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2020 – today
- 2024
[c8]Keqin Peng, Liang Ding, Yancheng Yuan, Xuebo Liu, Min Zhang, Yuanxin Ouyang, Dacheng Tao:
Revisiting Demonstration Selection Strategies in In-Context Learning. ACL (1) 2024: 9090-9101- [c7]Ziyang Xu, Keqin Peng, Liang Ding, Dacheng Tao, Xiliang Lu:
Take Care of Your Prompt Bias! Investigating and Mitigating Prompt Bias in Factual Knowledge Extraction. LREC/COLING 2024: 15552-15565 - [c6]Boan Liu, Liang Ding, Li Shen, Keqin Peng, Yu Cao, Dazhao Cheng, Dacheng Tao:
Diversifying the Mixture-of-Experts Representation for Language Models with Orthogonal Optimizer. ECAI 2024: 2966-2973 - [c5]Weijie He, Yuanxin Ouyang, Keqin Peng, Wenge Rong, Zhang Xiong:
Disentangled Hierarchical Attention Graph Neural Network for Recommendation. ICIC (LNAI 1) 2024: 415-426 - [i7]Keqin Peng, Liang Ding, Yancheng Yuan, Xuebo Liu, Min Zhang, Yuanxin Ouyang, Dacheng Tao:
Revisiting Demonstration Selection Strategies in In-Context Learning. CoRR abs/2401.12087 (2024) - [i6]Ziyang Xu, Keqin Peng, Liang Ding, Dacheng Tao, Xiliang Lu:
Take Care of Your Prompt Bias! Investigating and Mitigating Prompt Bias in Factual Knowledge Extraction. CoRR abs/2403.09963 (2024) - 2023
- [c4]Keqin Peng, Liang Ding, Qihuang Zhong, Yuanxin Ouyang, Wenge Rong, Zhang Xiong, Dacheng Tao:
Token-Level Self-Evolution Training for Sequence-to-Sequence Learning. ACL (2) 2023: 841-850 - [c3]Keqin Peng, Liang Ding, Qihuang Zhong, Li Shen, Xuebo Liu, Min Zhang, Yuanxin Ouyang, Dacheng Tao:
Towards Making the Most of ChatGPT for Machine Translation. EMNLP (Findings) 2023: 5622-5633 - [i5]Qihuang Zhong, Liang Ding, Keqin Peng, Juhua Liu, Bo Du, Li Shen, Yibing Zhan, Dacheng Tao:
Bag of Tricks for Effective Language Model Pretraining and Downstream Adaptation: A Case Study on GLUE. CoRR abs/2302.09268 (2023) - [i4]Keqin Peng, Liang Ding, Qihuang Zhong, Li Shen, Xuebo Liu, Min Zhang, Yuanxin Ouyang, Dacheng Tao:
Towards Making the Most of ChatGPT for Machine Translation. CoRR abs/2303.13780 (2023) - [i3]Boan Liu, Liang Ding, Li Shen, Keqin Peng, Yu Cao, Dazhao Cheng, Dacheng Tao:
Diversifying the Mixture-of-Experts Representation for Language Models with Orthogonal Optimizer. CoRR abs/2310.09762 (2023) - 2022
- [j1]Keqin Peng
, Chuantao Yin, Wenge Rong, Chenghua Lin, Deyu Zhou, Zhang Xiong:
Named Entity Aware Transfer Learning for Biomedical Factoid Question Answering. IEEE ACM Trans. Comput. Biol. Bioinform. 19(4): 2365-2376 (2022) - [c2]Changtong Zan, Keqin Peng, Liang Ding, Baopu Qiu, Boan Liu, Shwai He, Qingyu Lu, Zheng Zhang, Chuang Liu, Weifeng Liu, Yibing Zhan, Dacheng Tao:
Vega-MT: The JD Explore Academy Machine Translation System for WMT22. WMT 2022: 411-422 - [i2]Liang Ding, Keqin Peng, Dacheng Tao:
Improving Neural Machine Translation by Denoising Training. CoRR abs/2201.07365 (2022) - [i1]Changtong Zan, Keqin Peng, Liang Ding, Baopu Qiu, Boan Liu, Shwai He, Qingyu Lu, Zheng Zhang, Chuang Liu, Weifeng Liu, Yibing Zhan, Dacheng Tao:
Vega-MT: The JD Explore Academy Translation System for WMT22. CoRR abs/2209.09444 (2022) - 2020
- [c1]Keqin Peng, Wenge Rong, Chen Li, Jiahao Hu, Zhang Xiong:
Weight Aware Feature Enriched Biomedical Lexical Answer Type Prediction. ICONIP (3) 2020: 63-75
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