Chi Chen

According to our database, Chi Chen authored at least 36 papers between 2017 and 2026.

Collaborative distances:

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

2026

Cheers: Decoupling Patch Details from Semantic Representations Enables Unified Multimodal Comprehension and Generation.

Yichen Zhang, Da Peng, Zonghao Guo, Zijian Zhang, Xuesong Yang, Tong Sun, Shichu Sun, Yidan Zhang, Yanghao Li, Haiyan Zhao, Wang Xu, Qi Shi, Yangang Sun, Chi Chen, Shuo Wang, Yukun Yan, Xu Han, Qiang Ma, Wei Ke, Liang Wang, Zhiyuan Liu, Maosong Sun

CoRR, March, 2026

Imagination Helps Visual Reasoning, But Not Yet in Latent Space.

You Li, Chi Chen, Yanghao Li, Fanhu Zeng, Kaiyu Huang, Jinan Xu, Maosong Sun

CoRR, February, 2026

LLaVA-UHD v2: Exploiting Hierarchical Vision Granularity in MLLMs via Inverse Semantic Pyramid.

Yipeng Zhang, Yifan Liu, Zonghao Guo, Yidan Zhang, Xuesong Yang, Xiaoying Zhang, Chi Chen, Jun Song, Yuan Yao, Tat-Seng Chua, Maosong Sun

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

MM-UAVBench: How Well Do Multimodal Large Language Models See, Think, and Plan in Low-Altitude UAV Scenarios?

Shiqi Dai, Zizhi Ma, Zhicong Luo, Xuesong Yang, Yibin Huang, Wanyue Zhang, Chi Chen, Zonghao Guo, Wang Xu, Yufei Sun, Maosong Sun

CoRR, December, 2025

LLaVA-UHD v3: Progressive Visual Compression for Efficient Native-Resolution Encoding in MLLMs.

Shichu Sun, Yichen Zhang, Haolin Song, Zonghao Guo, Chi Chen, Yidan Zhang, Yuan Yao, Zhiyuan Liu, Maosong Sun

CoRR, November, 2025

VisRAG 2.0: Evidence-Guided Multi-Image Reasoning in Visual Retrieval-Augmented Generation.

Yubo Sun, Chunyi Peng, Yukun Yan, Shi Yu, Zhenghao Liu, Chi Chen, Zhiyuan Liu, Maosong Sun

CoRR, October, 2025

MiniCPM-V 4.5: Cooking Efficient MLLMs via Architecture, Data, and Training Recipe.

Tianyu Yu, Zefan Wang, Chongyi Wang, Fuwei Huang, Wenshuo Ma, Zhihui He, Tianchi Cai, Weize Chen, Yuxiang Huang, Yuanqian Zhao, Bokai Xu, Junbo Cui, Yingjing Xu, Liqing Ruan, Luoyuan Zhang, Hanyu Liu, Jingkun Tang, Hongyuan Liu, Qining Guo, Wenhao Hu, Bingxiang He, Jie Zhou, Jie Cai, Ji Qi, Zonghao Guo, Chi Chen, Guoyang Zeng, Yuxuan Li, Ganqu Cui, Ning Ding, Xu Han, Yuan Yao, Zhiyuan Liu, Maosong Sun

CoRR, September, 2025

MUSEG: Reinforcing Video Temporal Understanding via Timestamp-Aware Multi-Segment Grounding.

Fuwen Luo, Shengfeng Lou, Chi Chen, Ziyue Wang, Chenliang Li, Weizhou Shen, Jiyue Guo, Peng Li, Ming Yan, Ji Zhang, Fei Huang, Yang Liu

CoRR, May, 2025

DeepPerception: Advancing R1-like Cognitive Visual Perception in MLLMs for Knowledge-Intensive Visual Grounding.

Xinyu Ma, Ziyang Ding, Zhicong Luo, Chi Chen, Zonghao Guo, Derek F. Wong, Xiaoyi Feng, Maosong Sun

CoRR, March, 2025

Will Pre-Training Ever End? A First Step Toward Next-Generation Foundation MLLMs via Self-Improving Systematic Cognition.

