Promptbert: Improving bert sentence embeddings with prompts T Jiang, J Jiao, S Huang, Z Zhang, D Wang, F Zhuang, F Wei, H Huang, ... arXiv preprint arXiv:2201.04337, 2022 | 192 | 2022 |
Lightxml: Transformer with dynamic negative sampling for high-performance extreme multi-label text classification T Jiang, D Wang, L Sun, H Yang, Z Zhao, F Zhuang Proceedings of the AAAI conference on artificial intelligence 35 (9), 7987-7994, 2021 | 169 | 2021 |
Scaling sentence embeddings with large language models T Jiang, S Huang, Z Luan, D Wang, F Zhuang arXiv preprint arXiv:2307.16645, 2023 | 66 | 2023 |
Exploiting global and local hierarchies for hierarchical text classification T Jiang, D Wang, L Sun, Z Chen, F Zhuang, Q Yang arXiv preprint arXiv:2205.02613, 2022 | 40 | 2022 |
Mora: High-rank updating for parameter-efficient fine-tuning T Jiang, S Huang, S Luo, Z Zhang, H Huang, F Wei, W Deng, F Sun, ... arXiv preprint arXiv:2405.12130, 2024 | 26 | 2024 |
E5-v: Universal embeddings with multimodal large language models T Jiang, M Song, Z Zhang, H Huang, W Deng, F Sun, Q Zhang, D Wang, ... arXiv preprint arXiv:2407.12580, 2024 | 19 | 2024 |
Improving non-autoregressive generation with mixup training T Jiang, S Huang, Z Zhang, D Wang, F Zhuang, F Wei, H Huang, L Zhang, ... arXiv preprint arXiv:2110.11115, 2021 | 11 | 2021 |
Improving domain adaptation through extended-text reading comprehension T Jiang, S Huang, S Luo, Z Zhang, H Huang, F Wei, W Deng, F Sun, ... arXiv preprint arXiv:2401.07284, 2024 | 8 | 2024 |
Pruning pre-trained language models without fine-tuning T Jiang, D Wang, F Zhuang, R Xie, F Xia arXiv preprint arXiv:2210.06210, 2022 | 5 | 2022 |