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Haode Zhang
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2020 – today
- 2024
- [i6]Haode Zhang, Xiao-Ming Wu, Albert Y. S. Lam:
Minimizing PLM-Based Few-Shot Intent Detectors. CoRR abs/2407.09943 (2024) - 2023
- [c5]Xiaolei Lu, Jianghong Ma, Haode Zhang:
Asymmetric feature interaction for interpreting model predictions. ACL (Findings) 2023: 4666-4678 - [c4]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: 11105-11121 - [i5]Xiaolei Lu, Jianghong Ma, Haode Zhang:
Asymmetric feature interaction for interpreting model predictions. CoRR abs/2305.07224 (2023) - [i4]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 abs/2306.05278 (2023) - 2022
- [c3]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: 256-269 - [c2]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: 532-542 - [i3]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 abs/2205.07208 (2022) - [i2]Yuwei Zhang, Haode Zhang, Li-Ming Zhan, Xiao-Ming Wu
New Intent Discovery with Pre-training and Contrastive Learning. CoRR abs/2205.12914 (2022) - 2021
- [c1]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: 1114-1120 - [i1]Haode Zhang, Yuwei Zhang
Effectiveness of Pre-training for Few-shot Intent Classification. CoRR abs/2109.05782 (2021)
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