Unified demonstration retriever for in-context learning X Li, K Lv, H Yan, T Lin, W Zhu, Y Ni, G Xie, X Wang, X Qiu arXiv preprint arXiv:2305.04320, 2023 | 54 | 2023 |
InternLM2 Technical Report Z Cai, M Cao, H Chen, K Chen, K Chen, X Chen, X Chen, Z Chen, Z Chen, ... arXiv preprint arXiv:2403.17297, 2024 | 46 | 2024 |
Full parameter fine-tuning for large language models with limited resources K Lv, Y Yang, T Liu, Q Gao, Q Guo, X Qiu arXiv preprint arXiv:2306.09782, 2023 | 45 | 2023 |
Cont: Contrastive neural text generation C An, J Feng, K Lv, L Kong, X Qiu, X Huang Advances in Neural Information Processing Systems 35, 2197-2210, 2022 | 31 | 2022 |
AdaLomo: Low-memory Optimization with Adaptive Learning Rate K Lv, H Yan, Q Guo, H Lv, X Qiu arXiv preprint arXiv:2310.10195, 2023 | 4 | 2023 |
Collie: Collaborative training of large language models in an efficient way K Lv, S Zhang, T Gu, S Xing, J Hong, K Chen, X Liu, Y Yang, H Guo, T Liu, ... Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | 3 | 2023 |
LongWanjuan: Towards Systematic Measurement for Long Text Quality K Lv, X Liu, Q Guo, H Yan, C He, X Qiu, D Lin arXiv preprint arXiv:2402.13583, 2024 | 2 | 2024 |