Haozhe Zhao

According to our database, Haozhe Zhao authored at least 39 papers between 2021 and 2026.

Collaborative distances:

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

2026

SADGCN-GC: self-attention-based deep graph convolutional neural network with quantization and visualization for graph classification.

Zhaofeng Chen, Baodan Ye, Junhan She, Cheng Yan, Haozhe Zhao, Hongmei Liu, Naixuan Guo, Na Li, Yongping Zhang, Binghe Sun, Sen Xu

Vis. Comput., May, 2026

Crafter: A Multi-Agent Harness for Editable Scientific Figure Generation from Diverse Inputs.

Haozhe Zhao, Shuzheng Si, Zhenhailong Wang, Zheng Wang, Liang Chen, Xiaotong Li, Zhixiang Liang, Maosong Sun, Minjia Zhang

CoRR, May, 2026

Step-wise Rubric Rewards for LLM Reasoning.

Weichu Xie, Haozhe Zhao, Wenpu Liu, Yongfu Zhu, Liang Chen, Minghao Ye, Zirong Chen, Yuqi Xu, Shuai Dong, Ziyue Wang, Xinbo Xu, Kean Shi, Ruoyu Wu, Xiaoying Zhang, Wenqi Shao, Baobao Chang, Nan Duan, Jiaqi Wang

CoRR, May, 2026

From Context to Skills: Can Language Models Learn from Context Skillfully?

Shuzheng Si, Haozhe Zhao, Yu Lei, Qingyi Wang, Dingwei Chen, Zhitong Wang, Zhenhailong Wang, Kangyang Luo, Zheng Wang, Gang Chen, Fanchao Qi, Minjia Zhang, Maosong Sun

CoRR, April, 2026

Less Data, Faster Convergence: Goal-Driven Data Optimization for Multimodal Instruction Tuning.

Rujie Wu, Haozhe Zhao, Hai Ci, Yizhou Wang

CoRR, March, 2026

From Preferences to Prejudice: The Role of Alignment Tuning in Shaping Social Bias in Video Diffusion Models.

Zefan Cai, Haoyi Qiu, Haozhe Zhao, Ke Wan, Jiachen Li, Jiuxiang Gu, Wen Xiao, Nanyun Peng, Junjie Hu

Trans. Mach. Learn. Res., 2026

A Goal Without a Plan Is Just a Wish: Efficient and Effective Global Planner Training for Long-Horizon Agent Task.

Shuzheng Si, Haozhe Zhao, Kangyang Luo, Gang Chen, Fanchao Qi, Minjia Zhang, Baobao Chang, Maosong Sun

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Teaching Large Language Models to Maintain Contextual Faithfulness via Synthetic Tasks and Reinforcement Learning.

Shuzheng Si, Haozhe Zhao, Cheng Gao, Yuzhuo Bai, Zhitong Wang, Bofei Gao, Kangyang Luo, Wenhao Li, Yufei Huang, Gang Chen, Fanchao Qi, Minjia Zhang, Baobao Chang, Maosong Sun

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

FaithLens: Detecting and Explaining Faithfulness Hallucination.

Shuzheng Si, Qingyi Wang, Haozhe Zhao, Yuzhuo Bai, Guanqiao Chen, Kangyang Luo, Gang Chen, Fanchao Qi, Minjia Zhang, Baobao Chang, Maosong Sun

CoRR, December, 2025

MMGR: Multi-Modal Generative Reasoning.

Zefan Cai, Haoyi Qiu, Tianyi Ma, Haozhe Zhao, Gengze Zhou, Kung-Hsiang Huang, Parisa Kordjamshidi, Minjia Zhang, Wen Xiao, Jiuxiang Gu, Nanyun Peng, Junjie Hu

CoRR, December, 2025

A Goal Without a Plan Is Just a Wish: Efficient and Effective Global Planner Training for Long-Horizon Agent Tasks.

Shuzheng Si, Haozhe Zhao, Kangyang Luo, Gang Chen, Fanchao Qi, Minjia Zhang, Baobao Chang, Maosong Sun

CoRR, October, 2025

Sparse Training Scheme for Multimodal LLM.

Kean Shi, Liang Chen, Haozhe Zhao, Baobao Chang

CoRR, September, 2025

MENTOR: Efficient Multimodal-Conditioned Tuning for Autoregressive Vision Generation Models.

