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Chenglong Wang
15 papers at tracked venues · 12 at CORE A* · active 2024–2026
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Venues
AAAI
×5
ACL
×5
EMNLP
×3
ICML
×1
NeurIPS
×1
Frequent coauthors
JingBo Zhu
×15
Tong Xiao
×15
Bei Li
×10
Tongran Liu
×9
Yifu Huo
×8
Yongyu Mu
×7
Chunliang Zhang
×7
Hang Zhou
×5
Murun Yang
×5
Zhengtao Yu
×5
Qiaozhi He
×5
Yang Gan
×4
Papers
GRAM-R²: Self-Training Generative Foundation Reward Models for Reward Reasoning
BibTeX ⧉
AAAI 2026
·
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
On the Emotion Understanding of Synthesized Speech
BibTeX ⧉
ACL 2026
·
Yuan Ge
,
Haishu Zhao
,
Aokai Hao
,
Junxiang Zhang
,
Bei Li
,
Xiaoqian Liu
,
Chenglong Wang
,
Jianjin Wang
,
Bingsen Zhou
,
Bingyu Liu
,
JingBo Zhu
,
Zhengtao Yu
,
Tong Xiao
Probing Preference Representations: A Multi-Dimensional Evaluation and Analysis Method for Reward Models
BibTeX ⧉
AAAI 2026
·
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
RouteLMT: Learned Sample Routing for Hybrid LLM Translation Deployment
BibTeX ⧉
ACL 2026
·
Yingfeng Luo
,
Hongyu Liu
,
Dingyang Lin
,
Kaiyan Chang
,
Chenglong Wang
,
Bei Li
,
Quan Du
,
Tong Xiao
,
JingBo Zhu
SERM: Self-Evolving Relevance Model with Agent-Driven Learning from Massive Query Streams
BibTeX ⧉
ACL 2026
·
Chenglong Wang
,
Canjia Li
,
Xingzhao Zhu
,
Yifu Huo
,
Huiyu Wang
,
Weixiong Lin
,
Yun Yang
,
Qiaozhi He
,
Tianhua Zhou
,
Changxiaojia
,
JingBo Zhu
,
Tong Xiao
SPS: Steering Probability Squeezing for Better Exploration in Reinforcement Learning for Large Language Models
BibTeX ⧉
ACL 2026
·
Yifu Huo
,
Chenglong Wang
,
Ziming Zhu
,
Shunjie Xing
,
Peinan Feng
,
Tongran Liu
,
Qiaozhi He
,
Tianhua Zhou
,
Changxiaojia
,
JingBo Zhu
,
Zhengtao Yu
,
Tong Xiao
SageLM: A Multi-aspect and Explainable Large Language Model for Speech Judgement
BibTeX ⧉
AAAI 2026
·
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
GRAM: A Generative Foundation Reward Model for Reward Generalization
BibTeX ⧉
ICML 2025
·
Chenglong Wang
,
Yang Gan
,
Yifu Huo
,
Yongyu Mu
,
Qiaozhi He
,
Murun Yang
,
Bei Li
,
Tong Xiao
,
Chunliang Zhang
,
Tongran Liu
,
JingBo Zhu
HEAL: A Hypothesis-Based Preference-Aware Analysis Framework
BibTeX ⧉
EMNLP 2025
·
Yifu Huo
,
Chenglong Wang
,
Qiren Zhu
,
Shunjie Xing
,
Tong Xiao
,
Chunliang Zhang
,
Tongran Liu
,
JingBo Zhu
MRO: Enhancing Reasoning in Diffusion Language Models via Multi-Reward Optimization
BibTeX ⧉
NeurIPS 2025
·
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
RoVRM: A Robust Visual Reward Model Optimized via Auxiliary Textual Preference Data
BibTeX ⧉
AAAI 2025
·
Chenglong Wang
,
Yang Gan
,
Yifu Huo
,
Yongyu Mu
,
Murun Yang
,
Qiaozhi He
,
Tong Xiao
,
Chunliang Zhang
,
Tongran Liu
,
Jingbo Zhu
Step-level Verifier-guided Hybrid Test-Time Scaling for Large Language Models
BibTeX ⧉
EMNLP 2025
·
Kaiyan Chang
,
Yonghao Shi
,
Chenglong Wang
,
Hang Zhou
,
Chi Hu
,
Xiaoqian Liu
,
Yingfeng Luo
,
Yuan Ge
,
Tong Xiao
,
JingBo Zhu
ESRL: Efficient Sampling-Based Reinforcement Learning for Sequence Generation
BibTeX ⧉
AAAI 2024
·
Chenglong Wang
,
Hang Zhou
,
Yimin Hu
,
Yifu Huo
,
Bei Li
,
Tongran Liu
,
Tong Xiao
,
Jingbo Zhu
Hybrid Alignment Training for Large Language Models
BibTeX ⧉
ACL 2024
·
Chenglong Wang
,
Hang Zhou
,
Kaiyan Chang
,
Bei Li
,
Yongyu Mu
,
Tong Xiao
,
Tongran Liu
,
JingBo Zhu
Revealing the Parallel Multilingual Learning within Large Language Models
BibTeX ⧉
EMNLP 2024
·
Yongyu Mu
,
Peinan Feng
,
Zhiquan Cao
,
Yuzhang Wu
,
Bei Li
,
Chenglong Wang
,
Tong Xiao
,
Kai Song
,
Tongran Liu
,
Chunliang Zhang
,
JingBo Zhu