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Bio:

Hi! I am Hai Ye. I am a Ph.D. candidate at the School of Computing, National University of Singapore (NUS), where I am working with prof. Hwee Tou Ng. My research is supported by AISG Ph.D. Fellowship. I obtained my bachelor degree from Beihang University, Beijing, China.

Research:

Large Language Models, Alignments, Generalization, Learning from Interactions.

Contact: hye.me [at] outlook [dot] com

Selected Papers

(* indicates equal contribution)

 Preference-Guided Reflective Sampling for Aligning Language Models
 Hai Ye, Hwee Tou Ng
 In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024, Long paper.
 [paper] [code] [website]
 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] [code]
 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.
 [paper] [code]
 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]
 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]
 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]

Academic Services

  • Reviewer: ARR, ACL, NAACL, EMNLP, COLING, COLM 2024, NeurIPS 2024, ICLR 2024

  • Volunteer: NAACL 2018

    • Last update: 2024