Haozhe Zhao, Zefan Cai, Shuzheng Si, Liang Chen, Jiuxiang Gu, Wen Xiao, Junjie Hu

CoRR, July, 2025

LongViTU: Instruction Tuning for Long-Form Video Understanding.

Rujie Wu, Xiaojian Ma, Hai Ci, Yue Fan, Yuxuan Wang, Haozhe Zhao, Qing Li, Yizhou Wang

CoRR, January, 2025

NEP: Autoregressive Image Editing via Next Editing Token Prediction.

Huimin Wu, Xiaojian (Shawn) Ma, Haozhe Zhao, Yanpeng Zhao, Qing Li

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

MMEvalPro: Calibrating Multimodal Benchmarks Towards Trustworthy and Efficient Evaluation.

Jinsheng Huang, Liang Chen, Taian Guo, Fu Zeng, Yusheng Zhao, Bohan Wu, Ye Yuan, Haozhe Zhao, Zhihui Guo, Yichi Zhang, Jingyang Yuan, Wei Ju, Luchen Liu, Tianyu Liu, Baobao Chang, Ming Zhang

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

A Spark of Vision-Language Intelligence: 2-Dimensional Autoregressive Transformer for Efficient Finegrained Image Generation.

Liang Chen, Sinan Tan, Zefan Cai, Weichu Xie, Haozhe Zhao, Yichi Zhang, Junyang Lin, Jinze Bai, Tianyu Liu, Baobao Chang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Multimodal Representation Alignment for Image Generation: Text-Image Interleaved Control is Easier than You Think.

Liang Chen, Shuai Bai, Wenhao Chai, Weichu Xie, Haozhe Zhao, Leon Vinci, Junyang Lin, Baobao Chang

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

Looking Beyond Text: Reducing Language Bias in Large Vision-Language Models via Multimodal Dual-Attention and Soft-Image Guidance.

Haozhe Zhao, Shuzheng Si, Liang Chen, Yichi Zhang, Maosong Sun, Baobao Chang, Minjia Zhang

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

GATEAU: Selecting Influential Samples for Long Context Alignment.

Shuzheng Si, Haozhe Zhao, Gang Chen, Yunshui Li, Kangyang Luo, Chuancheng Lv, Kaikai An, Fanchao Qi, Baobao Chang, Maosong Sun

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

CCAgent: Coordinating Collaborative Data Scaling for Operating System Agents via Web3.

Liang Chen, Haozhe Zhao, Yinzhen Huang, Yang Luo, Tsekai Lin, Weichu Xie, Ruoyu Wu, Peiyi Wang, Runxin Xu, Ming Wu, Baobao Chang

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Aligning Large Language Models to Follow Instructions and Hallucinate Less via Effective Data Filtering.

Shuzheng Si, Haozhe Zhao, Gang Chen, Cheng Gao, Yuzhuo Bai, Zhitong Wang, Kaikai An, Kangyang Luo, Chen Qian, Fanchao Qi, Baobao Chang, Maosong Sun

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Rethinking Semantic Parsing for Large Language Models: Enhancing LLM Performance with Semantic Hints.

Kaikai An, Shuzheng Si, Helan Hu, Haozhe Zhao, Yuchi Wang, Qingyan Guo, Baobao Chang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2025

2024

Next Token Prediction Towards Multimodal Intelligence: A Comprehensive Survey.

Liang Chen, Zekun Wang, Shuhuai Ren, Lei Li, Haozhe Zhao, Yunshui Li, Zefan Cai, Hongcheng Guo, Lei Zhang, Yizhe Xiong, Yichi Zhang, Ruoyu Wu, Qingxiu Dong, Ge Zhang, Jian Yang, Lingwei Meng, Shujie Hu, Yulong Chen, Junyang Lin, Shuai Bai, Andreas Vlachos, Xu Tan, Minjia Zhang, Wen Xiao, Aaron Yee, Tianyu Liu, Baobao Chang

CoRR, 2024

Looking Beyond Text: Reducing Language bias in Large Vision-Language Models via Multimodal Dual-Attention and Soft-Image Guidance.

Haozhe Zhao, Shuzheng Si, Liang Chen, Yichi Zhang, Maosong Sun, Mingjia Zhang, Baobao Chang

CoRR, 2024

Selecting Influential Samples for Long Context Alignment via Homologous Models' Guidance and Contextual Awareness Measurement.

