Chang Zhou

According to our database, Chang Zhou authored at least 68 papers between 2019 and 2025.

Collaborative distances:

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

2025

Self-play with Execution Feedback: Improving Instruction-following Capabilities of Large Language Models.

Guanting Dong, Keming Lu, Chengpeng Li, Tingyu Xia, Bowen Yu, Chang Zhou, Jingren Zhou

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

IW-Bench: Evaluating Large Multimodal Models for Converting Image-to-Web.

Hongcheng Guo, Wei Zhang, Junhao Chen, Yaonan Gu, Jian Yang, Junjia Du, Shaosheng Cao, Binyuan Hui, Tianyu Liu, Jianxin Ma, Chang Zhou, Zhoujun Li

Proceedings of the Findings of the Association for Computational Linguistics, 2025

LLM Critics Help Catch Bugs in Mathematics: Towards a Better Mathematical Verifier with Natural Language Feedback.

Bofei Gao, Zefan Cai, Runxin Xu, Peiyi Wang, Ce Zheng, Runji Lin, Keming Lu, Dayiheng Liu, Chang Zhou, Wen Xiao, Tianyu Liu, Baobao Chang

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

IW-Bench: Evaluating Large Multimodal Models for Converting Image-to-Web.

Hongcheng Guo, Wei Zhang, Junhao Chen, Yaonan Gu, Jian Yang, Junjia Du, Binyuan Hui, Tianyu Liu, Jianxin Ma, Chang Zhou, Zhoujun Li

CoRR, 2024

Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

Peng Wang, Shuai Bai, Sinan Tan, Shijie Wang, Zhihao Fan, Jinze Bai, Keqin Chen, Xuejing Liu, Jialin Wang, Wenbin Ge, Yang Fan, Kai Dang, Mengfei Du, Xuancheng Ren, Rui Men, Dayiheng Liu, Chang Zhou, Jingren Zhou, Junyang Lin

CoRR, 2024

Qwen2-Audio Technical Report.

Yunfei Chu, Jin Xu, Qian Yang, Haojie Wei, Xipin Wei, Zhifang Guo, Yichong Leng, Yuanjun Lv, Jinzheng He, Junyang Lin, Chang Zhou, Jingren Zhou

CoRR, 2024

Qwen2 Technical Report.

An Yang, Baosong Yang, Binyuan Hui, Bo Zheng, Bowen Yu, Chang Zhou, Chengpeng Li, Chengyuan Li, Dayiheng Liu, Fei Huang, Guanting Dong, Haoran Wei, Huan Lin, Jialong Tang, Jialin Wang, Jian Yang, Jianhong Tu, Jianwei Zhang, Jianxin Ma, Jianxin Yang, Jin Xu, Jingren Zhou, Jinze Bai, Jinzheng He, Junyang Lin, Kai Dang, Keming Lu, Keqin Chen, Kexin Yang, Mei Li, Mingfeng Xue, Na Ni, Pei Zhang, Peng Wang, Ru Peng, Rui Men, Ruize Gao, Runji Lin, Shijie Wang, Shuai Bai, Sinan Tan, Tianhang Zhu, Tianhao Li, Tianyu Liu, Wenbin Ge, Xiaodong Deng, Xiaohuan Zhou, Xingzhang Ren, Xinyu Zhang, Xipin Wei, Xuancheng Ren, Xuejing Liu, Yang Fan, Yang Yao, Yichang Zhang, Yu Wan, Yunfei Chu, Yuqiong Liu, Zeyu Cui, Zhenru Zhang, Zhifang Guo, Zhihao Fan

CoRR, 2024

LLM Critics Help Catch Bugs in Mathematics: Towards a Better Mathematical Verifier with Natural Language Feedback.

Bofei Gao, Zefan Cai, Runxin Xu, Peiyi Wang, Ce Zheng, Runji Lin, Keming Lu, Junyang Lin, Chang Zhou, Wen Xiao, Junjie Hu, Tianyu Liu, Baobao Chang

CoRR, 2024

Online Merging Optimizers for Boosting Rewards and Mitigating Tax in Alignment.

