Haozhe Zhao

47 papers A* 7A 1C 1Journal 28Unranked 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
From Preferences to Prejudice: The Role of Alignment Tuning in Shaping Social Bias in Video Diffusion Models.
Trans. Mach. Learn. Res.
Zefan Cai, Haoyi Qiu, Haozhe Zhao, Ke Wan, Jiachen Li, Jiuxiang Gu, Wen Xiao, Nanyun Peng, Junjie Hu
2026 J jnl
Less Data, Faster Convergence: Goal-Driven Data Optimization for Multimodal Instruction Tuning.
CoRR
Rujie Wu, Haozhe Zhao, Hai Ci, Yizhou Wang
2026 A* conf
Teaching Large Language Models to Maintain Contextual Faithfulness via Synthetic Tasks and Reinforcement Learning.
AAAI
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
2025 J jnl
A Goal Without a Plan Is Just a Wish: Efficient and Effective Global Planner Training for Long-Horizon Agent Tasks.
CoRR
Shuzheng Si, Haozhe Zhao, Kangyang Luo, Gang Chen, Fanchao Qi, Minjia Zhang, Baobao Chang, Maosong Sun
2025 A* conf
A Spark of Vision-Language Intelligence: 2-Dimensional Autoregressive Transformer for Efficient Finegrained Image Generation.
ICLR
Liang Chen, Sinan Tan, Zefan Cai, Weichu Xie, Haozhe Zhao, Yichi Zhang, Junyang Lin, Jinze Bai, Tianyu Liu, Baobao Chang
2025 — conf
Aligning Large Language Models to Follow Instructions and Hallucinate Less via Effective Data Filtering.
ACL (1)
Shuzheng Si, Haozhe Zhao, Gang Chen, Cheng Gao, Yuzhuo Bai, Zhitong Wang, Kaikai An, Kangyang Luo, Chen Qian, Fanchao Qi, Baobao Chang, Maosong Sun
2025 J jnl
Aligning Large Language Models to Follow Instructions and Hallucinate Less via Effective Data Filtering.
CoRR
Shuzheng Si, Haozhe Zhao, Gang Chen, Cheng Gao, Yuzhuo Bai, Zhitong Wang, Kaikai An, Kangyang Luo, Chen Qian, Fanchao Qi, Baobao Chang, Maosong Sun
2025 A conf
CCAgent: Coordinating Collaborative Data Scaling for Operating System Agents via Web3.
CIKM
Liang Chen, Haozhe Zhao, Yinzhen Huang, Yang Luo, Tsekai Lin, Weichu Xie, Ruoyu Wu, Peiyi Wang, Runxin Xu, Ming Wu, Baobao Chang
2025 J jnl
FaithLens: Detecting and Explaining Faithfulness Hallucination.
CoRR
Shuzheng Si, Qingyi Wang, Haozhe Zhao, Yuzhuo Bai, Guanqiao Chen, Kangyang Luo, Gang Chen, Fanchao Qi, Minjia Zhang, Baobao Chang, Maosong Sun
2025 J jnl
From Preferences to Prejudice: The Role of Alignment Tuning in Shaping Social Bias in Video Diffusion Models.
CoRR
Zefan Cai, Haoyi Qiu, Haozhe Zhao, Ke Wan, Jiachen Li, Jiuxiang Gu, Wen Xiao, Nanyun Peng, Junjie Hu
2025 A* conf
GATEAU: Selecting Influential Samples for Long Context Alignment.
EMNLP
Shuzheng Si, Haozhe Zhao, Gang Chen, Yunshui Li, Kangyang Luo, Chuancheng Lv, Kaikai An, Fanchao Qi, Baobao Chang, Maosong Sun
2025 J jnl
LongViTU: Instruction Tuning for Long-Form Video Understanding.
CoRR
Rujie Wu, Xiaojian Ma, Hai Ci, Yue Fan, Yuxuan Wang, Haozhe Zhao, Qing Li, Yizhou Wang
2025 A* conf
Looking Beyond Text: Reducing Language Bias in Large Vision-Language Models via Multimodal Dual-Attention and Soft-Image Guidance.
EMNLP
Haozhe Zhao, Shuzheng Si, Liang Chen, Yichi Zhang, Maosong Sun, Baobao Chang, Minjia Zhang
2025 J jnl
MENTOR: Efficient Multimodal-Conditioned Tuning for Autoregressive Vision Generation Models.
