Hongcheng Gao

According to our database, Hongcheng Gao authored at least 38 papers between 2022 and 2026.

Collaborative distances:

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

2026

OpenWorldLib: A Unified Codebase and Definition of Advanced World Models.

DataFlow Team, Bohan Zeng, Daili Hua, Kaixin Zhu, Yifan Dai, Bozhou Li, Yuran Wang, Chengzhuo Tong, Yifan Yang, Mingkun Chang, Jianbin Zhao, Zhou Liu, Hao Liang, Xiaochen Ma, Ruichuan An, Junbo Niu, Zimo Meng, Tianyi Bai, Meiyi Qiang, Huanyao Zhang, Zhiyou Xiao, Tianyu Guo, Qinhan Yu, Runhao Zhao, Zhengpin Li, Xinyi Huang, Yisheng Pan, Yiwen Tang, Yang Shi, Yue Ding, Xinlong Chen, Hongcheng Gao, Minglei Shi, Jialong Wu, Zekun Wang, Yuanxing Zhang, Xintao Wang, Pengfei Wan, Yiren Song, Mike Zheng Shou, Wentao Zhang

CoRR, April, 2026

MedScope: Incentivizing "Think with Videos" for Clinical Reasoning via Coarse-to-Fine Tool Calling.

Wenjie Li, Yujie Zhang, Haoran Sun, Xingqi He, Hongcheng Gao, Chenglong Ma, Ming Hu, Guankun Wang, Shiyi Yao, Renhao Yang, Hongliang Ren, Lei Wang, Junjun He, Yankai Jiang

CoRR, February, 2026

Research on World Models Is Not Merely Injecting World Knowledge into Specific Tasks.

Bohan Zeng, Kaixin Zhu, Daili Hua, Bozhou Li, Chengzhuo Tong, Yuran Wang, Xinyi Huang, Yifan Dai, Zixiang Zhang, Yifan Yang, Zhou Liu, Hao Liang, Xiaochen Ma, Ruichuan An, Tianyi Bai, Hongcheng Gao, Junbo Niu, Yang Shi, Xinlong Chen, Yue Ding, Minglei Shi, Kai Zeng, Yiwen Tang, Yuanxing Zhang, Pengfei Wan, Xintao Wang, Wentao Zhang

CoRR, February, 2026

How Far Are LLMs from Professional Poker Players? Revisiting Game-Theoretic Reasoning with Agentic Tool Use.

Minhua Lin, Enyan Dai, Hui Liu, Xianfeng Tang, Yuliang Yan, Zhenwei Dai, Jingying Zeng, Zhiwei Zhang, Fali Wang, Hongcheng Gao, Chen Luo, Xiang Zhang, Qi He, Suhang Wang

CoRR, February, 2026

ExtendAttack: Attacking Servers of LRMs via Extending Reasoning.

Zhenhao Zhu, Yue Liu, Zhiwei Xu, Yingwei Ma, Hongcheng Gao, Nuo Chen, Yanpei Guo, Wenjie Qu, Huiying Xu, Zifeng Kang, Xinzhong Zhu, Jiaheng Zhang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Pixels, Patterns, but No Poetry: To See The World like Humans.

Hongcheng Gao, Zihao Huang, Lin Xu, Jingyi Tang, Xinhao Li, Yue Liu, Haoyang Li, Taihang Hu, Minhua Lin, Xinlong Yang, Ge Wu, Balong Bi, Hongyu Chen, Wentao Zhang

CoRR, July, 2025

Representation Entanglement for Generation:Training Diffusion Transformers Is Much Easier Than You Think.

Ge Wu, Shen Zhang, Ruijing Shi, Shanghua Gao, Zhenyuan Chen, Lei Wang, Zhaowei Chen, Hongcheng Gao, Yao Tang, Jian Yang, Ming-Ming Cheng, Xiang Li

CoRR, July, 2025

ExtendAttack: Attacking Servers of LRMs via Extending Reasoning.

Zhenhao Zhu, Yue Liu, Yingwei Ma, Hongcheng Gao, Nuo Chen, Yanpei Guo, Wenjie Qu, Huiying Xu, Xinzhong Zhu, Jiaheng Zhang

CoRR, June, 2025

G1: Bootstrapping Perception and Reasoning Abilities of Vision-Language Model via Reinforcement Learning.