Keming Lu, Bowen Yu, Fei Huang, Yang Fan, Runji Lin, Chang Zhou

CoRR, 2024

Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models.

Keming Lu, Hongyi Yuan, Runji Lin, Junyang Lin, Zheng Yuan, Chang Zhou, Jingren Zhou

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

Training-Free Long-Context Scaling of Large Language Models.

Chenxin An, Fei Huang, Jun Zhang, Shansan Gong, Xipeng Qiu, Chang Zhou, Lingpeng Kong

Proceedings of the Forty-first International Conference on Machine Learning, 2024

#InsTag: Instruction Tagging for Analyzing Supervised Fine-tuning of Large Language Models.

Keming Lu, Hongyi Yuan, Zheng Yuan, Runji Lin, Junyang Lin, Chuanqi Tan, Chang Zhou, Jingren Zhou

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Predicting Rewards Alongside Tokens: Non-disruptive Parameter Insertion for Efficient Inference Intervention in Large Language Model.

Chenhan Yuan, Fei Huang, Ru Peng, Keming Lu, Bowen Yu, Chang Zhou, Jingren Zhou

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Can Large Language Models Always Solve Easy Problems if They Can Solve Harder Ones?

Zhe Yang, Yichang Zhang, Tianyu Liu, Jian Yang, Junyang Lin, Chang Zhou, Zhifang Sui

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 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

Speculative Contrastive Decoding.

Hongyi Yuan, Keming Lu, Fei Huang, Zheng Yuan, Chang Zhou

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, 2024

AIR-Bench: Benchmarking Large Audio-Language Models via Generative Comprehension.

Qian Yang, Jin Xu, Wenrui Liu, Yunfei Chu, Ziyue Jiang, Xiaohuan Zhou, Yichong Leng, Yuanjun Lv, Zhou Zhao, Chang Zhou, Jingren Zhou

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Synthesizing Text-to-SQL Data from Weak and Strong LLMs.

Jiaxi Yang, Binyuan Hui, Min Yang, Jian Yang, Junyang Lin, Chang Zhou

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Language Models can Evaluate Themselves via Probability Discrepancy.

Tingyu Xia, Bowen Yu, Yuan Wu, Yi Chang, Chang Zhou

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

Large Language Models are Superpositions of All Characters: Attaining Arbitrary Role-play via Self-Alignment.

Keming Lu, Bowen Yu, Chang Zhou, Jingren Zhou

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

MuggleMath: Assessing the Impact of Query and Response Augmentation on Math Reasoning.

Chengpeng Li, Zheng Yuan, Hongyi Yuan, Guanting Dong, Keming Lu, Jiancan Wu, Chuanqi Tan, Xiang Wang, Chang Zhou

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition.

Guanting Dong, Hongyi Yuan, Keming Lu, Chengpeng Li, Mingfeng Xue, Dayiheng Liu, Wei Wang, Zheng Yuan, Chang Zhou, Jingren Zhou

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Controllable 3D Face Generation with Conditional Style Code Diffusion.

Xiaolong Shen, Jianxin Ma, Chang Zhou, Zongxin Yang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Region or Global? A Principle for Negative Sampling in Graph-Based Recommendation.

Zhen Yang, Ming Ding, Xu Zou, Jie Tang, Bin Xu, Chang Zhou, Hongxia Yang

IEEE Trans. Knowl. Data Eng., June, 2023

CogKR: Cognitive Graph for Multi-Hop Knowledge Reasoning.

Zhengxiao Du, Chang Zhou, Jiangchao Yao, Teng Tu, Letian Cheng, Hongxia Yang, Jingren Zhou, Jie Tang

IEEE Trans. Knowl. Data Eng., 2023

Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models.

Yunfei Chu, Jin Xu, Xiaohuan Zhou, Qian Yang, Shiliang Zhang, Zhijie Yan, Chang Zhou, Jingren Zhou

CoRR, 2023

OccuQuest: Mitigating Occupational Bias for Inclusive Large Language Models.