CoRR
Haozhe Zhao, Zefan Cai, Shuzheng Si, Liang Chen, Jiuxiang Gu, Wen Xiao, Junjie Hu
2025 — conf
MMEvalPro: Calibrating Multimodal Benchmarks Towards Trustworthy and Efficient Evaluation.
NAACL (Long Papers)
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
2025 J jnl
MMGR: Multi-Modal Generative Reasoning.
CoRR
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
2025 J jnl
Multimodal Representation Alignment for Image Generation: Text-Image Interleaved Control Is Easier Than You Think.
CoRR
Liang Chen, Shuai Bai, Wenhao Chai, Weichu Xie, Haozhe Zhao, Leon Vinci, Junyang Lin, Baobao Chang
2025 — conf
Multimodal Representation Alignment for Image Generation: Text-Image Interleaved Control is Easier than You Think.
ICCVW
Liang Chen, Shuai Bai, Wenhao Chai, Weichu Xie, Haozhe Zhao, Leon Vinci, Junyang Lin, Baobao Chang
2025 J jnl
NEP: Autoregressive Image Editing via Next Editing Token Prediction.
CoRR
Huimin Wu, Xiaojian Ma, Haozhe Zhao, Yanpeng Zhao, Qing Li
2025 — conf
Rethinking Semantic Parsing for Large Language Models: Enhancing LLM Performance with Semantic Hints.
ACL (2)
Kaikai An, Shuzheng Si, Helan Hu, Haozhe Zhao, Yuchi Wang, Qingyan Guo, Baobao Chang
2025 J jnl
Sparse Training Scheme for Multimodal LLM.
CoRR
Kean Shi, Liang Chen, Haozhe Zhao, Baobao Chang
2025 J jnl
Teaching Large Language Models to Maintain Contextual Faithfulness via Synthetic Tasks and Reinforcement Learning.
CoRR
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
2024 J jnl
A Spark of Vision-Language Intelligence: 2-Dimensional Autoregressive Transformer for Efficient Finegrained Image Generation.
CoRR
Liang Chen, Sinan Tan, Zefan Cai, Weichu Xie, Haozhe Zhao, Yichi Zhang, Junyang Lin, Jinze Bai, Tianyu Liu, Baobao Chang
2024 — conf
An Image is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language Models.
ECCV (81)
Liang Chen, Haozhe Zhao, Tianyu Liu, Shuai Bai, Junyang Lin, Chang Zhou, Baobao Chang
2024 J jnl
An Image is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language Models.
CoRR
Liang Chen, Haozhe Zhao, Tianyu Liu, Shuai Bai, Junyang Lin, Chang Zhou, Baobao Chang
2024 — conf
Improving the Robustness of Distantly-Supervised Named Entity Recognition via Uncertainty-Aware Teacher Learning and Student-Student Collaborative Learning.
ACL (Findings)
Shuzheng Si, Helan Hu, Haozhe Zhao, Shuang Zeng, Kaikai An, Zefan Cai, Baobao Chang
2024 J jnl
Looking Beyond Text: Reducing Language bias in Large Vision-Language Models via Multimodal Dual-Attention and Soft-Image Guidance.
CoRR
Haozhe Zhao, Shuzheng Si, Liang Chen, Yichi Zhang, Maosong Sun, Mingjia Zhang, Baobao Chang
2024 J jnl
MMEvalPro: Calibrating Multimodal Benchmarks Towards Trustworthy and Efficient Evaluation.
CoRR
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
2024 A* conf
MMICL: Empowering Vision-language Model with Multi-Modal In-Context Learning.
ICLR
Haozhe Zhao, Zefan Cai, Shuzheng Si, Xiaojian Ma, Kaikai An, Liang Chen, Zixuan Liu, Sheng Wang, Wenjuan Han, Baobao Chang
2024 — conf
Mitigating Language-Level Performance Disparity in mPLMs via Teacher Language Selection and Cross-lingual Self-Distillation.
NAACL-HLT
Haozhe Zhao, Zefan Cai, Shuzheng Si, Liang Chen, Yufeng He, Kaikai An, Baobao Chang
2024 J jnl
Mitigating Language-Level Performance Disparity in mPLMs via Teacher Language Selection and Cross-lingual Self-Distillation.
CoRR
Haozhe Zhao, Zefan Cai, Shuzheng Si, Liang Chen, Yufeng He, Kaikai An, Baobao Chang
2024 J jnl
Next Token Prediction Towards Multimodal Intelligence: A Comprehensive Survey.
