Keqin Peng - RankMe

21 papers A 1Journal 12Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Think Dense, Not Long: Dynamic Decoupled Conditional Advantage for Efficient Reasoning. CoRR Keqin Peng, Yuanxin Ouyang, Xuebo Liu, Zhiliang Tian, Ruijian Han, Yancheng Yuan, Liang Ding
2025	J	`jnl`	Document-Level Relation Extraction With Low Entity Redundancy Feature Map. IEEE Trans. Knowl. Data Eng. Rongen Yan, Depeng Dang, Keqin Peng, Yakun Li, Ye Tao, Lei Hou, Juanzi Li, Jie Tang
2025	—	`conf`	Enhancing Input-Label Mapping in In-Context Learning with Contrastive Decoding. ACL (2) Keqin Peng, Liang Ding, Yuanxin Ouyang, Meng Fang, Yancheng Yuan, Dacheng Tao
2025	J	`jnl`	Enhancing Input-Label Mapping in In-Context Learning with Contrastive Decoding. CoRR Keqin Peng, Liang Ding, Yuanxin Ouyang, Meng Fang, Yancheng Yuan, Dacheng Tao
2025	J	`jnl`	Revisiting Overthinking in Long Chain-of-Thought from the Perspective of Self-Doubt. CoRR Keqin Peng, Liang Ding, Yuanxin Ouyang, Meng Fang, Dacheng Tao
2024	—	`conf`	Disentangled Hierarchical Attention Graph Neural Network for Recommendation. ICIC (LNAI 1) Weijie He, Yuanxin Ouyang, Keqin Peng, Wenge Rong, Zhang Xiong
2024	A	`conf`	Diversifying the Mixture-of-Experts Representation for Language Models with Orthogonal Optimizer. ECAI Boan Liu, Liang Ding, Li Shen, Keqin Peng, Yu Cao, Dazhao Cheng, Dacheng Tao
2024	—	`conf`	Revisiting Demonstration Selection Strategies in In-Context Learning. ACL (1) Keqin Peng, Liang Ding, Yancheng Yuan, Xuebo Liu, Min Zhang, Yuanxin Ouyang, Dacheng Tao
2024	J	`jnl`	Revisiting Demonstration Selection Strategies in In-Context Learning. CoRR Keqin Peng, Liang Ding, Yancheng Yuan, Xuebo Liu, Min Zhang, Yuanxin Ouyang, Dacheng Tao
2024	—	`conf`	Take Care of Your Prompt Bias! Investigating and Mitigating Prompt Bias in Factual Knowledge Extraction. LREC/COLING Ziyang Xu, Keqin Peng, Liang Ding, Dacheng Tao, Xiliang Lu
2024	J	`jnl`	Take Care of Your Prompt Bias! Investigating and Mitigating Prompt Bias in Factual Knowledge Extraction. CoRR Ziyang Xu, Keqin Peng, Liang Ding, Dacheng Tao, Xiliang Lu
2023	J	`jnl`	Bag of Tricks for Effective Language Model Pretraining and Downstream Adaptation: A Case Study on GLUE. CoRR Qihuang Zhong, Liang Ding, Keqin Peng, Juhua Liu, Bo Du, Li Shen, Yibing Zhan, Dacheng Tao
2023	J	`jnl`	Diversifying the Mixture-of-Experts Representation for Language Models with Orthogonal Optimizer. CoRR Boan Liu, Liang Ding, Li Shen, Keqin Peng, Yu Cao, Dazhao Cheng, Dacheng Tao
2023	—	`conf`	Token-Level Self-Evolution Training for Sequence-to-Sequence Learning. ACL (2) Keqin Peng, Liang Ding, Qihuang Zhong, Yuanxin Ouyang, Wenge Rong, Zhang Xiong, Dacheng Tao
2023	—	`conf`	Towards Making the Most of ChatGPT for Machine Translation. EMNLP (Findings) Keqin Peng, Liang Ding, Qihuang Zhong, Li Shen, Xuebo Liu, Min Zhang, Yuanxin Ouyang, Dacheng Tao
2023	J	`jnl`	Towards Making the Most of ChatGPT for Machine Translation. CoRR Keqin Peng, Liang Ding, Qihuang Zhong, Li Shen, Xuebo Liu, Min Zhang, Yuanxin Ouyang, Dacheng Tao
2022	J	`jnl`	Improving Neural Machine Translation by Denoising Training. CoRR Liang Ding, Keqin Peng, Dacheng Tao
2022	J	`jnl`	Named Entity Aware Transfer Learning for Biomedical Factoid Question Answering. IEEE ACM Trans. Comput. Biol. Bioinform. Keqin Peng, Chuantao Yin, Wenge Rong, Chenghua Lin, Deyu Zhou, Zhang Xiong
2022	—	`conf`	Vega-MT: The JD Explore Academy Machine Translation System for WMT22. WMT Changtong Zan, Keqin Peng, Liang Ding, Baopu Qiu, Boan Liu, Shwai He, Qingyu Lu, Zheng Zhang, Chuang Liu, Weifeng Liu, Yibing Zhan, Dacheng Tao
2022	J	`jnl`	Vega-MT: The JD Explore Academy Translation System for WMT22. CoRR Changtong Zan, Keqin Peng, Liang Ding, Baopu Qiu, Boan Liu, Shwai He, Qingyu Lu, Zheng Zhang, Chuang Liu, Weifeng Liu, Yibing Zhan, Dacheng Tao
2020	—	`conf`	Weight Aware Feature Enriched Biomedical Lexical Answer Type Prediction. ICONIP (3) Keqin Peng, Wenge Rong, Chen Li, Jiahao Hu, Zhang Xiong