Liang Chen, Hongcheng Gao, Tianyu Liu, Zhiqi Huang, Flood Sung, Xinyu Zhou, Yuxin Wu, Baobao Chang

CoRR, May, 2025

GuardReasoner-VL: Safeguarding VLMs via Reinforced Reasoning.

Yue Liu, Shengfang Zhai, Mingzhe Du, Yulin Chen, Tri Cao, Hongcheng Gao, Cheng Wang, Xinfeng Li, Kun Wang, Junfeng Fang, Jiaheng Zhang, Bryan Hooi

CoRR, May, 2025

FlowReasoner: Reinforcing Query-Level Meta-Agents.

Hongcheng Gao, Yue Liu, Yufei He, Longxu Dou, Chao Du, Zhijie Deng, Bryan Hooi, Min Lin, Tianyu Pang

CoRR, April, 2025

Efficient Inference for Large Reasoning Models: A Survey.

Yue Liu, Jiaying Wu, Yufei He, Hongcheng Gao, Hongyu Chen, Baolong Bi, Jiaheng Zhang, Zhiqi Huang, Bryan Hooi

CoRR, March, 2025

Exploring Hallucination of Large Multimodal Models in Video Understanding: Benchmark, Analysis and Mitigation.

Hongcheng Gao, Jiashu Qu, Jingyi Tang, Baolong Bi, Yue Liu, Hongyu Chen, Li Liang, Li Su, Qingming Huang

CoRR, March, 2025

LanP: Rethinking the Impact of Language Priors in Large Vision-Language Models.

Zongyu Wu, Yuwei Niu, Hongcheng Gao, Minhua Lin, Zhiwei Zhang, Zhifang Zhang, Qi Shi, Yilong Wang, Sike Fu, Junjie Xu, Junjie Ao, Enyan Dai, Lei Feng, Xiang Zhang, Suhang Wang

CoRR, February, 2025

GuardReasoner: Towards Reasoning-based LLM Safeguards.

Yue Liu, Hongcheng Gao, Shengfang Zhai, Jun Xia, Tianyi Wu, Zhiwei Xue, Yulin Chen, Kenji Kawaguchi, Jiaheng Zhang, Bryan Hooi

CoRR, January, 2025

SafeCFG: Controlling Harmful Features with Dynamic Safe Guidance for Safe Generation.

Jiadong Pan, Liang Li, Hongcheng Gao, Zheng-Jun Zha, Qingming Huang, Jiebo Luo

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

Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows.

Fangyu Lei, Jixuan Chen, Yuxiao Ye, Ruisheng Cao, Dongchan Shin, Hongjin Su, Zhaoqing Suo, Hongcheng Gao, Wenjing Hu, Pengcheng Yin, Victor Zhong, Caiming Xiong, Ruoxi Sun, Qian Liu, Sida Wang, Tao Yu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Is Factuality Enhancement a Free Lunch For LLMs? Better Factuality Can Lead to Worse Context-Faithfulness.

Baolong Bi, Shenghua Liu, Yiwei Wang, Lingrui Mei, Junfeng Fang, Hongcheng Gao, Shiyu Ni, Xueqi Cheng

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Meta-Unlearning on Diffusion Models: Preventing Relearning Unlearned Concepts.

Hongcheng Gao, Tianyu Pang, Chao Du, Taihang Hu, Zhijie Deng, Min Lin

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

2024

SafeCFG: Redirecting Harmful Classifier-Free Guidance for Safe Generation.

Jiadong Pan, Hongcheng Gao, Liang Li, Zheng-Jun Zha, Qingming Huang, Jiebo Luo

CoRR, 2024

StruEdit: Structured Outputs Enable the Fast and Accurate Knowledge Editing for Large Language Models.

Baolong Bi, Shenghua Liu, Yiwei Wang, Lingrui Mei, Hongcheng Gao, Junfeng Fang, Xueqi Cheng

CoRR, 2024

AdaMoE: Token-Adaptive Routing with Null Experts for Mixture-of-Experts Language Models.

Zihao Zeng, Yibo Miao, Hongcheng Gao, Hao Zhang, Zhijie Deng

CoRR, 2024

Leveraging Catastrophic Forgetting to Develop Safe Diffusion Models against Malicious Finetuning.