Shuzheng Si, Haozhe Zhao, Gang Chen, Yunshui Li, Kangyang Luo, Chuancheng Lv, Kaikai An, Fanchao Qi, Baobao Chang, Maosong Sun

CoRR, 2024

UltraEdit: Instruction-based Fine-Grained Image Editing at Scale.

Haozhe Zhao, Xiaojian (Shawn) Ma, Liang Chen, Shuzheng Si, Rujie Wu, Kaikai An, Peiyu Yu, Minjia Zhang, Qing Li, Baobao Chang

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Mitigating Language-Level Performance Disparity in mPLMs via Teacher Language Selection and Cross-lingual Self-Distillation.

Haozhe Zhao, Zefan Cai, Shuzheng Si, Liang Chen, Yufeng He, Kaikai An, Baobao Chang

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

MMICL: Empowering Vision-language Model with Multi-Modal In-Context Learning.

Haozhe Zhao, Zefan Cai, Shuzheng Si, Xiaojian Ma, Kaikai An, Liang Chen, Zixuan Liu, Sheng Wang, Wenjuan Han, Baobao Chang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

An Image is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language Models.

Liang Chen, Haozhe Zhao, Tianyu Liu, Shuai Bai, Junyang Lin, Chang Zhou, Baobao Chang

Proceedings of the Computer Vision - ECCV 2024, 2024

Improving the Robustness of Distantly-Supervised Named Entity Recognition via Uncertainty-Aware Teacher Learning and Student-Student Collaborative Learning.

Shuzheng Si, Helan Hu, Haozhe Zhao, Shuang Zeng, Kaikai An, Zefan Cai, Baobao Chang

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

PCA-Bench: Evaluating Multimodal Large Language Models in Perception-Cognition-Action Chain.

Liang Chen, Yichi Zhang, Shuhuai Ren, Haozhe Zhao, Zefan Cai, Yuchi Wang, Peiyi Wang, Xiangdi Meng, Tianyu Liu, Baobao Chang

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

2023

ML-Bench: Large Language Models Leverage Open-source Libraries for Machine Learning Tasks.

Yuliang Liu, Xiangru Tang, Zefan Cai, Junjie Lu, Yichi Zhang, Yanjun Shao, Zexuan Deng, Helan Hu, Zengxian Yang, Kaikai An, Ruijun Huang, Shuzheng Si, Sheng Chen, Haozhe Zhao, Zhengliang Li, Liang Chen, Yiming Zong, Yan Wang, Tianyu Liu, Zhiwei Jiang, Baobao Chang, Yujia Qin, Wangchunshu Zhou, Yilun Zhao, Arman Cohan, Mark Gerstein

CoRR, 2023

Distantly-Supervised Named Entity Recognition with Uncertainty-aware Teacher Learning and Student-student Collaborative Learning.

Helan Hu, Shuzheng Si, Haozhe Zhao, Shuang Zeng, Kaikai An, Zefan Cai, Baobao Chang

CoRR, 2023

Towards End-to-End Embodied Decision Making via Multi-modal Large Language Model: Explorations with GPT4-Vision and Beyond.

Liang Chen, Yichi Zhang, Shuhuai Ren, Haozhe Zhao, Zefan Cai, Yuchi Wang, Peiyi Wang, Tianyu Liu, Baobao Chang

CoRR, 2023

Removing Camouflage and Revealing Collusion: Leveraging Gang-crime Pattern in Fraudster Detection.

Lewen Wang, Haozhe Zhao, Cunguang Feng, Weiqing Liu, Congrui Huang, Marco Santoni, Manuel Cristofaro, Paola Jafrancesco, Jiang Bian

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Coarse-to-Fine Dual Encoders are Better Frame Identification Learners.

Kaikai An, Ce Zheng, Bofei Gao, Haozhe Zhao, Baobao Chang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Empowering MultiModal Models' In-Context Learning Ability through Large Language Models.

Wenjuan Han, Haozhe Zhao, Zefan Cai

Proceedings of the ACM Turing Award Celebration Conference - China 2023, 2023

2021

Traffic Accident Prediction Methods Based on Multi-factor Models.

Haozhe Zhao, Guozheng Rao

Proceedings of the Knowledge Science, Engineering and Management, 2021