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2020 – today
- 2026
[c12]Zijun Wang, Haoqin Tu, Yuhan Wang, Juncheng Wu, Yanqing Liu, Jieru Mei, Brian R. Bartoldson, Bhavya Kailkhura, Cihang Xie:
STAR-1: Safer Alignment of Reasoning LLMs with 1K Data. AAAI 2026: 37988-37997- [i43]Pei Yang, Wanyi Chen, Asuka Yuxi Zheng, Xueqian Li, Xiang Li, Haoqin Tu, Jie Xiao, Yifan Pang, Dongdong Zhang, Fuqiang Li, Alfred Long, Lynn Ai, Eric Yang, Bill Shi:
AOI: Turning Failed Trajectories into Training Signals for Autonomous Cloud Diagnosis. CoRR abs/2603.03378 (2026) - [i42]Jiawei Mao, Hardy Chen, Haoqin Tu, Yuhan Wang, Letian Zhang, Zeyu Zheng, Huaxiu Yao, Zirui Wang, Cihang Xie, Yuyin Zhou:
Kestrel: Grounding Self-Refinement for LVLM Hallucination Mitigation. CoRR abs/2603.16664 (2026) - [i41]Peng Xia, Jianwen Chen, Xinyu Yang, Haoqin Tu, Jiaqi Liu, Kaiwen Xiong, Siwei Han, Shi Qiu, Haonian Ji, Yuyin Zhou, Zeyu Zheng, Cihang Xie, Huaxiu Yao:
MetaClaw: Just Talk - An Agent That Meta-Learns and Evolves in the Wild. CoRR abs/2603.17187 (2026) - [i40]Jiaqi Liu, Zipeng Ling, Shi Qiu, Yanqing Liu, Siwei Han, Peng Xia, Haoqin Tu, Zeyu Zheng, Cihang Xie, Charles Fleming, Mingyu Ding, Huaxiu Yao:
Omni-SimpleMem: Autoresearch-Guided Discovery of Lifelong Multimodal Agent Memory. CoRR abs/2604.01007 (2026) - [i39]Zijun Wang, Haoqin Tu, Letian Zhang, Hardy Chen, Juncheng Wu, Xiangyan Liu, Zhenlong Yuan, Tianyu Pang, Michael Qizhe Shieh, Fengze Liu, Zeyu Zheng, Huaxiu Yao, Yuyin Zhou, Cihang Xie:
Your Agent, Their Asset: A Real-World Safety Analysis of OpenClaw. CoRR abs/2604.04759 (2026) - [i38]Zijun Wang, Haoqin Tu, Weidong Zhou, Yiyang Zhou, Xiaohuan Zhou, Bingni Zhang, Weiguo Feng, Taifeng Wang, Cihang Xie, Fengze Liu:
Target-Oriented Pretraining Data Selection via Neuron-Activated Graph. CoRR abs/2604.15706 (2026) - [i37]Hardy Chen, Nancy Lau, Haoqin Tu, Shuo Yan, Xiangyan Liu, Zijun Wang, Juncheng Wu, Michael Qizhe Shieh, Alvaro A. Cárdenas, Cihang Xie, Yuyin Zhou:
Chasing the Public Score: User Pressure and Evaluation Exploitation in Coding Agent Workflows. CoRR abs/2604.20200 (2026) - [i36]Qijun Han, Haoqin Tu, Zijun Wang, Haoyue Dai, Yiyang Zhou, Nancy Lau, Alvaro A. Cárdenas, Yuhui Xu, Ran Xu, Caiming Xiong, Zeyu Zheng, Huaxiu Yao, Yuyin Zhou, Cihang Xie:
VLAA-GUI: Knowing When to Stop, Recover, and Search, A Modular Framework for GUI Automation. CoRR abs/2604.21375 (2026) - [i35]Jiaqi Liu, Shi Qiu, Mairui Li, Bingzhou Li, Haonian Ji, Siwei Han, Xinyu Ye, Peng Xia, Zihan Dong, Meng Chen, Congyu Zhang, Letian Zhang, Guiming Chen, Haoqin Tu, Xinyu Yang, Lu Feng, Xujiang Zhao, Haifeng Chen, Jiawei Zhou, Xiao Wang, Weitong Zhang, Hongtu Zhu, Yun Li, Jieru Mei, Hongliang Fei, Jiaheng Zhang, Linjie Li, Linjun Zhang, Yuyin Zhou, Sheng Wang, Caiming Xiong, James Zou, Zeyu Zheng, Cihang Xie, Mingyu Ding, Huaxiu Yao:
AutoResearchClaw: Self-Reinforcing Autonomous Research with Human-AI Collaboration. CoRR abs/2605.20025 (2026) - [i34]Juncheng Wu, Letian Zhang, Yuhan Wang, Haoqin Tu, Hardy Chen, Zijun Wang, Cihang Xie, Yuyin Zhou:
ClinSeekAgent: Automating Multimodal Evidence Seeking for Agentic Clinical Reasoning. CoRR abs/2605.20176 (2026) - [i33]Juncheng Wu, Hardy Chen, Haoqin Tu, Xianfeng Tang, Freda Shi, Hui Liu, Hanqing Lu, Cihang Xie, Yuyin Zhou:
From Seeing to Thinking: Decoupling Perception and Reasoning Improves Post-Training of Vision-Language Models. CoRR abs/2605.20177 (2026) - [i32]Nicole Hsing, Asuka Yuxi Zheng, Yi Zhao, Haoqin Tu, Jen-tse Huang:
You Only Align Once: Propagating Cooperative Behaviors in Multi-Agent Systems through Seed Agents. CoRR abs/2605.27586 (2026) - [i31]Haoqin Tu, Jianwen Chen, Zijun Wang, Siwei Han, Juncheng Wu, Hardy Chen, Haonian Ji, Kaiwen Xiong, Jiaqi Liu, Peng Xia, Jieru Mei, Hongliang Fei, Jason Eshraghian, Zeyu Zheng, Yuyin Zhou, Huaxiu Yao, Cihang Xie:
VisualClaw: A Real-Time, Personalized Agent for the Physical World. CoRR abs/2606.16295 (2026) - 2025
- [j8]Hardy Chen, Haoqin Tu, Fali Wang, Hui Liu, Xianfeng Tang, Xinya Du, Yuyin Zhou, Cihang Xie:
SFT or RL? An Early Investigation into Training R1-Like Reasoning Large Vision-Language Models. Trans. Mach. Learn. Res. 2025 (2025) - [j7]Zijun Wang, Haoqin Tu, Jieru Mei, Bingchen Zhao, Yisen Wang, Cihang Xie:
AttnGCG: Enhancing Jailbreaking Attacks on LLMs with Attention Manipulation. Trans. Mach. Learn. Res. 2025 (2025) - [c11]Haoqin Tu, Weitao Feng, Hardy Chen, Hui Liu, Xianfeng Tang, Cihang Xie:
ViLBench: A Suite for Vision-Language Process Reward Modeling. EMNLP 2025: 6764-6779 - [c10]Yuqi Pang, Bowen Yang
, Haoqin Tu, Yun Cao, Zeyu Zhang:
Language Models Can See Better: Visual Contrastive Decoding For LLM Multimodal Reasoning. ICASSP 2025: 1-5 - [c9]Xianhang Li, Yanqing Liu, Haoqin Tu, Cihang Xie:
OpenVision: A Fully-Open, Cost-Effective Family of Advanced Vision Encoders for Multimodal Learning. ICCV 2025: 3977-3987 - [c8]Sucheng Ren, Xianhang Li, Haoqin Tu, Feng Wang, Fangxun Shu, Lei Zhang, Jieru Mei, Linjie Yang, Peng Wang, Heng Wang, Alan L. Yuille, Cihang Xie:
Autoregressive Pretraining with Mamba in Vision. ICLR 2025 - [c7]Xianhang Li, Haoqin Tu, Mude Hui, Zeyu Wang, Bingchen Zhao, Junfei Xiao, Sucheng Ren, Jieru Mei, Qing Liu, Huangjie Zheng, Yuyin Zhou, Cihang Xie:
What If We Recaption Billions of Web Images with LLaMA-3? ICML 2025 - [c6]Haonan Li, Xudong Han, Zenan Zhai, Honglin Mu, Hao Wang, Zhenxuan Zhang, Yilin Geng, Shom Lin, Renxi Wang, Artem Shelmanov, Xiangyu Qi, Yuxia Wang, Donghai Hong, Youliang Yuan, Meng Chen, Haoqin Tu, Fajri Koto, Cong Zeng, Tatsuki Kuribayashi, Rishabh Bhardwaj, Bingchen Zhao, Yawen Duan, Yi Liu, Emad A. Alghamdi, Yaodong Yang, Yinpeng Dong, Soujanya Poria, Pengfei Liu, Zhengzhong Liu, Xuguang Ren, Eduard H. Hovy, Iryna Gurevych, Preslav Nakov, Monojit Choudhury, Timothy Baldwin:
Libra-Leaderboard: Towards Responsible AI through a Balanced Leaderboard of Safety and Capability. NAACL (System Demonstrations) 2025: 268-286 - [i30]Yuqi Pang, Bowen Yang, Haoqin Tu, Yun Cao, Zeyu Zhang:
Language Models Can See Better: Visual Contrastive Decoding For LLM Multimodal Reasoning. CoRR abs/2502.11751 (2025) - [i29]Haoqin Tu, Weitao Feng, Hardy Chen, Hui Liu, Xianfeng Tang, Cihang Xie:
ViLBench: A Suite for Vision-Language Process Reward Modeling. CoRR abs/2503.20271 (2025) - [i28]Zijun Wang, Haoqin Tu, Yuhan Wang, Juncheng Wu, Jieru Mei, Brian R. Bartoldson, Bhavya Kailkhura, Cihang Xie:
STAR-1: Safer Alignment of Reasoning LLMs with 1K Data. CoRR abs/2504.01903 (2025) - [i27]Hardy Chen, Haoqin Tu, Fali Wang, Hui Liu, Xianfeng Tang, Xinya Du, Yuyin Zhou, Cihang Xie:
SFT or RL? An Early Investigation into Training R1-Like Reasoning Large Vision-Language Models. CoRR abs/2504.11468 (2025) - [i26]Xianhang Li, Yanqing Liu, Haoqin Tu, Hongru Zhu, Cihang Xie:
OpenVision: A Fully-Open, Cost-Effective Family of Advanced Vision Encoders for Multimodal Learning. CoRR abs/2505.04601 (2025) - [i25]Juncheng Wu, Sheng Liu, Haoqin Tu, Hang Yu, Xiaoke Huang, James Y. Zou, Cihang Xie, Yuyin Zhou:
Knowledge or Reasoning? A Close Look at How LLMs Think Across Domains. CoRR abs/2506.02126 (2025) - [i24]Tony Lee, Haoqin Tu, Chi Heem Wong, Zijun Wang, Siwei Yang, Yifan Mai, Yuyin Zhou, Cihang Xie, Percy Liang:
AHELM: A Holistic Evaluation of Audio-Language Models. CoRR abs/2508.21376 (2025) - [i23]Luis Burbano, Diego Ortiz Barbosa, Qi Sun, Siwei Yang, Haoqin Tu, Cihang Xie, Yinzhi Cao, Alvaro A. Cárdenas:
CHAI: Command Hijacking against embodied AI. CoRR abs/2510.00181 (2025) - [i22]Zhaofang Qian, Hardy Chen, Zeyu Wang, Li Zhang, Zijun Wang, Xiaoke Huang, Hui Liu, Xianfeng Tang, Zeyu Zheng, Haoqin Tu, Cihang Xie, Yuyin Zhou:
Where on Earth? A Vision-Language Benchmark for Probing Model Geolocation Skills Across Scales. CoRR abs/2510.10880 (2025) - [i21]Yiyang Zhou, Haoqin Tu, Zijun Wang, Zeyu Wang, Niklas Muennighoff, Fan Nie, Yejin Choi, James Zou, Chaorui Deng, Shen Yan, Haoqi Fan, Cihang Xie, Huaxiu Yao, Qinghao Ye:
When Visualizing is the First Step to Reasoning: MIRA, a Benchmark for Visual Chain-of-Thought. CoRR abs/2511.02779 (2025) - [i20]Hunar Batra, Haoqin Tu, Hardy Chen, Yuanze Lin, Cihang Xie, Ronald Clark:
SpatialThinker: Reinforcing 3D Reasoning in Multimodal LLMs via Spatial Rewards. CoRR abs/2511.07403 (2025) - 2024
- [j6]Tao Feng, Chuanyang Jin, Jingyu Liu, Kunlun Zhu, Haoqin Tu, Zirui Cheng, Guanyu Lin, Jiaxuan You:
How Far Are We From AGI: Are LLMs All We Need? Trans. Mach. Learn. Res. 2024 (2024) - [j5]Haoqin Tu, Bingchen Zhao, Chen Wei, Cihang Xie:
Sight Beyond Text: Multi-Modal Training Enhances LLMs in Truthfulness and Ethics. Trans. Mach. Learn. Res. 2024 (2024) - [j4]Haoqin Tu, Zhongliang Yang, Jinshuai Yang, Linna Zhou, Yongfeng Huang:
FET-LM: Flow-Enhanced Variational Autoencoder for Topic-Guided Language Modeling. IEEE Trans. Neural Networks Learn. Syst. 35(8): 11180-11193 (2024) - [c5]Haoqin Tu, Chenhang Cui, Zijun Wang, Yiyang Zhou, Bingchen Zhao, Junlin Han, Wangchunshu Zhou, Huaxiu Yao, Cihang Xie:
How Many Are in This Image A Safety Evaluation Benchmark for Vision LLMs. ECCV (51) 2024: 37-55 - [c4]Bingchen Zhao, Haoqin Tu, Chen Wei, Jieru Mei, Cihang Xie:
Tuning LayerNorm in Attention: Towards Efficient Multi-Modal LLM Finetuning. ICLR 2024 - [c3]Tony Lee, Haoqin Tu, Chi Heem Wong, Wenhao Zheng, Yiyang Zhou, Yifan Mai, Josselin Somerville Roberts, Michihiro Yasunaga, Huaxiu Yao, Cihang Xie, Percy Liang:
VHELM: A Holistic Evaluation of Vision Language Models. NeurIPS 2024 - [i19]Bo Peng, Daniel Goldstein, Quentin Anthony, Alon Albalak, Eric Alcaide, Stella Biderman, Eugene Cheah, Xingjian Du, Teddy Ferdinan, Haowen Hou, Przemyslaw Kazienko, Kranthi Kiran GV, Jan Kocon, Bartlomiej Koptyra, Satyapriya Krishna, Ronald McClelland Jr., Niklas Muennighoff, Fares Obeid, Atsushi Saito, Guangyu Song, Haoqin Tu, Stanislaw Wozniak, Ruichong Zhang, Bingchen Zhao, Qihang Zhao, Peng Zhou, Jian Zhu, Rui-Jie Zhu:
Eagle and Finch: RWKV with Matrix-Valued States and Dynamic Recurrence. CoRR abs/2404.05892 (2024) - [i18]Tao Feng, Chuanyang Jin, Jingyu Liu, Kunlun Zhu, Haoqin Tu, Zirui Cheng, Guanyu Lin, Jiaxuan You:
How Far Are We From AGI. CoRR abs/2405.10313 (2024) - [i17]Sucheng Ren, Xianhang Li, Haoqin Tu, Feng Wang, Fangxun Shu, Lei Zhang, Jieru Mei, Linjie Yang, Peng Wang, Heng Wang, Alan L. Yuille, Cihang Xie:
Autoregressive Pretraining with Mamba in Vision. CoRR abs/2406.07537 (2024) - [i16]Xianhang Li, Haoqin Tu, Mude Hui, Zeyu Wang, Bingchen Zhao, Junfei Xiao, Sucheng Ren, Jieru Mei, Qing Liu, Huangjie Zheng, Yuyin Zhou, Cihang Xie:
What If We Recaption Billions of Web Images with LLaMA-3? CoRR abs/2406.08478 (2024) - [i15]Zhaorun Chen, Yichao Du, Zichen Wen, Yiyang Zhou, Chenhang Cui, Zhenzhen Weng, Haoqin Tu, Chaoqi Wang, Zhengwei Tong, Qinglan Huang, Canyu Chen, Qinghao Ye, Zhihong Zhu, Yuqing Zhang, Jiawei Zhou, Zhuokai Zhao, Rafael Rafailov, Chelsea Finn, Huaxiu Yao:
MJ-Bench: Is Your Multimodal Reward Model Really a Good Judge for Text-to-Image Generation? CoRR abs/2407.04842 (2024) - [i14]Yunfei Xie, Juncheng Wu, Haoqin Tu, Siwei Yang, Bingchen Zhao, Yongshuo Zong, Qiao Jin, Cihang Xie, Yuyin Zhou:
A Preliminary Study of o1 in Medicine: Are We Closer to an AI Doctor? CoRR abs/2409.15277 (2024) - [i13]Yusheng Zheng, Yiwei Yang, Haoqin Tu, Yuxi Huang:
Code-Survey: An LLM-Driven Methodology for Analyzing Large-Scale Codebases. CoRR abs/2410.01837 (2024) - [i12]Tony Lee, Haoqin Tu, Chi Heem Wong, Wenhao Zheng, Yiyang Zhou, Yifan Mai, Josselin Somerville Roberts, Michihiro Yasunaga, Huaxiu Yao, Cihang Xie, Percy Liang:
VHELM: A Holistic Evaluation of Vision Language Models. CoRR abs/2410.07112 (2024) - [i11]Zijun Wang, Haoqin Tu, Jieru Mei, Bingchen Zhao, Yisen Wang, Cihang Xie:
AttnGCG: Enhancing Jailbreaking Attacks on LLMs with Attention Manipulation. CoRR abs/2410.09040 (2024) - [i10]Haonan Li, Xudong Han, Zenan Zhai, Honglin Mu, Hao Wang, Zhenxuan Zhang, Yilin Geng, Shom Lin, Renxi Wang, Artem Shelmanov, Xiangyu Qi, Yuxia Wang, Donghai Hong, Youliang Yuan, Meng Chen, Haoqin Tu, Fajri Koto, Tatsuki Kuribayashi, Cong Zeng, Rishabh Bhardwaj, Bingchen Zhao, Yawen Duan, Yi Liu, Emad A. Alghamdi, Yaodong Yang, Yinpeng Dong, Soujanya Poria, Pengfei Liu, Zhengzhong Liu, Xuguang Ren, Eduard H. Hovy, Iryna Gurevych, Preslav Nakov, Monojit Choudhury, Timothy Baldwin:
Libra-Leaderboard: Towards Responsible AI through a Balanced Leaderboard of Safety and Capability. CoRR abs/2412.18551 (2024) - 2023
- [j3]Jinshuai Yang, Zhongliang Yang, Jiajun Zou, Haoqin Tu, Yongfeng Huang:
Linguistic Steganalysis Toward Social Network. IEEE Trans. Inf. Forensics Secur. 18: 859-871 (2023) - [c2]Haoqin Tu, Yitong Li, Fei Mi, Zhongliang Yang:
ReSee: Responding through Seeing Fine-grained Visual Knowledge in Open-domain Dialogue. EMNLP 2023: 7720-7735 - [c1]Haoqin Tu, Bowen Yang, Xianfeng Zhao:
ZeroGen: Zero-Shot Multimodal Controllable Text Generation with Multiple Oracles. NLPCC (2) 2023: 494-506 - [i9]Haoqin Tu, Yitong Li, Fei Mi, Zhongliang Yang:
ReSee: Responding through Seeing Fine-grained Visual Knowledge in Open-domain Dialogue. CoRR abs/2305.13602 (2023) - [i8]Haoqin Tu, Bowen Yang, Xianfeng Zhao:
ZeroGen: Zero-shot Multimodal Controllable Text Generation with Multiple Oracles. CoRR abs/2306.16649 (2023) - [i7]Haoqin Tu, Bingchen Zhao, Chen Wei, Cihang Xie:
Sight Beyond Text: Multi-Modal Training Enhances LLMs in Truthfulness and Ethics. CoRR abs/2309.07120 (2023) - [i6]Haoqin Tu, Chenhang Cui, Zijun Wang, Yiyang Zhou, Bingchen Zhao, Junlin Han, Wangchunshu Zhou, Huaxiu Yao, Cihang Xie:
How Many Unicorns Are in This Image? A Safety Evaluation Benchmark for Vision LLMs. CoRR abs/2311.16101 (2023) - [i5]Bingchen Zhao, Haoqin Tu, Chen Wei, Jieru Mei, Cihang Xie:
Tuning LayerNorm in Attention: Towards Efficient Multi-Modal LLM Finetuning. CoRR abs/2312.11420 (2023) - 2022
- [j2]Haoqin Tu, Zhongliang Yang, Jinshuai Yang, Si-yu Zhang, Yongfeng Huang:
PCAE: A framework of plug-in conditional auto-encoder for controllable text generation. Knowl. Based Syst. 256: 109766 (2022) - [j1]Jinshuai Yang, Zhongliang Yang, Si-yu Zhang, Haoqin Tu, Yongfeng Huang:
SeSy: Linguistic Steganalysis Framework Integrating Semantic and Syntactic Features. IEEE Signal Process. Lett. 29: 31-35 (2022) - [i4]Haoqin Tu, Zhongliang Yang, Jinshuai Yang, Si-yu Zhang, Yongfeng Huang:
AdaVAE: Exploring Adaptive GPT-2s in Variational Auto-Encoders for Language Modeling. CoRR abs/2205.05862 (2022) - [i3]Haoqin Tu, Zhongliang Yang, Jinshuai Yang, Si-yu Zhang, Yongfeng Huang:
PCAE: A Framework of Plug-in Conditional Auto-Encoder for Controllable Text Generation. CoRR abs/2210.03496 (2022) - [i2]Haoqin Tu, Yitong Li:
An Overview on Controllable Text Generation via Variational Auto-Encoders. CoRR abs/2211.07954 (2022) - 2021
- [i1]Si-yu Zhang, Zhongliang Yang, Haoqin Tu, Jinshuai Yang, Yongfeng Huang:
Pixel-Stega: Generative Image Steganography Based on Autoregressive Models. CoRR abs/2112.10945 (2021)
Coauthor Index
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