Mingfeng Xue, Dayiheng Liu, Kexin Yang, Guanting Dong, Wenqiang Lei, Zheng Yuan, Chang Zhou, Jingren Zhou

CoRR, 2023

Query and Response Augmentation Cannot Help Out-of-domain Math Reasoning Generalization.

Chengpeng Li, Zheng Yuan, Hongyi Yuan, Guanting Dong, Keming Lu, Jiancan Wu, Chuanqi Tan, Xiang Wang, Chang Zhou

CoRR, 2023

LauraGPT: Listen, Attend, Understand, and Regenerate Audio with GPT.

Jiaming Wang, Zhihao Du, Qian Chen, Yunfei Chu, Zhifu Gao, Zerui Li, Kai Hu, Xiaohuan Zhou, Jin Xu, Ziyang Ma, Wen Wang, Siqi Zheng, Chang Zhou, Zhijie Yan, Shiliang Zhang

CoRR, 2023

Qwen Technical Report.

Jinze Bai, Shuai Bai, Yunfei Chu, Zeyu Cui, Kai Dang, Xiaodong Deng, Yang Fan, Wenbin Ge, Yu Han, Fei Huang, Binyuan Hui, Luo Ji, Mei Li, Junyang Lin, Runji Lin, Dayiheng Liu, Gao Liu, Chengqiang Lu, Keming Lu, Jianxin Ma, Rui Men, Xingzhang Ren, Xuancheng Ren, Chuanqi Tan, Sinan Tan, Jianhong Tu, Peng Wang, Shijie Wang, Wei Wang, Shengguang Wu, Benfeng Xu, Jin Xu, An Yang, Hao Yang, Jian Yang, Shusheng Yang, Yang Yao, Bowen Yu, Hongyi Yuan, Zheng Yuan, Jianwei Zhang, Xingxuan Zhang, Yichang Zhang, Zhenru Zhang, Chang Zhou, Jingren Zhou, Xiaohuan Zhou, Tianhang Zhu

CoRR, 2023

TouchStone: Evaluating Vision-Language Models by Language Models.

Shuai Bai, Shusheng Yang, Jinze Bai, Peng Wang, Xingxuan Zhang, Junyang Lin, Xinggang Wang, Chang Zhou, Jingren Zhou

CoRR, 2023

Qwen-VL: A Frontier Large Vision-Language Model with Versatile Abilities.

Jinze Bai, Shuai Bai, Shusheng Yang, Shijie Wang, Sinan Tan, Peng Wang, Junyang Lin, Chang Zhou, Jingren Zhou

CoRR, 2023

Scaling Relationship on Learning Mathematical Reasoning with Large Language Models.

Zheng Yuan, Hongyi Yuan, Chengpeng Li, Guanting Dong, Chuanqi Tan, Chang Zhou

CoRR, 2023

ONE-PEACE: Exploring One General Representation Model Toward Unlimited Modalities.

Peng Wang, Shijie Wang, Junyang Lin, Shuai Bai, Xiaohuan Zhou, Jingren Zhou, Xinggang Wang, Chang Zhou

CoRR, 2023

CogDL: A Comprehensive Library for Graph Deep Learning.

Yukuo Cen, Zhenyu Hou, Yan Wang, Qibin Chen, Yizhen Luo, Zhongming Yu, Hengrui Zhang, Xingcheng Yao, Aohan Zeng, Shiguang Guo, Yuxiao Dong, Yang Yang, Peng Zhang, Guohao Dai, Yu Wang, Chang Zhou, Hongxia Yang, Jie Tang

Proceedings of the ACM Web Conference 2023, 2023

MMSpeech: Multi-modal Multi-task Encoder-Decoder Pre-training for speech recognition.

Xiaohuan Zhou, Jiaming Wang, Zeyu Cui, Shiliang Zhang, Zhijie Yan, Jingren Zhou, Chang Zhou

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

TransHuman: A Transformer-based Human Representation for Generalizable Neural Human Rendering.