Jiadong Pan, Hongcheng Gao, Zongyu Wu, Taihang Hu, Li Su, Qingming Huang, Liang Li

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

Token Merging for Training-Free Semantic Binding in Text-to-Image Synthesis.

Taihang Hu, Linxuan Li, Joost van de Weijer, Hongcheng Gao, Fahad Shahbaz Khan, Jian Yang, Ming-Ming Cheng, Kai Wang, Yaxing Wang

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

Spider2-V: How Far Are Multimodal Agents From Automating Data Science and Engineering Workflows?

Ruisheng Cao, Fangyu Lei, Haoyuan Wu, Jixuan Chen, Yeqiao Fu, Hongcheng Gao, Xinzhuang Xiong, Hanchong Zhang, Wenjing Hu, Yuchen Mao, Tianbao Xie, Hongshen Xu, Danyang Zhang, Sida I. Wang, Ruoxi Sun, Pengcheng Yin, Caiming Xiong, Ansong Ni, Qian Liu, Victor Zhong, Lu Chen, Kai Yu, Tao Yu

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

Universal Prompt Optimizer for Safe Text-to-Image Generation.

Zongyu Wu, Hongcheng Gao, Yueze Wang, Xiang Zhang, Suhang Wang

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

Emu: Generative Pretraining in Multimodality.

Quan Sun, Qiying Yu, Yufeng Cui, Fan Zhang, Xiaosong Zhang, Yueze Wang, Hongcheng Gao, Jingjing Liu, Tiejun Huang, Xinlong Wang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

AdaMoE: Token-Adaptive Routing with Null Experts for Mixture-of-Experts Language Models.

Zihao Zeng, Yibo Miao, Hongcheng Gao, Hao Zhang, Zhijie Deng

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

Adaptive Token Biaser: Knowledge Editing via Biasing Key Entities.

Baolong Bi, Shenghua Liu, Yiwei Wang, Lingrui Mei, Hongcheng Gao, Yilong Xu, Xueqi Cheng

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

Efficient Detection of LLM-generated Texts with a Bayesian Surrogate Model.

Yibo Miao, Hongcheng Gao, Hao Zhang, Zhijie Deng

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

2023

Generative Pretraining in Multimodality.

Quan Sun, Qiying Yu, Yufeng Cui, Fan Zhang, Xiaosong Zhang, Yueze Wang, Hongcheng Gao, Jingjing Liu, Tiejun Huang, Xinlong Wang

CoRR, 2023

Evaluating the Robustness of Text-to-image Diffusion Models against Real-world Attacks.

Hongcheng Gao, Hao Zhang, Yinpeng Dong, Zhijie Deng

CoRR, 2023

Revisiting Out-of-distribution Robustness in NLP: Benchmark, Analysis, and LLMs Evaluations.

Lifan Yuan, Yangyi Chen, Ganqu Cui, Hongcheng Gao, Fangyuan Zou, Xingyi Cheng, Heng Ji, Zhiyuan Liu, Maosong Sun

CoRR, 2023

Revisiting Out-of-distribution Robustness in NLP: Benchmarks, Analysis, and LLMs Evaluations.

Lifan Yuan, Yangyi Chen, Ganqu Cui, Hongcheng Gao, Fangyuan Zou, Xingyi Cheng, Heng Ji, Zhiyuan Liu, Maosong Sun

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

From Adversarial Arms Race to Model-centric Evaluation: Motivating a Unified Automatic Robustness Evaluation Framework.

Yangyi Chen, Hongcheng Gao, Ganqu Cui, Lifan Yuan, Dehan Kong, Hanlu Wu, Ning Shi, Bo Yuan, Longtao Huang, Hui Xue, Zhiyuan Liu, Maosong Sun, Heng Ji

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

2022

Exploring the Universal Vulnerability of Prompt-based Learning Paradigm.

Lei Xu, Yangyi Chen, Ganqu Cui, Hongcheng Gao, Zhiyuan Liu

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Textual Backdoor Attacks Can Be More Harmful via Two Simple Tricks.

Yangyi Chen, Fanchao Qi, Hongcheng Gao, Zhiyuan Liu, Maosong Sun

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

Why Should Adversarial Perturbations be Imperceptible? Rethink the Research Paradigm in Adversarial NLP.

Yangyi Chen, Hongcheng Gao, Ganqu Cui, Fanchao Qi, Longtao Huang, Zhiyuan Liu, Maosong Sun

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