Chenglong Wang

According to our database, Chenglong Wang authored at least 22 papers between 2020 and 2025.

Collaborative distances:

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

2025

Step-level Verifier-guided Hybrid Test-Time Scaling for Large Language Models.

Kaiyan Chang, Yonghao Shi, Chenglong Wang, Hang Zhou, Chi Hu, Xiaoqian Liu, Yingfeng Luo, Yuan Ge, Tong Xiao, Jingbo Zhu

CoRR, July, 2025

GRAM: A Generative Foundation Reward Model for Reward Generalization.

Chenglong Wang, Yang Gan, Yifu Huo, Yongyu Mu, Qiaozhi He, Murun Yang, Bei Li, Tong Xiao, Chunliang Zhang, Tongran Liu, Jingbo Zhu

CoRR, June, 2025

Boosting Text-To-Image Generation via Multilingual Prompting in Large Multimodal Models.

Yongyu Mu, Hengyu Li, Junxin Wang, Xiaoxuan Zhou, Chenglong Wang, Yingfeng Luo, Qiaozhi He, Tong Xiao, Guocheng Chen, Jingbo Zhu

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

RoVRM: A Robust Visual Reward Model Optimized via Auxiliary Textual Preference Data.

Chenglong Wang, Yang Gan, Yifu Huo, Yongyu Mu, Murun Yang, Qiaozhi He, Tong Xiao, Chunliang Zhang, Tongran Liu, Jingbo Zhu

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

LRHP: Learning Representations for Human Preferences via Preference Pairs.

Chenglong Wang, Yang Gan, Yifu Huo, Yongyu Mu, Qiaozhi He, Murun Yang, Tong Xiao, Chunliang Zhang, Tongran Liu, Jingbo Zhu

CoRR, 2024

NDP: Next Distribution Prediction as a More Broad Target.

Junhao Ruan, Abudukeyumu Abudula, Xinyu Liu, Bei Li, Yinqiao Li, Chenglong Wang, Yuchun Fan, Yuan Ge, Tong Xiao, Jingbo Zhu

CoRR, 2024

RoVRM: A Robust Visual Reward Model Optimized via Auxiliary Textual Preference Data.

Chenglong Wang, Yang Gan, Yifu Huo, Yongyu Mu, Murun Yang, Qiaozhi He, Tong Xiao, Chunliang Zhang, Tongran Liu, Quan Du, Di Yang, Jingbo Zhu

CoRR, 2024

Cross-layer Attention Sharing for Large Language Models.

Yongyu Mu, Yuzhang Wu, Yuchun Fan, Chenglong Wang, Hengyu Li, Qiaozhi He, Murun Yang, Tong Xiao, Jingbo Zhu

CoRR, 2024

Efficient Prompting Methods for Large Language Models: A Survey.

Kaiyan Chang, Songcheng Xu, Chenglong Wang, Yingfeng Luo, Tong Xiao, Jingbo Zhu

CoRR, 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

Prior Constraints-Based Reward Model Training for Aligning Large Language Models.

Hang Zhou, Chenglong Wang, Yimin Hu, Tong Xiao, Chunliang Zhang, Jingbo Zhu

Proceedings of the Chinese Computational Linguistics - 23rd China National Conference, 2024

Hybrid Alignment Training for Large Language Models.

Chenglong Wang, Hang Zhou, Kaiyan Chang, Bei Li, Yongyu Mu, Tong Xiao, Tongran Liu, JingBo Zhu

Proceedings of the Findings of the Association for Computational Linguistics, 2024

ESRL: Efficient Sampling-Based Reinforcement Learning for Sequence Generation.

Chenglong Wang, Hang Zhou, Yimin Hu, Yifu Huo, Bei Li, Tongran Liu, Tong Xiao, Jingbo Zhu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Learning Evaluation Models from Large Language Models for Sequence Generation.

Chenglong Wang, Hang Zhou, Kaiyan Chang, Tongran Liu, Chunliang Zhang, Quan Du, Tong Xiao, Jingbo Zhu

CoRR, 2023

2022

Improved Knowledge Distillation for Pre-trained Language Models via Knowledge Selection.

Chenglong Wang, Yi Lu, Yongyu Mu, Yimin Hu, Tong Xiao, Jingbo Zhu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

The NiuTrans System for the WMT21 Efficiency Task.

Chenglong Wang, Chi Hu, Yongyu Mu, Zhongxiang Yan, Siming Wu, Minyi Hu, Hang Cao, Bei Li, Ye Lin, Tong Xiao, Jingbo Zhu

CoRR, 2021

The NiuTrans Machine Translation Systems for WMT21.

Shuhan Zhou, Tao Zhou, Binghao Wei, Yingfeng Luo, Yongyu Mu, Zefan Zhou, Chenglong Wang, Xuanjun Zhou, Chuanhao Lv, Yi Jing, Laohu Wang, Jingnan Zhang, Canan Huang, Zhongxiang Yan, Chi Hu, Bei Li, Tong Xiao, Jingbo Zhu

Proceedings of the Sixth Conference on Machine Translation, 2021

The NiuTrans System for the WMT 2021 Efficiency Task.

Chenglong Wang, Chi Hu, Yongyu Mu, Zhongxiang Yan, Siming Wu, Yimin Hu, Hang Cao, Bei Li, Ye Lin, Tong Xiao, Jingbo Zhu

Proceedings of the Sixth Conference on Machine Translation, 2021

RankNAS: Efficient Neural Architecture Search by Pairwise Ranking.

Chi Hu, Chenglong Wang, Xiangnan Ma, Xia Meng, Yinqiao Li, Tong Xiao, Jingbo Zhu, Changliang Li

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

The NiuTrans System for the WMT20 Quality Estimation Shared Task.

Chi Hu, Hui Liu, Kai Feng, Chen Xu, Nuo Xu, Zefan Zhou, Shiqin Yan, Yingfeng Luo, Chenglong Wang, Xia Meng, Tong Xiao, Jingbo Zhu

Proceedings of the Fifth Conference on Machine Translation, 2020

The NiuTrans System for WNGT 2020 Efficiency Task.

Chi Hu, Bei Li, Yinqiao Li, Ye Lin, Yanyang Li, Chenglong Wang, Tong Xiao, Jingbo Zhu

Proceedings of the Fourth Workshop on Neural Generation and Translation, 2020