Chenglong Wang

According to our database, Chenglong Wang authored at least 36 papers between 2020 and 2026.

Collaborative distances:

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

2026

RouteLMT: Learned Sample Routing for Hybrid LLM Translation Deployment.

Yingfeng Luo, Hongyu Liu, Dingyang Lin, Kaiyan Chang, Chenglong Wang, Bei Li, Quan Du, Tong Xiao, Jingbo Zhu

CoRR, April, 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

When Scaling Fails: Mitigating Audio Perception Decay of LALMs via Multi-Step Perception-Aware Reasoning.

Ruixiang Mao, Xiangnan Ma, Dan Chen, Ziming Zhu, Yuan Ge, Aokai Hao, Haishu Zhao, Yifu Huo, Qing Yang, Kaiyan Chang, Xiaoqian Liu, Chenglong Wang, Qiaozhi He, Tong Xiao, Jingbo Zhu

CoRR, March, 2026

APR: Penalizing Structural Redundancy in Large Reasoning Models via Anchor-based Process Rewards.

Kaiyan Chang, Chenwei Zhu, Yingfeng Luo, Yifu Huo, Chenglong Wang, Xiaoqian Liu, Qiaozhi He, Tong Xiao, Zhengtao Yu, Jingbo Zhu

CoRR, February, 2026

SERM: Self-Evolving Relevance Model with Agent-Driven Learning from Massive Query Streams.

Chenglong Wang, Canjia Li, Xingzhao Zhu, Yifu Huo, Huiyu Wang, Weixiong Lin, Yun Yang, Qiaozhi He, Tianhua Zhou, Xiaojia Chang, Jingbo Zhu, Tong Xiao

CoRR, January, 2026

Cross-layer Attention Sharing for Pre-trained Large Language Models.

Yongyu Mu, Yuzhang Wu, Yuchun Fan, Chenglong Wang, Hengyu Li, Jiali Zeng, Qiaozhi He, Murun Yang, Fandong Meng, Jie Zhou, Tong Xiao, Jingbo Zhu

Trans. Assoc. Comput. Linguistics, 2026

GRAM-R²: Self-Training Generative Foundation Reward Models for Reward Reasoning.

Chenglong Wang, Yongyu Mu, Hang Zhou, Yifu Huo, Ziming Zhu, Jiali Zeng, Murun Yang, Bei Li, Xiaoyang Hao, Chunliang Zhang, Fandong Meng, Jingbo Zhu, Tong Xiao

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Probing Preference Representations: A Multi-Dimensional Evaluation and Analysis Method for Reward Models.

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

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

SageLM: A Multi-aspect and Explainable Large Language Model for Speech Judgement.

Yuan Ge, Junxiang Zhang, Xiaoqian Liu, Bei Li, Xiangnan Ma, Chenglong Wang, Kaiyang Ye, Yangfan Du, Linfeng Zhang, Yuxin Huang, Tong Xiao, Zhengtao Yu, Jingbo Zhu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

MRO: Enhancing Reasoning in Diffusion Language Models via Multi-Reward Optimization.

Chenglong Wang, Yang Gan, Hang Zhou, Chi Hu, Yongyu Mu, Kai Song, Murun Yang, Bei Li, Chunliang Zhang, Tongran Liu, Jingbo Zhu, Zhengtao Yu, Tong Xiao

CoRR, October, 2025

GRAM-R²: Self-Training Generative Foundation Reward Models for Reward Reasoning.

Chenglong Wang, Yongyu Mu, Hang Zhou, Yifu Huo, Ziming Zhu, Jiali Zeng, Murun Yang, Bei Li, Tong Xiao, Xiaoyang Hao, Chunliang Zhang, Fandong Meng, Jingbo Zhu

CoRR, September, 2025

HEAL: A Hypothesis-Based Preference-Aware Analysis Framework.

Yifu Huo, Chenglong Wang, Qiren Zhu, Shunjie Xing, Tong Xiao, Chunliang Zhang, Tongran Liu, Jinbo Zhu

CoRR, August, 2025

LaTeXTrans: Structured LaTeX Translation with Multi-Agent Coordination.

Ziming Zhu, Chenglong Wang, Shunjie Xing, Yifu Huo, Fengning Tian, Quan Du, Di Yang, Chunliang Zhang, Tong Xiao, Jingbo Zhu

CoRR, August, 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

Proceedings of the Forty-second International Conference on Machine Learning, 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

HEAL: A Hypothesis-Based Preference-Aware Analysis Framework.

Yifu Huo, Chenglong Wang, Qiren Zhu, Shunjie Xing, Tong Xiao, Chunliang Zhang, Tongran Liu, JingBo Zhu

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

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 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 Thirty-Ninth AAAI Conference on Artificial Intelligence, 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