Qiaozhi He

According to our database, Qiaozhi He authored at least 23 papers between 2018 and 2026.

Collaborative distances:

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

2026

DrawMotion: Generating 3D Human Motions by Freehand Drawing.

Tao Wang, Lei Jin, Zhihua Wu, Qiaozhi He, Jiaming Chu, Yu Cheng, Junliang Xing, Jian Zhao, Shuicheng Yan, Li Wang

CoRR, May, 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

MSRL: Scaling Generative Multimodal Reward Modeling via Multi-Stage Reinforcement Learning.

Chenglong Wang, Yifu Huo, Yang Gan, Qiaozhi He, Qi Meng, Bei Li, Yan Wang, Junfu Liu, Tianhua Zhou, Jingbo Zhu, Tong Xiao

CoRR, March, 2026

DaPT: A Dual-Path Framework for Multilingual Multi-hop Question Answering.

Yilin Wang, Yuchun Fan, Jiaoyang Li, Ziming Zhu, Yongyu Mu, Qiaozhi He, Tong Xiao, Jingbo Zhu

CoRR, March, 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

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

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

StickMotion: Generating 3D Human Motions by Drawing a Stickman.

Tao Wang, Zhihua Wu, Qiaozhi He, Jiaming Chu, Ling Qian, Yu Cheng, Junliang Xing, Jian Zhao, Lei Jin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Exploring Scaling Laws for Local SGD in Large Language Model Training.

Qiaozhi He, Xiaomin Zhuang, Zhihua Wu

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

ChuXin: 1.6B Technical Report.

Xiaomin Zhuang, Yufan Jiang, Qiaozhi He, Zhihua Wu

CoRR, 2024

Efficient LLM Inference with Kcache.

Qiaozhi He, Zhihua Wu

CoRR, 2024

Code Comparison Tuning for Code Large Language Models.

Yufan Jiang, Qiaozhi He, Xiaomin Zhuang, Zhihua Wu

CoRR, 2024

2023

Learning Reliable Neural Networks with Distributed Architecture Representations.

Yinqiao Li, Runzhe Cao, Qiaozhi He, Tong Xiao, Jingbo Zhu

ACM Trans. Asian Low Resour. Lang. Inf. Process., April, 2023

RecycleGPT: An Autoregressive Language Model with Recyclable Module.

Yufan Jiang, Qiaozhi He, Xiaomin Zhuang, Zhihua Wu, Kunpeng Wang, Wenlai Zhao, Guangwen Yang

CoRR, 2023

2018

Research on the Temperature Characteristics of the Photoacoustic Sensor of Glucose Solution.

Wei Tao, Zhiqian Lu, Qiaozhi He, Pengfei Lv, Qian Wang, Hui Zhao

Sensors, 2018