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ORCIDQiaozhi He
- > Home > Persons > Qiaozhi He
Publications
- 2026
[j3]Yongyu Mu, Yuzhang Wu, Yuchun Fan, Chenglong Wang, Hengyu Li, Jiali Zeng, Qiaozhi He, Murun Yang, Fandong Meng, Jie Zhou, Tong Xiao, Jingbo Zhu:
Cross-layer Attention Sharing for Pre-trained Large Language Models. Trans. Assoc. Comput. Linguistics 14: 656-688 (2026)- [c5]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:
Probing Preference Representations: A Multi-Dimensional Evaluation and Analysis Method for Reward Models. AAAI 2026: 33404-33412 - [i19]Chenglong Wang, Canjia Li, Xingzhao Zhu, Yifu Huo, Huiyu Wang, Weixiong Lin, Yun Yang, Qiaozhi He, Tianhua Zhou, Xiaojia Chang, Jingbo Zhu, Tong Xiao:
SERM: Self-Evolving Relevance Model with Agent-Driven Learning from Massive Query Streams. CoRR abs/2601.09515 (2026) - [i18]Kaiyan Chang, Chenwei Zhu, Yingfeng Luo, Yifu Huo, Chenglong Wang, Xiaoqian Liu, Qiaozhi He, Tong Xiao, Zhengtao Yu, Jingbo Zhu:
APR: Penalizing Structural Redundancy in Large Reasoning Models via Anchor-based Process Rewards. CoRR abs/2602.00760 (2026) - [i17]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:
When Scaling Fails: Mitigating Audio Perception Decay of LALMs via Multi-Step Perception-Aware Reasoning. CoRR abs/2603.02266 (2026) - [i16]Yilin Wang, Yuchun Fan, Jiaoyang Li, Ziming Zhu, Yongyu Mu, Qiaozhi He, Tong Xiao, Jingbo Zhu:
DaPT: A Dual-Path Framework for Multilingual Multi-hop Question Answering. CoRR abs/2603.19097 (2026) - [i15]Chenglong Wang, Yifu Huo, Yang Gan, Qiaozhi He, Qi Meng, Bei Li, Yan Wang, Junfu Liu, Tianhua Zhou, Jingbo Zhu, Tong Xiao:
MSRL: Scaling Generative Multimodal Reward Modeling via Multi-Stage Reinforcement Learning. CoRR abs/2603.25108 (2026) - [i14]Yifu Huo, Chenglong Wang, Ziming Zhu, Shunjie Xing, Peinan Feng, Tongran Liu, Qiaozhi He, Tianhua Zhou, Xiaojia Chang, Jingbo Zhu, Zhengtao Yu, Tong Xiao:
SPS: Steering Probability Squeezing for Better Exploration in Reinforcement Learning for Large Language Models. CoRR abs/2604.16995 (2026) - 2025
- [c4]Chenglong Wang, Yang Gan, Yifu Huo, Yongyu Mu, Murun Yang, Qiaozhi He, Tong Xiao, Chunliang Zhang, Tongran Liu, Jingbo Zhu:
RoVRM: A Robust Visual Reward Model Optimized via Auxiliary Textual Preference Data. AAAI 2025: 25336-25344 - [c2]Yongyu Mu, Hengyu Li, Junxin Wang, Xiaoxuan Zhou, Chenglong Wang, Yingfeng Luo, Qiaozhi He, Tong Xiao, Guocheng Chen, Jingbo Zhu:
Boosting Text-To-Image Generation via Multilingual Prompting in Large Multimodal Models. ICASSP 2025: 1-5 - [c1]Chenglong Wang, Yang Gan, Yifu Huo, Yongyu Mu, Qiaozhi He, Murun Yang, Bei Li, Tong Xiao, Chunliang Zhang, Tongran Liu, JingBo Zhu:
GRAM: A Generative Foundation Reward Model for Reward Generalization. ICML 2025 - [i12]Yongyu Mu, Hengyu Li, Junxin Wang, Xiaoxuan Zhou, Chenglong Wang, Yingfeng Luo, Qiaozhi He, Tong Xiao, Guocheng Chen, Jingbo Zhu:
Boosting Text-To-Image Generation via Multilingual Prompting in Large Multimodal Models. CoRR abs/2501.07086 (2025) - [i10]Chenglong Wang, Yang Gan, Yifu Huo, Yongyu Mu, Qiaozhi He, Murun Yang, Bei Li, Tong Xiao, Chunliang Zhang, Tongran Liu, Jingbo Zhu:
GRAM: A Generative Foundation Reward Model for Reward Generalization. CoRR abs/2506.14175 (2025) - [i9]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:
Probing Preference Representations: A Multi-Dimensional Evaluation and Analysis Method for Reward Models. CoRR abs/2511.12464 (2025) - 2024
- [i5]Yongyu Mu, Yuzhang Wu, Yuchun Fan, Chenglong Wang, Hengyu Li, Qiaozhi He, Murun Yang, Tong Xiao, Jingbo Zhu:
Cross-layer Attention Sharing for Large Language Models. CoRR abs/2408.01890 (2024) - [i4]Chenglong Wang, Yang Gan, Yifu Huo, Yongyu Mu, Murun Yang, Qiaozhi He, Tong Xiao, Chunliang Zhang, Tongran Liu, Quan Du, Di Yang, Jingbo Zhu:
RoVRM: A Robust Visual Reward Model Optimized via Auxiliary Textual Preference Data. CoRR abs/2408.12109 (2024) - [i2]Chenglong Wang, Yang Gan, Yifu Huo, Yongyu Mu, Qiaozhi He, Murun Yang, Tong Xiao, Chunliang Zhang, Tongran Liu, Jingbo Zhu:
LRHP: Learning Representations for Human Preferences via Preference Pairs. CoRR abs/2410.04503 (2024) - 2023
- [j2]Yinqiao Li
, Runzhe Cao, Qiaozhi He, Tong Xiao, Jingbo Zhu:
Learning Reliable Neural Networks with Distributed Architecture Representations. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(4): 109:1-109:20 (2023)
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