Xiao Pan, Zongxin Yang, Jianxin Ma, Chang Zhou, Yi Yang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

JOTR: 3D Joint Contrastive Learning with Transformers for Occluded Human Mesh Recovery.

Jiahao Li, Zongxin Yang, Xiaohan Wang, Jianxin Ma, Chang Zhou, Yi Yang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Global-to-Local Modeling for Video-Based 3D Human Pose and Shape Estimation.

Xiaolong Shen, Zongxin Yang, Xiaohan Wang, Jianxin Ma, Chang Zhou, Yi Yang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Prompt Tuning for Unified Multimodal Pretrained Models.

Hao Yang, Junyang Lin, An Yang, Peng Wang, Chang Zhou

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

Transferring General Multimodal Pretrained Models to Text Recognition.

Junyang Lin, Xuancheng Ren, Yichang Zhang, Gao Liu, Peng Wang, An Yang, Chang Zhou

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

2022

OFASys: A Multi-Modal Multi-Task Learning System for Building Generalist Models.

Jinze Bai, Rui Men, Hao Yang, Xuancheng Ren, Kai Dang, Yichang Zhang, Xiaohuan Zhou, Peng Wang, Sinan Tan, An Yang, Zeyu Cui, Yu Han, Shuai Bai, Wenbin Ge, Jianxin Ma, Junyang Lin, Jingren Zhou, Chang Zhou

CoRR, 2022

Chinese CLIP: Contrastive Vision-Language Pretraining in Chinese.

An Yang, Junshu Pan, Junyang Lin, Rui Men, Yichang Zhang, Jingren Zhou, Chang Zhou

CoRR, 2022

Prompt Tuning for Generative Multimodal Pretrained Models.

Hao Yang, Junyang Lin, An Yang, Peng Wang, Chang Zhou, Hongxia Yang

CoRR, 2022

M6-Fashion: High-Fidelity Multi-modal Image Generation and Editing.

Zhikang Li, Huiling Zhou, Shuai Bai, Peike Li, Chang Zhou, Hongxia Yang

CoRR, 2022

M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems.

Zeyu Cui, Jianxin Ma, Chang Zhou, Jingren Zhou, Hongxia Yang

CoRR, 2022

Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework.

Peng Wang, An Yang, Rui Men, Junyang Lin, Shuai Bai, Zhikang Li, Jianxin Ma, Chang Zhou, Jingren Zhou, Hongxia Yang

CoRR, 2022

In-N-Out Generative Learning for Dense Unsupervised Video Segmentation.

Xiao Pan, Peike Li, Zongxin Yang, Huiling Zhou, Chang Zhou, Hongxia Yang, Jingren Zhou, Yi Yang

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework.

Peng Wang, An Yang, Rui Men, Junyang Lin, Shuai Bai, Zhikang Li, Jianxin Ma, Chang Zhou, Jingren Zhou, Hongxia Yang

Proceedings of the International Conference on Machine Learning, 2022

2021

M6-10T: A Sharing-Delinking Paradigm for Efficient Multi-Trillion Parameter Pretraining.

Junyang Lin, An Yang, Jinze Bai, Chang Zhou, Le Jiang, Xianyan Jia, Ang Wang, Jie Zhang, Yong Li, Wei Lin, Jingren Zhou, Hongxia Yang

CoRR, 2021

Exploring Sparse Expert Models and Beyond.

An Yang, Junyang Lin, Rui Men, Chang Zhou, Le Jiang, Xianyan Jia, Ang Wang, Jie Zhang, Jiamang Wang, Yong Li, Di Zhang, Wei Lin, Lin Qu, Jingren Zhou, Hongxia Yang

CoRR, 2021

CogDL: An Extensive Toolkit for Deep Learning on Graphs.

Yukuo Cen, Zhenyu Hou, Yan Wang, Qibin Chen, Yizhen Luo, Xingcheng Yao, Aohan Zeng, Shiguang Guo, Peng Zhang, Guohao Dai, Yu Wang, Chang Zhou, Hongxia Yang, Jie Tang

CoRR, 2021

M6: A Chinese Multimodal Pretrainer.

