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Keqin Peng
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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
1232023
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
45*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
272021
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
182023
Improving neural machine translation by denoising training
L Ding, K Peng, D Tao
arXiv preprint arXiv:2201.07365, 2022
142022
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
82023
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
62024
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
32023
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
12024
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
12020
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