Towards making the most of chatgpt for machine translation K Peng, L Ding, Q Zhong, L Shen, X Liu, M Zhang, Y Ouyang, D Tao arXiv preprint arXiv:2303.13780, 2023 | 140 | 2023 |
Vega-MT: The JD explore academy machine translation system for WMT22 C Zan, K Peng, L Ding, B Qiu, B Liu, S He, Q Lu, Z Zhang, C Liu, W Liu, ... Proceedings of the Seventh Conference on Machine Translation (WMT), 411-422, 2022 | 46* | 2022 |
Named entity aware transfer learning for biomedical factoid question answering K Peng, C Yin, W Rong, C Lin, D Zhou, Z Xiong IEEE/ACM Transactions on Computational Biology and Bioinformatics 19 (4 …, 2021 | 27 | 2021 |
Token-level self-evolution training for sequence-to-sequence learning K Peng, L Ding, Q Zhong, Y Ouyang, W Rong, Z Xiong, D Tao Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 18 | 2023 |
Improving neural machine translation by denoising training L Ding, K Peng, D Tao arXiv preprint arXiv:2201.07365, 2022 | 13 | 2022 |
Take Care of Your Prompt Bias! Investigating and Mitigating Prompt Bias in Factual Knowledge Extraction Z Xu, K Peng, L Ding, D Tao, X Lu arXiv preprint arXiv:2403.09963, 2024 | 9 | 2024 |
Bag of tricks for effective language model pretraining and downstream adaptation: A case study on glue Q Zhong, L Ding, K Peng, J Liu, B Du, L Shen, Y Zhan, D Tao arXiv preprint arXiv:2302.09268, 2023 | 9 | 2023 |
Diversifying the mixture-of-experts representation for language models with orthogonal optimizer B Liu, L Ding, L Shen, K Peng, Y Cao, D Cheng, D Tao arXiv preprint arXiv:2310.09762, 2023 | 3 | 2023 |
Revisiting Demonstration Selection Strategies in In-Context Learning K Peng, L Ding, Y Yuan, X Liu, M Zhang, Y Ouyang, D Tao arXiv preprint arXiv:2401.12087, 2024 | 1 | 2024 |
Weight Aware Feature Enriched Biomedical Lexical Answer Type Prediction K Peng, W Rong, C Li, J Hu, Z Xiong Neural Information Processing: 27th International Conference, ICONIP 2020 …, 2020 | 1 | 2020 |