On the effectiveness of adapter-based tuning for pretrained language model adaptation R He*, L Liu*, H Ye*, Q Tan, B Ding, L Cheng, JW Low, L Bing, L Si arXiv preprint arXiv:2106.03164, 2021 | 212 | 2021 |
Interpretable charge predictions for criminal cases: Learning to generate court views from fact descriptions H Ye, X Jiang, Z Luo, W Chao arXiv preprint arXiv:1802.08504, 2018 | 165 | 2018 |
Semi-supervised learning for neural keyphrase generation H Ye, L Wang Conference on Empirical Methods in Natural Language Processing (EMNLP), 4142 …, 2018 | 120 | 2018 |
Interpretable rationale augmented charge prediction system X Jiang*, H Ye*, Z Luo*, W Chao, W Ma Proceedings of the 27th International Conference on Computational …, 2018 | 87 | 2018 |
Dependency-tree based convolutional neural networks for aspect term extraction H Ye, Z Yan, Z Luo, W Chao Pacific-Asia Conference on Knowledge Discovery and Data Mining, 350-362, 2017 | 58 | 2017 |
Feature adaptation of pre-trained language models across languages and domains with robust self-training H Ye, Q Tan, R He, J Li, HT Ng, L Bing arXiv preprint arXiv:2009.11538, 2020 | 48 | 2020 |
Jointly extracting relations with class ties via effective deep ranking H Ye, W Chao, Z Luo, Z Li 55th Annual Meeting of the Association for Computational Linguistics (ACL), 2017 | 40 | 2017 |
Unsupervised domain adaptation of a pretrained cross-lingual language model J Li, R He, H Ye, HT Ng, L Bing, R Yan IJCAI, 2020 | 31 | 2020 |
Jointly Learning Semantic Parser and Natural Language Generator via Dual Information Maximization H Ye, W Li, L Wang 57th Conference of the Association for Computational Linguistics 1, 2090--2101, 2019 | 29* | 2019 |
Deep ranking based cost-sensitive multi-label learning for distant supervision relation extraction H Ye, Z Luo Information Processing & Management 57 (6), 102096, 2020 | 21 | 2020 |
Robust Question Answering against Distribution Shifts with Test-Time Adaptation: An Empirical Study H Ye, Y Ding, J Li, HT Ng EMNLP, 2023 | 10 | 2023 |
Multi-Source Test-Time Adaptation as Dueling Bandits for Extractive Question Answering H Ye, Q Xie, HT Ng ACL 2023, 2023 | 7 | 2023 |
Beware of Model Collapse! Fast and Stable Test-time Adaptation for Robust Question Answering Y Su, Y Ji, J Li, H Ye, M Zhang Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | 4 | 2023 |
Isotropic representation can improve zero-shot cross-lingual transfer on multilingual language models Y Ji, J Wang, J Li, H Ye, M Zhang Findings of the Association for Computational Linguistics: EMNLP 2023, 8104-8118, 2023 | 3 | 2023 |
Self-Judge: Selective Instruction Following with Alignment Self-Evaluation H Ye, HT Ng arXiv preprint arXiv:2409.00935, 2024 | 2 | 2024 |
Test-Time Adaptation with Perturbation Consistency Learning Y Su, Y Ji, J Li, H Ye, M Zhang arXiv preprint arXiv:2304.12764, 2023 | 2 | 2023 |
On the Robustness of Question Rewriting Systems to Questions of Varying Hardness H Ye, HT Ng, W Han arXiv preprint arXiv:2311.06807, 2022 | 2 | 2022 |
Preference-Guided Reflective Sampling for Aligning Language Models H Ye, HT Ng EMNLP 2024 Main, 2024 | 1 | 2024 |
Test-time Computing: from System-1 Thinking to System-2 Thinking Y Ji, J Li, H Ye, K Wu, J Xu, L Mo, M Zhang arXiv preprint arXiv:2501.02497, 2025 | | 2025 |
Multi-Agent Sampling: Scaling Inference Compute for Data Synthesis with Tree Search-Based Agentic Collaboration H Ye, M Lin, HT Ng, S Yan arXiv preprint arXiv:2412.17061, 2024 | | 2024 |