Xiaoying Zhang, Da Peng, Yipeng Zhang, Zonghao Guo, Chengyue Wu, Chi Chen, Wei Ke, Helen Meng, Maosong Sun

CoRR, March, 2025

ChartCoder: Advancing Multimodal Large Language Model for Chart-to-Code Generation.

Xuanle Zhao, Xianzhen Luo, Qi Shi, Chi Chen, Shuo Wang, Wanxiang Che, Zhiyuan Liu, Maosong Sun

CoRR, January, 2025

CITR: Efficient Long Video Understanding Needs Causal Importance.

Ziqi Yuan, Jun Li, Yanghao Li, Yuxiang Huang, Chi Chen, Shuo Wang, Zhinan Gou

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Think in Safety: Unveiling and Mitigating Safety Alignment Collapse in Multimodal Large Reasoning Model.

Xinyue Lou, You Li, Jinan Xu, Xiangyu Shi, Chi Chen, Kaiyu Huang

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

AgentCPM-GUI: Building Mobile-Use Agents with Reinforcement Fine-Tuning.

Zhong Zhang, Yaxi Lu, Yikun Fu, Yupeng Huo, Shenzhi Yang, Yesai Wu, Han Si, Xin Cong, Haotian Chen, Yankai Lin, Jie Xie, Wei Zhou, Wang Xu, Yuanheng Zhang, Zhou Su, Zhongwu Zhai, Xiaoming Liu, Yudong Mei, Jianming Xu, Hongyan Tian, Chongyi Wang, Chi Chen, Yuan Yao, Zhiyuan Liu, Maosong Sun

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

AdaMMS: Model Merging for Heterogeneous Multimodal Large Language Models with Unsupervised Coefficient Optimization.

Yiyang Du, Xiaochen Wang, Chi Chen, Jiabo Ye, Yiru Wang, Peng Li, Ming Yan, Ji Zhang, Fei Huang, Zhifang Sui, Maosong Sun, Yang Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

ChartEdit: How Far Are MLLMs From Automating Chart Analysis? Evaluating MLLMs' Capability via Chart Editing.

Xuanle Zhao, Xuexin Liu, Haoyue Yang, Xianzhen Luo, Fanhu Zeng, Jianling Li, Qi Shi, Chi Chen

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

ChartCoder: Advancing Multimodal Large Language Model for Chart-to-Code Generation.

Xuanle Zhao, Xianzhen Luo, Qi Shi, Chi Chen, Shuo Wang, Zhiyuan Liu, Maosong Sun

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

Migician: Revealing the Magic of Free-Form Multi-Image Grounding in Multimodal Large Language Models.

You Li, Heyu Huang, Chi Chen, Kaiyu Huang, Chao Huang, Zonghao Guo, Zhiyuan Liu, Jinan Xu, Yuhua Li, Ruixuan Li, Maosong Sun

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

2024

Author Correction: Predicting equilibrium distributions for molecular systems with deep learning.

Shuxin Zheng, Jiyan He, Chang Liu, Yu Shi, Ziheng Lu, Weitao Feng, Fusong Ju, Jiaxi Wang, Jianwei Zhu, Yaosen Min, He Zhang, Shidi Tang, Hongxia Hao, Peiran Jin, Chi Chen, Frank Noé, Haiguang Liu, Tie-Yan Liu

Nat. Mac. Intell., 2024

Predicting equilibrium distributions for molecular systems with deep learning.

Shuxin Zheng, Jiyan He, Chang Liu, Yu Shi, Ziheng Lu, Weitao Feng, Fusong Ju, Jiaxi Wang, Jianwei Zhu, Yaosen Min, He Zhang, Shidi Tang, Hongxia Hao, Peiran Jin, Chi Chen, Frank Noé, Haiguang Liu, Tie-Yan Liu

Nat. Mac. Intell., 2024

LLaVA-UHD v2: an MLLM Integrating High-Resolution Feature Pyramid via Hierarchical Window Transformer.

