| A survey of large language models attribution D Li, Z Sun, X Hu, Z Liu, Z Chen, B Hu, A Wu, M Zhang arXiv preprint arXiv:2311.03731, 2023 | 28 | 2023 |
| Separate the wheat from the chaff: Model deficiency unlearning via parameter-efficient module operation X Hu, D Li, B Hu, Z Zheng, Z Liu, M Zhang Proceedings of the AAAI Conference on Artificial Intelligence 38 (16), 18252 …, 2024 | 20 | 2024 |
| Improving Attributed Text Generation of Large Language Models via Preference Learning D Li, Z Sun, B Hu, Z Liu, X Hu, X Liu, M Zhang arXiv preprint arXiv:2403.18381, 2024 | 8 | 2024 |
| Funnelrag: A coarse-to-fine progressive retrieval paradigm for rag X Zhao, Y Zhong, Z Sun, X Hu, Z Liu, D Li, B Hu, M Zhang arXiv preprint arXiv:2410.10293, 2024 | 3 | 2024 |
| TruthReader: Towards Trustworthy Document Assistant Chatbot with Reliable Attribution D Li, X Hu, Z Sun, B Hu, S Ye, Z Shan, Q Chen, M Zhang Proceedings of the 2024 Conference on Empirical Methods in Natural Language …, 2024 | 1 | 2024 |
| Take Off the Training Wheels! Progressive In-Context Learning for Effective Alignment Z Liu, D Li, X Hu, X Zhao, Y Chen, B Hu, M Zhang Proceedings of the 2024 Conference on Empirical Methods in Natural Language …, 2024 | 1 | 2024 |
| In-Context Learning State Vector with Inner and Momentum Optimization D Li, Z Liu, X Hu, Z Sun, B Hu, M Zhang arXiv preprint arXiv:2404.11225, 2024 | 1 | 2024 |
| Does the Generator Mind its Contexts? An Analysis of Generative Model Faithfulness under Context Transfer X Hu, B Hu, D Li, X Li, L Shang arXiv preprint arXiv:2402.14488, 2024 | 1 | 2024 |
| HITSZ TMG at ICASSP 2023 SPGC Shared Task: Leveraging Pre-training and Distillation Method for Title Generation with Limited Resource T Xu, Z Zheng, X Hu, Z Sun, Y Zhao, B Hu ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 1 | 2023 |
| KaLM-Embedding: Superior Training Data Brings A Stronger Embedding Model X Hu, Z Shan, X Zhao, Z Sun, Z Liu, D Li, S Ye, X Wei, Q Chen, B Hu, ... arXiv preprint arXiv:2501.01028, 2025 | | 2025 |
| CMT: A Memory Compression Method for Continual Knowledge Learning of Large Language Models D Li, Z Sun, X Hu, B Hu, M Zhang arXiv preprint arXiv:2412.07393, 2024 | | 2024 |
| MSDF: A General Open-Domain Multi-skill Dialog Framework Y Zhao, X Hu, Y Li, B Hu, D Li, S Chen, X Wang Natural Language Processing and Chinese Computing: 10th CCF International …, 2021 | | 2021 |