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 001; Maosong Sun 001 (EMNLP, 2022)

Textual Backdoor Attacks Can Be More Harmful via Two Simple Tricks. - Yangyi Chen; Fanchao Qi; Hongcheng Gao; Zhiyuan Liu 001; Maosong Sun 001 (EMNLP, 2022)

Exploring the Universal Vulnerability of Prompt-based Learning Paradigm. - Lei Xu 040; Yangyi Chen; Ganqu Cui; Hongcheng Gao; Zhiyuan Liu 001 (NAACL-HLT (Findings), 2022)

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 001; Zhiyuan Liu 001; Maosong Sun 001; et al. (ACL (Findings), 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 001; Zhiyuan Liu 001; Maosong Sun 001 (NeurIPS, 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 001; Zhiyuan Liu 001; Maosong Sun 001 (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)

Generative Pretraining in Multimodality. - Quan Sun; Qiying Yu; Yufeng Cui; Fan Zhang; Xiaosong Zhang; Yueze Wang; Hongcheng Gao; Jingjing Liu; Tiejun Huang 003; Xinlong Wang (CoRR, 2023)

Efficient Detection of LLM-generated Texts with a Bayesian Surrogate Model. - Yibo Miao; Hongcheng Gao; Hao Zhang; Zhijie Deng (ACL (Findings), 2024)

Adaptive Token Biaser: Knowledge Editing via Biasing Key Entities. - Baolong Bi; Shenghua Liu; Yiwei Wang 001; Lingrui Mei; Hongcheng Gao; Yilong Xu; Xueqi Cheng (EMNLP (Findings), 2024)

AdaMoE: Token-Adaptive Routing with Null Experts for Mixture-of-Experts Language Models. - Zihao Zeng; Yibo Miao; Hongcheng Gao; Hao Zhang 025; Zhijie Deng (EMNLP (Findings), 2024)

Emu: Generative Pretraining in Multimodality. - Quan Sun; Qiying Yu; Yufeng Cui; Fan Zhang; Xiaosong Zhang; Yueze Wang; Hongcheng Gao; Jingjing Liu; Tiejun Huang 003; Xinlong Wang (ICLR, 2024)

Universal Prompt Optimizer for Safe Text-to-Image Generation. - Zongyu Wu 001; Hongcheng Gao; Yueze Wang; Xiang Zhang 001; Suhang Wang (NAACL-HLT, 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; et al. (NeurIPS, 2024)

Token Merging for Training-Free Semantic Binding in Text-to-Image Synthesis. - Taihang Hu; Linxuan Li; Joost van de Weijer 001; Hongcheng Gao; Fahad Shahbaz Khan; Jian Yang 003; Ming-Ming Cheng; Kai Wang 060; Yaxing Wang (NeurIPS, 2024)

Leveraging Catastrophic Forgetting to Develop Safe Diffusion Models against Malicious Finetuning. - Jiadong Pan; Hongcheng Gao; Zongyu Wu 001; Taihang Hu; Li Su 003; Qingming Huang; Liang Li 003 (NeurIPS, 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)

StruEdit: Structured Outputs Enable the Fast and Accurate Knowledge Editing for Large Language Models. - Baolong Bi; Shenghua Liu; Yiwei Wang 001; Lingrui Mei; Hongcheng Gao; Junfeng Fang; Xueqi Cheng (CoRR, 2024)

Meta-Unlearning on Diffusion Models: Preventing Relearning Unlearned Concepts. - Hongcheng Gao; Tianyu Pang; Chao Du; Taihang Hu; Zhijie Deng; Min Lin (CoRR, 2024)

SafeCFG: Redirecting Harmful Classifier-Free Guidance for Safe Generation. - Jiadong Pan; Hongcheng Gao; Liang Li 003; Zheng-Jun Zha; Qingming Huang; Jiebo Luo 001 (CoRR, 2024)