Yipeng Zhang, Yifan Liu, Zonghao Guo, Yidan Zhang, Xuesong Yang, Chi Chen, Jun Song, Bo Zheng, Yuan Yao, Zhiyuan Liu, Tat-Seng Chua, Maosong Sun

CoRR, 2024

StreamingBench: Assessing the Gap for MLLMs to Achieve Streaming Video Understanding.

Junming Lin, Zheng Fang, Chi Chen, Zihao Wan, Fuwen Luo, Peng Li, Yang Liu, Maosong Sun

CoRR, 2024

ActiView: Evaluating Active Perception Ability for Multimodal Large Language Models.

Ziyue Wang, Chi Chen, Fuwen Luo, Yurui Dong, Yuanchi Zhang, Yuzhuang Xu, Xiaolong Wang, Peng Li, Yang Liu

CoRR, 2024

Browse and Concentrate: Comprehending Multimodal Content via Prior-LLM Context Fusion.

Ziyue Wang, Chi Chen, Yiqi Zhu, Fuwen Luo, Peng Li, Ming Yan, Ji Zhang, Fei Huang, Maosong Sun, Yang Liu

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

CODIS: Benchmarking Context-dependent Visual Comprehension for Multimodal Large Language Models.

Fuwen Luo, Chi Chen, Zihao Wan, Zhaolu Kang, Qidong Yan, Yingjie Li, Xiaolong Wang, Siyu Wang, Ziyue Wang, Xiaoyue Mi, Peng Li, Ning Ma, Maosong Sun, Yang Liu

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

Model Composition for Multimodal Large Language Models.

Chi Chen, Yiyang Du, Zheng Fang, Ziyue Wang, Fuwen Luo, Peng Li, Ming Yan, Ji Zhang, Fei Huang, Maosong Sun, Yang Liu

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

2023

Position-Enhanced Visual Instruction Tuning for Multimodal Large Language Models.

Chi Chen, Ruoyu Qin, Fuwen Luo, Xiaoyue Mi, Peng Li, Maosong Sun, Yang Liu

CoRR, 2023

Towards Predicting Equilibrium Distributions for Molecular Systems with Deep Learning.

Shuxin Zheng, Jiyan He, Chang Liu, Yu Shi, Ziheng Lu, Weitao Feng, Fusong Ju, Jiaxi Wang, Jianwei Zhu, Yaosen Min, He Zhang, Shidi Tang, Hongxia Hao, Peiran Jin, Chi Chen, Frank Noé, Haiguang Liu, Tie-Yan Liu

CoRR, 2023

Filling the Image Information Gap for VQA: Prompting Large Language Models to Proactively Ask Questions.

Ziyue Wang, Chi Chen, Peng Li, Yang Liu

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

Weakly Supervised Vision-and-Language Pre-training with Relative Representations.

Chi Chen, Peng Li, Maosong Sun, Yang Liu

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

EXTR: Click-Through Rate Prediction with Externalities in E-Commerce Sponsored Search.

Chi Chen, Hui Chen, Kangzhi Zhao, Junsheng Zhou, Li He, Hongbo Deng, Jian Xu, Bo Zheng, Yong Zhang, Chunxiao Xing

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

End-to-End Unsupervised Vision-and-Language Pre-training with Referring Expression Matching.

Chi Chen, Peng Li, Maosong Sun, Yang Liu

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Mask-Align: Self-Supervised Neural Word Alignment.

Chi Chen, Maosong Sun, Yang Liu

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2019

Investment Behaviors Can Tell What Inside: Exploring Stock Intrinsic Properties for Stock Trend Prediction.

Chi Chen, Li Zhao, Jiang Bian, Chunxiao Xing, Tie-Yan Liu

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2017

When Will a Repost Cascade Settle Down?

Chi Chen, Hongliang Tian, Jie Tang, Chunxiao Xing

Proceedings of the Web Information Systems Engineering - WISE 2017, 2017

A System for Recognizing Entities and Extracting Relations from Electronic Medical Records.

Chi Chen, Hongxia Liu, Chunxiao Xing

Proceedings of the 14th Web Information Systems and Applications Conference, 2017