Supervised Pre-training and Isotropization. CoRR (2022)
Li-Ming Zhan, Haowen Liang, Lu Fan, Xiao-Ming Wu, Albert Y. S. Lam
A Closer Look at Few-Shot Out-of-Distribution Intent Detection. COLING (2022)
Haode Zhang, Haowen Liang, Yuwei Zhang, Li-Ming Zhan, Xiao-Ming Wu, Xiaolei Lu, Albert Y. S. Lam
Fine-tuning Pre-trained Language Models for Few-shot Intent Detection: Supervised Pre-training and Isotropization. NAACL-HLT (2022)
Yuwei Zhang, Haode Zhang, Li-Ming Zhan, Xiao-Ming Wu, Albert Y. S. Lam
New Intent Discovery with Pre-training and Contrastive Learning. ACL (1) (2022)
Yuwei Zhang, Haode Zhang, Li-Ming Zhan, Xiao-Ming Wu, Albert Y. S. Lam
New Intent Discovery with Pre-training and Contrastive Learning. CoRR (2022)
Bo Liu, Li-Ming Zhan, Li Xu, Lin Ma, Yan Yang, Xiao-Ming Wu
SLAKE: A Semantically-Labeled Knowledge-Enhanced Dataset for Medical Visual Question Answering. CoRR (2021)
Li-Ming Zhan, Haowen Liang, Bo Liu, Lu Fan, Xiao-Ming Wu, Albert Y. S. Lam
Out-of-Scope Intent Detection with Self-Supervision and Discriminative Training. ACL/IJCNLP (1) (2021)
Guangyuan Shi, Jiaxin Chen, Wenlong Zhang, Li-Ming Zhan, Xiao-Ming Wu
Overcoming Catastrophic Forgetting in Incremental Few-Shot Learning by Finding Flat Minima. NeurIPS (2021)
Haode Zhang, Yuwei Zhang, Li-Ming Zhan, Jiaxin Chen, Guangyuan Shi, Xiao-Ming Wu, Albert Y. S. Lam
Effectiveness of Pre-training for Few-shot Intent Classification. EMNLP (Findings) (2021)
Haode Zhang, Yuwei Zhang, Li-Ming Zhan, Jiaxin Chen, Guangyuan Shi, Xiao-Ming Wu, Albert Y. S. Lam
Effectiveness of Pre-training for Few-shot Intent Classification. CoRR (2021)
Jiaxin Chen, Li-Ming Zhan, Xiao-Ming Wu, Fu-Lai Chung
Adaptation-Agnostic Meta-Training. CoRR (2021)
Li-Ming Zhan, Haowen Liang, Bo Liu, Lu Fan, Xiao-Ming Wu, Albert Y. S. Lam
Out-of-Scope Intent Detection with Self-Supervision and Discriminative Training. CoRR (2021)
Guangyuan Shi, Jiaxin Chen, Wenlong Zhang, Li-Ming Zhan, Xiao-Ming Wu
Overcoming Catastrophic Forgetting in Incremental Few-Shot Learning by Finding Flat Minima. CoRR (2021)
Bo Liu, Li-Ming Zhan, Li Xu, Lin Ma, Yan Yang, Xiao-Ming Wu
Slake: A Semantically-Labeled Knowledge-Enhanced Dataset For Medical Visual Question Answering. ISBI (2021)
Bo Liu, Li-Ming Zhan, Xiao-Ming Wu
Contrastive Pre-training and Representation Distillation for Medical Visual Question Answering Based on Radiology Images. MICCAI (2) (2021)
Jiaxin Chen, Xiao-Ming Wu, Yanke Li, Qimai Li, Li-Ming Zhan, Fu-Lai Chung
A Closer Look at the Training Strategy for Modern Meta-Learning. NeurIPS (2020)
Li-Ming Zhan, Bo Liu, Lu Fan, Jiaxin Chen, Xiao-Ming Wu
Medical Visual Question Answering via Conditional Reasoning. ACM Multimedia (2020)
Jiaxin Chen, Li-Ming Zhan, Xiao-Ming Wu, Fu-Lai Chung
Variational Metric Scaling for Metric-Based Meta-Learning. AAAI (2020)
Jiaxin Chen, Li-Ming Zhan, Xiao-Ming Wu, Fu-Lai Chung
Variational Metric Scaling for Metric-Based Meta-Learning. CoRR (2019)