Is Factuality Enhancement a Free Lunch For LLMs? Better Factuality Can Lead to Worse Context-Faithfulness. - Baolong Bi; Shenghua Liu; Yiwei Wang 001; Lingrui Mei; Junfeng Fang; Hongcheng Gao; Shiyu Ni; Xueqi Cheng (ICLR, 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; et al. (ICLR, 2025)

Kimi k1.5: Scaling Reinforcement Learning with LLMs. - Kimi Team; Angang Du; Bofei Gao; Bowei Xing; Changjiu Jiang; Cheng Chen; Cheng Li; Chenjun Xiao; Chenzhuang Du; Chonghua Liao; Chuning Tang; Congcong Wang; et al. (CoRR, 2025)

GuardReasoner: Towards Reasoning-based LLM Safeguards. - Yue Liu 008; Hongcheng Gao; Shengfang Zhai; Jun Xia 001; Tianyi Wu; Zhiwei Xue; Yulin Chen; Kenji Kawaguchi; Jiaheng Zhang; Bryan Hooi (CoRR, 2025)

LanP: Rethinking the Impact of Language Priors in Large Vision-Language Models. - Zongyu Wu 001; Yuwei Niu; Hongcheng Gao; Minhua Lin; Zhiwei Zhang; Zhifang Zhang; Qi Shi; Yilong Wang 001; Sike Fu; Junjie Xu; Junjie Ao; Enyan Dai; et al. (CoRR, 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 003; Qingming Huang (CoRR, 2025)

Efficient Inference for Large Reasoning Models: A Survey. - Yue Liu 008; Jiaying Wu; Yufei He; Hongcheng Gao; Hongyu Chen; Baolong Bi; Jiaheng Zhang; Zhiqi Huang; Bryan Hooi (CoRR, 2025)

Kimi-VL Technical Report. - Angang Du; Bohong Yin; Bowei Xing; Bowen Qu; Bowen Wang; Cheng Chen; Chenlin Zhang; Chenzhuang Du; Chu Wei; Congcong Wang; Dehao Zhang; Dikang Du; et al. (CoRR, 2025)

FlowReasoner: Reinforcing Query-Level Meta-Agents. - Hongcheng Gao; Yue Liu 008; Yufei He; Longxu Dou; Chao Du; Zhijie Deng; Bryan Hooi; Min Lin; Tianyu Pang (CoRR, 2025)

GuardReasoner-VL: Safeguarding VLMs via Reinforced Reasoning. - Yue Liu 008; Shengfang Zhai; Mingzhe Du; Yulin Chen; Tri Cao; Hongcheng Gao; Cheng Wang; Xinfeng Li; Kun Wang 056; Junfeng Fang; Jiaheng Zhang; Bryan Hooi (CoRR, 2025)

G1: Bootstrapping Perception and Reasoning Abilities of Vision-Language Model via Reinforcement Learning. - Liang Chen 024; Hongcheng Gao; Tianyu Liu 001; Zhiqi Huang; Flood Sung; Xinyu Zhou; Yuxin Wu; Baobao Chang (CoRR, 2025)

ExtendAttack: Attacking Servers of LRMs via Extending Reasoning. - Zhenhao Zhu; Yue Liu 008; Yingwei Ma; Hongcheng Gao; Nuo Chen; Yanpei Guo; Wenjie Qu 001; Huiying Xu; Xinzhong Zhu; Jiaheng Zhang (CoRR, 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 003; Ming-Ming Cheng; Xiang Li 041 (CoRR, 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; et al. (CoRR, 2025)

Kimi K2: Open Agentic Intelligence. - Yifan Bai; Yiping Bao; Guanduo Chen; Jiahao Chen; Ningxin Chen; Ruijue Chen; Yanru Chen; Yuankun Chen; Yutian Chen; Zhuofu Chen; Jialei Cui; Hao Ding; et al. (CoRR, 2025)