Publications

(* indicates equal contribution)

  • Beware of Model Collapse! Fast and Stable Test-time Adaptation for Robust Question Answering
      Yi Su, Yixin Ji, Juntao Li, Hai Ye, Min Zhang
      In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023, Long paper.

  • Isotropic Representation Can Improve Zero-Shot Cross-Lingual Transfer on Multilingual Language Models
      Yixin Ji, Jikai Wang, Juntao Li, Hai Ye, Min Zhang
      In Findings of the Association for Computational Linguistics: EMNLP 2023 , Long paper.

  • Multi-Source Test-Time Adaptation as Dueling Bandits for Extractive Question Answering
      Hai Ye, Qizhe Xie, Hwee Tou Ng
      In Proceedings of the Association for Computational Linguistic (ACL), 2023, Long paper.
      [paper]

  • Robust Question Answering against Distribution Shifts with Test-Time Adaptation: An Empirical Study
      Hai Ye, Yuyang Ding, Juntao Li, Hwee Tou Ng
      In Findings of the Association for Computational Linguistics: EMNLP 2022 , Long paper.
      [paper] [code]

  • On the Robustness of Question Rewriting Systems to Questions of Varying Hardness
      Hai Ye, Hwee Tou Ng, Wenjuan Han
      In Proceedings of the Association for Computational Linguistic (ACL), 2022, Long paper.
      [paper]

  • On the Effectiveness of Adapter-based Tuning for Pretrained Language Model Adaptation
      Ruidan He*, Linlin Liu*, Hai Ye*, Qingyu Tan, Bosheng Ding, Liying Cheng, David Low, Lidong Bing, Luo Si
      In Proceedings of the Association for Computational Linguistic (ACL), 2021, Long paper.
      [paper]

  • Feature Adaptation of Pre-Trained Language Models across Languages and Domains with Robust Self-Training
      Hai Ye, Qingyu Tan, Ruidan He, Juntao Li, Hwee Tou Ng, Lidong Bing
      In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020, Long paper.
      [paper] [code]

  • Unsupervised Domain Adaptation of a Pretrained Cross-Lingual Language Model
      Juntao Li, Ruidan He, Hai Ye, Hwee Tou Ng, Lidong Bing, Rui Yan
       In Proceedings of International Joint Conferences on Artificial Intelligence (IJCAI), 2020.

  • Jointly Learning Semantic Parser and Natural Language Generator via Dual Information Maximization
      Hai Ye, Wenjie Li, Lu Wang
      In Proceedings of the Association for Computational Linguistic (ACL), 2019, Long paper.
      [paper] [poster]

  • Deep Ranking Based Cost-sensitive Multi-label Learning for Distant Supervision Relation Extraction
      Hai Ye, Zhunchen Luo
      In Information Processing & Management (IPM), 2019
      [paper]

  • Semi-Supervised Learning for Neural Keyphrase Generation
      Hai Ye, Lu Wang
      In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2018, Long paper.
      [paper]

  • Interpretable Charge Predictions for Criminal Cases: Learning to Generate Court Views from Fact Descriptions
      Hai Ye*, Xin Jiang*, Zhunchen Luo*, Wenhan Chao
      In Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics
     (NAACL), 2018, Long paper, Oral.
      [paper] [Data] [Slides]

  • Interpretable Rationale Augmented Charge Prediction System
      Xin Jiang*, Hai Ye*, Zhunchen Luo, Wenhan Chao, Wenjia Ma
     In Proceedings of the International Conference on Computational Linguistics: System Demonstrations (COLING), 2018.

  • Jointly Extracting Relations with Class Ties via Effective Deep Ranking
     Hai Ye, Wenhan Chao, Zhunchen Luo, Zhoujun Li
     In Proceedings of the Association for Computational Linguistic (ACL), 2017, Long paper.
     [paper] [code]

  • Dependency-tree Based Convolutional Stacked Neural Networks for Aspect Term Extraction
     Hai Ye, Zichao Yan, Zhunchen Luo, Wenhan Chao
     In Proceedings of the Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2017.
     [paper]

    Last update: 2023