Li-Ming Zhan
2024
How Good Are LLMs at Out-of-Distribution Detection?
Bo Liu
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Li-Ming Zhan
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Zexin Lu
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Yujie Feng
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Lei Xue
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Xiao-Ming Wu
Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
VI-OOD: A Unified Framework of Representation Learning for Textual Out-of-distribution Detection
Li-Ming Zhan
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Bo Liu
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Xiao-Ming Wu
Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
2023
Revisit Few-shot Intent Classification with PLMs: Direct Fine-tuning vs. Continual Pre-training
Haode Zhang
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Haowen Liang
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Li-Ming Zhan
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Xiao-Ming Wu
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Albert Y.S. Lam
Findings of the Association for Computational Linguistics: ACL 2023
2022
New Intent Discovery with Pre-training and Contrastive Learning
Yuwei Zhang
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Haode Zhang
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Li-Ming Zhan
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Xiao-Ming Wu
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Albert Lam
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Fine-tuning Pre-trained Language Models for Few-shot Intent Detection: Supervised Pre-training and Isotropization
Haode Zhang
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Haowen Liang
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Yuwei Zhang
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Li-Ming Zhan
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Xiao-Ming Wu
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Xiaolei Lu
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Albert Lam
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
A Closer Look at Few-Shot Out-of-Distribution Intent Detection
Li-Ming Zhan
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Haowen Liang
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Lu Fan
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Xiao-Ming Wu
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Albert Y.S. Lam
Proceedings of the 29th International Conference on Computational Linguistics
2021
Effectiveness of Pre-training for Few-shot Intent Classification
Haode Zhang
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Yuwei Zhang
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Li-Ming Zhan
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Jiaxin Chen
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Guangyuan Shi
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Xiao-Ming Wu
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Albert Y.S. Lam
Findings of the Association for Computational Linguistics: EMNLP 2021
Out-of-Scope Intent Detection with Self-Supervision and Discriminative Training
Li-Ming Zhan
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Haowen Liang
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Bo Liu
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Lu Fan
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Xiao-Ming Wu
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Albert Y.S. Lam
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
Co-authors
- Xiao-Ming Wu 8
- Haode Zhang 4
- Albert Y.S. Lam 4
- Haowen Liang 4
- Yuwei Zhang 3
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