Keqin Peng

According to our database, Keqin Peng authored at least 12 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Disentangled Hierarchical Attention Graph Neural Network for Recommendation.

Weijie He, Yuanxin Ouyang, Keqin Peng, Wenge Rong, Zhang Xiong

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

Diversifying the Mixture-of-Experts Representation for Language Models with Orthogonal Optimizer.

Boan Liu, Liang Ding, Li Shen, Keqin Peng, Yu Cao, Dazhao Cheng, Dacheng Tao

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Take Care of Your Prompt Bias! Investigating and Mitigating Prompt Bias in Factual Knowledge Extraction.

Ziyang Xu, Keqin Peng, Liang Ding, Dacheng Tao, Xiliang Lu

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Revisiting Demonstration Selection Strategies in In-Context Learning.

Keqin Peng, Liang Ding, Yancheng Yuan, Xuebo Liu, Min Zhang, Yuanxin Ouyang, Dacheng Tao

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Bag of Tricks for Effective Language Model Pretraining and Downstream Adaptation: A Case Study on GLUE.

Qihuang Zhong, Liang Ding, Keqin Peng, Juhua Liu, Bo Du, Li Shen, Yibing Zhan, Dacheng Tao

CoRR, 2023

Towards Making the Most of ChatGPT for Machine Translation.

Keqin Peng, Liang Ding, Qihuang Zhong, Li Shen, Xuebo Liu, Min Zhang, Yuanxin Ouyang, Dacheng Tao

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Token-Level Self-Evolution Training for Sequence-to-Sequence Learning.

Keqin Peng, Liang Ding, Qihuang Zhong, Yuanxin Ouyang, Wenge Rong, Zhang Xiong, Dacheng Tao

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

2022

Named Entity Aware Transfer Learning for Biomedical Factoid Question Answering.

Keqin Peng, Chuantao Yin, Wenge Rong, Chenghua Lin, Deyu Zhou, Zhang Xiong

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Vega-MT: The JD Explore Academy Translation System for WMT22.

Changtong Zan, Keqin Peng, Liang Ding, Baopu Qiu, Boan Liu, Shwai He, Qingyu Lu, Zheng Zhang, Chuang Liu, Weifeng Liu, Yibing Zhan, Dacheng Tao

CoRR, 2022

Improving Neural Machine Translation by Denoising Training.

Liang Ding, Keqin Peng, Dacheng Tao

CoRR, 2022

Vega-MT: The JD Explore Academy Machine Translation System for WMT22.

Changtong Zan, Keqin Peng, Liang Ding, Baopu Qiu, Boan Liu, Shwai He, Qingyu Lu, Zheng Zhang, Chuang Liu, Weifeng Liu, Yibing Zhan, Dacheng Tao

Proceedings of the Seventh Conference on Machine Translation, 2022

2020

Weight Aware Feature Enriched Biomedical Lexical Answer Type Prediction.

Keqin Peng, Wenge Rong, Chen Li, Jiahao Hu, Zhang Xiong

Proceedings of the Neural Information Processing - 27th International Conference, 2020