| A robust adversarial training approach to machine reading comprehension K Liu, X Liu, A Yang, J Liu, J Su, S Li, Q She Proceedings of the AAAI conference on artificial intelligence 34 (05), 8392-8400, 2020 | 42 | 2020 |
| An Iterative Multi-Source Mutual Knowledge Transfer Framework for Machine Reading Comprehension. X Liu, K Liu, X Li, J Su, Y Ge, B Wang, J Luo IJCAI, 3794-3800, 2020 | 15 | 2020 |
| Kgr4: Retrieval, retrospect, refine and rethink for commonsense generation X Liu, D Liu, B Yang, H Zhang, J Ding, W Yao, W Luo, H Zhang, J Su Proceedings of the AAAI Conference on Artificial Intelligence 36 (10), 11029 …, 2022 | 14 | 2022 |
| Bridging Subword Gaps in Pretrain-Finetune Paradigm for Natural Language Generation X Liu, B Yang, D Liu, H Zhang, W Luo, M Zhang, H Zhang, J Su Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 14 | 2021 |
| BOLT: Fast Energy-based Controlled Text Generation with Tunable Biases X Liu, M Khalifa, L Wang ACL 2023, 2023 | 12 | 2023 |
| LitCab: Lightweight Language Model Calibration over Short- and Long-form Responses X Liu, M Khalifa, L Wang ICLR 2024, 2023 | 2* | 2023 |
| Getting the Most out of Simile Recognition X Wang, L Song, X Liu, C Zhou, J Su EMNLP (Findings) 2022, 2022 | 2 | 2022 |
| LitCab: Lightweight Language Model Calibration over Short- and Long-form Responses X Liu, M Khalifa, L Wang The Twelfth International Conference on Learning Representations, 2023 | 1 | 2023 |
| Enhancing Language Model Factuality via Activation-Based Confidence Calibration and Guided Decoding X Liu, FF Bayat, L Wang arXiv preprint arXiv:2406.13230, 2024 | | 2024 |
| LITO: Learnable Intervention for Truthfulness Optimization FF Bayat, X Liu, HV Jagadish, L Wang ACL (Findings) 2024, 2024 | | 2024 |
| IBADR: an Iterative Bias-Aware Dataset Refinement Framework for Debiasing NLU models X Wang, X Liu, L Wang, Y Wang, J Su, H Wu EMNLP 2023, 2023 | | 2023 |
Jinsong SuXiamen UniversityVerified email at xmu.edu.cn