Junyang Lin, Rui Men, An Yang, Chang Zhou, Ming Ding, Yichang Zhang, Peng Wang, Ang Wang, Le Jiang, Xianyan Jia, Jie Zhang, Jianwei Zhang, Xu Zou, Zhikang Li, Xiaodong Deng, Jie Liu, Jinbao Xue, Huiling Zhou, Jianxin Ma, Jin Yu, Yong Li, Wei Lin, Jingren Zhou, Jie Tang, Hongxia Yang

CoRR, 2021

UFC-BERT: Unifying Multi-Modal Controls for Conditional Image Synthesis.

Zhu Zhang, Jianxin Ma, Chang Zhou, Rui Men, Zhikang Li, Ming Ding, Jie Tang, Jingren Zhou, Hongxia Yang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

CogView: Mastering Text-to-Image Generation via Transformers.

Ming Ding, Zhuoyi Yang, Wenyi Hong, Wendi Zheng, Chang Zhou, Da Yin, Junyang Lin, Xu Zou, Zhou Shao, Hongxia Yang, Jie Tang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Contrastive Learning for Debiased Candidate Generation in Large-Scale Recommender Systems.

Chang Zhou, Jianxin Ma, Jianwei Zhang, Jingren Zhou, Hongxia Yang

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Are we really making much progress?: Revisiting, benchmarking and refining heterogeneous graph neural networks.

Qingsong Lv, Ming Ding, Qiang Liu, Yuxiang Chen, Wenzheng Feng, Siming He, Chang Zhou, Jianguo Jiang, Yuxiao Dong, Jie Tang

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

M6: Multi-Modality-to-Multi-Modality Multitask Mega-transformer for Unified Pretraining.

Junyang Lin, Rui Men, An Yang, Chang Zhou, Yichang Zhang, Peng Wang, Jingren Zhou, Jie Tang, Hongxia Yang

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Learning to Rehearse in Long Sequence Memorization.

Zhu Zhang, Chang Zhou, Jianxin Ma, Zhijie Lin, Jingren Zhou, Hongxia Yang, Zhou Zhao

Proceedings of the 38th International Conference on Machine Learning, 2021

Connecting Language and Vision for Natural Language-Based Vehicle Retrieval.

Shuai Bai, Zhedong Zheng, Xiaohan Wang, Junyang Lin, Zhu Zhang, Chang Zhou, Hongxia Yang, Yi Yang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Sketch and Refine: Towards Faithful and Informative Table-to-Text Generation.

Peng Wang, Junyang Lin, An Yang, Chang Zhou, Yichang Zhang, Jingren Zhou, Hongxia Yang

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

Contrastive Learning for Debiased Candidate Generation at Scale.

Chang Zhou, Jianxin Ma, Jianwei Zhang, Jingren Zhou, Hongxia Yang

CoRR, 2020

CogLTX: Applying BERT to Long Texts.

Ming Ding, Chang Zhou, Hongxia Yang, Jie Tang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Understanding Negative Sampling in Graph Representation Learning.

Zhen Yang, Ming Ding, Chang Zhou, Hongxia Yang, Jingren Zhou, Jie Tang

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Controllable Multi-Interest Framework for Recommendation.

Yukuo Cen, Jianwei Zhang, Xu Zou, Chang Zhou, Hongxia Yang, Jie Tang

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019

AliGraph: A Comprehensive Graph Neural Network Platform.

Rong Zhu, Kun Zhao, Hongxia Yang, Wei Lin, Chang Zhou, Baole Ai, Yong Li, Jingren Zhou

Proc. VLDB Endow., 2019

Cognitive Knowledge Graph Reasoning for One-shot Relational Learning.

Zhengxiao Du, Chang Zhou, Ming Ding, Hongxia Yang, Jie Tang

CoRR, 2019

Cognitive Graph for Multi-Hop Reading Comprehension at Scale.

Ming Ding, Chang Zhou, Qibin Chen, Hongxia Yang, Jie Tang

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019