CoRR
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
2024 — conf
PCA-Bench: Evaluating Multimodal Large Language Models in Perception-Cognition-Action Chain.
ACL (Findings)
Liang Chen, Yichi Zhang, Shuhuai Ren, Haozhe Zhao, Zefan Cai, Yuchi Wang, Peiyi Wang, Xiangdi Meng, Tianyu Liu, Baobao Chang
2024 J jnl
PCA-Bench: Evaluating Multimodal Large Language Models in Perception-Cognition-Action Chain.
CoRR
Liang Chen, Yichi Zhang, Shuhuai Ren, Haozhe Zhao, Zefan Cai, Yuchi Wang, Peiyi Wang, Xiangdi Meng, Tianyu Liu, Baobao Chang
2024 J jnl
Rethinking Semantic Parsing for Large Language Models: Enhancing LLM Performance with Semantic Hints.
CoRR
Kaikai An, Shuzheng Si, Helan Hu, Haozhe Zhao, Yuchi Wang, Qingyan Guo, Baobao Chang
2024 J jnl
Selecting Influential Samples for Long Context Alignment via Homologous Models' Guidance and Contextual Awareness Measurement.
CoRR
Shuzheng Si, Haozhe Zhao, Gang Chen, Yunshui Li, Kangyang Luo, Chuancheng Lv, Kaikai An, Fanchao Qi, Baobao Chang, Maosong Sun
2024 A* conf
UltraEdit: Instruction-based Fine-Grained Image Editing at Scale.
NeurIPS
Haozhe Zhao, Xiaojian (Shawn) Ma, Liang Chen, Shuzheng Si, Rujie Wu, Kaikai An, Peiyu Yu, Minjia Zhang, Qing Li, Baobao Chang
2024 J jnl
UltraEdit: Instruction-based Fine-Grained Image Editing at Scale.
CoRR
Haozhe Zhao, Xiaojian Ma, Liang Chen, Shuzheng Si, Rujie Wu, Kaikai An, Peiyu Yu, Minjia Zhang, Qing Li, Baobao Chang
2023 — conf
Coarse-to-Fine Dual Encoders are Better Frame Identification Learners.
EMNLP (Findings)
Kaikai An, Ce Zheng, Bofei Gao, Haozhe Zhao, Baobao Chang
2023 J jnl
Coarse-to-Fine Dual Encoders are Better Frame Identification Learners.
CoRR
Kaikai An, Ce Zheng, Bofei Gao, Haozhe Zhao, Baobao Chang
2023 J jnl
Distantly-Supervised Named Entity Recognition with Uncertainty-aware Teacher Learning and Student-student Collaborative Learning.
CoRR
Helan Hu, Shuzheng Si, Haozhe Zhao, Shuang Zeng, Kaikai An, Zefan Cai, Baobao Chang
2023 — conf
Empowering MultiModal Models' In-Context Learning Ability through Large Language Models.
ACM TUR-C
Wenjuan Han, Haozhe Zhao, Zefan Cai
2023 J jnl
ML-Bench: Large Language Models Leverage Open-source Libraries for Machine Learning Tasks.
CoRR
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
2023 J jnl
MMICL: Empowering Vision-language Model with Multi-Modal In-Context Learning.
CoRR
Haozhe Zhao, Zefan Cai, Shuzheng Si, Xiaojian Ma, Kaikai An, Liang Chen, Zixuan Liu, Sheng Wang, Wenjuan Han, Baobao Chang
2023 A* conf
Removing Camouflage and Revealing Collusion: Leveraging Gang-crime Pattern in Fraudster Detection.
KDD
Lewen Wang, Haozhe Zhao, Cunguang Feng, Weiqing Liu, Congrui Huang, Marco Santoni, Manuel Cristofaro, Paola Jafrancesco, Jiang Bian
2023 J jnl
Towards End-to-End Embodied Decision Making via Multi-modal Large Language Model: Explorations with GPT4-Vision and Beyond.
CoRR
Liang Chen, Yichi Zhang, Shuhuai Ren, Haozhe Zhao, Zefan Cai, Yuchi Wang, Peiyi Wang, Tianyu Liu, Baobao Chang
2021 C conf
Traffic Accident Prediction Methods Based on Multi-factor Models.
KSEM
Haozhe Zhao, Guozheng Rao