Peinan Feng

According to our database, Peinan Feng authored at least 7 papers between 2024 and 2026.

Collaborative distances:

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

2026

SPS: Steering Probability Squeezing for Better Exploration in Reinforcement Learning for Large Language Models.

Yifu Huo, Chenglong Wang, Ziming Zhu, Shunjie Xing, Peinan Feng, Tongran Liu, Qiaozhi He, Tianhua Zhou, Xiaojia Chang, Jingbo Zhu, Zhengtao Yu, Tong Xiao

CoRR, April, 2026

NiuTrans.LMT: Toward Inclusive and Scalable Multilingual Machine Translation with LLMs.

Yingfeng Luo, Ziqiang Xu, Yuxuan Ouyang, Murun Yang, Dingyang Lin, Kaiyan Chang, Tong Zheng, Bei Li, Peinan Feng, Quan Du, Tong Xiao, Jingbo Zhu

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

Beyond English: Toward Inclusive and Scalable Multilingual Machine Translation with LLMs.

Yingfeng Luo, Ziqiang Xu, Yuxuan Ouyang, Murun Yang, Dingyang Lin, Kaiyan Chang, Tong Zheng, Bei Li, Peinan Feng, Quan Du, Tong Xiao, Jingbo Zhu

CoRR, November, 2025

Gene Swin transformer: new deep learning method for colorectal cancer prognosis using transcriptomic data.

Yangyang Wang, Xinyu Yue, Shenghan Lou, Peinan Feng, Binbin Cui, Yanlong Liu

Briefings Bioinform., May, 2025

Beyond Decoder-only: Large Language Models Can be Good Encoders for Machine Translation.

Yingfeng Luo, Tong Zheng, Yongyu Mu, Bei Li, Qinghong Zhang, Yongqi Gao, Ziqiang Xu, Peinan Feng, Xiaoqian Liu, Tong Xiao, JingBo Zhu

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Large Language Models are Parallel Multilingual Learners.

Yongyu Mu, Peinan Feng, Zhiquan Cao, Yuzhang Wu, Bei Li, Chenglong Wang, Tong Xiao, Kai Song, Tongran Liu, Chunliang Zhang, Jingbo Zhu

CoRR, 2024

Revealing the Parallel Multilingual Learning within Large Language Models.

Yongyu Mu, Peinan Feng, Zhiquan Cao, Yuzhang Wu, Bei Li, Chenglong Wang, Tong Xiao, Kai Song, Tongran Liu, Chunliang Zhang, JingBo Zhu

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024