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ORCIDBowen Zhou 0002
Person information
- affiliation: Tsinghua University, Department of Electronic Engineering, Beijing, China
- affiliation: Shanghai Artificial Intelligence Laboratory, China
Other persons with the same name
- Bowen Zhou — disambiguation page
- Bowen Zhou 0001 — JD AI Research, Beijing, China
- Bowen Zhou 0003
![[0000-0002-7400-6603]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-7400-6603")
— Northeastern University, Shenyang, Liaoning, China - Bowen Zhou 0004 — Harbin Engineering University, Harbin, China
- Bowen Zhou 0005 — OMNIVISION
- Bowen Zhou 0006 — IBM Watson Group, T. J. Watson Research Center, Yorktown Heights, NY, USA
- Bowen Zhou 0007 — University of Melbourne, Cloud Computing and Distributed Systems (CLOUDS), Parkville, Victoria, Australia
- Bowen Zhou 0008 — LinkedIn (and 1 more)
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2020 – today
- 2025
[j9]Peng Xu, Song Bai, Bowen Zhou, David A. Clifton, Andrea Vedaldi, Mihaela van der Schaar, Luc Van Gool:
Guest Editorial: Introduction to the Special Section on Large-Scale Multimodal Learning: Universality, Robustness, Efficiency, and Beyond. IEEE Trans. Pattern Anal. Mach. Intell. 47(7): 5127-5129 (2025)- [j8]Zhiyuan Ma, Yuzhu Zhang, Guoli Jia, Liangliang Zhao, Yichao Ma, Mingjie Ma, Gaofeng Liu, Kaiyan Zhang, Ning Ding, Jianjun Li, Bowen Zhou:
Efficient Diffusion Models: A Comprehensive Survey From Principles to Practices. IEEE Trans. Pattern Anal. Mach. Intell. 47(9): 7506-7525 (2025) - [j7]Biqing Qi, Junqi Gao, Xinquan Chen, Dong Li, Jianxing Liu, Ligang Wu, Bowen Zhou:
Contrastive Augmented Graph2Graph Memory Interaction for Few Shot Continual Learning. IEEE Trans. Circuits Syst. Video Technol. 35(6): 5805-5820 (2025) - [c37]Xinwei Long, Zhiyuan Ma, Ermo Hua, Kaiyan Zhang, Biqing Qi, Bowen Zhou:
Retrieval-Augmented Visual Question Answering via Built-in Autoregressive Search Engines. AAAI 2025: 24723-24731 - [c36]Ermo Hua, Biqing Qi, Kaiyan Zhang, Kai Tian, Xingtai Lv, Ning Ding, Bowen Zhou:
Intuitive Fine-Tuning: Towards Simplifying Alignment into a Single Process. ACL (1) 2025: 121-136 - [c35]Ning Ding, Yulin Chen, Ganqu Cui, Xingtai Lv, Weilin Zhao, Kaiyan Zhang, Ruobing Xie, Bowen Zhou, Zhiyuan Liu, Maosong Sun:
Fusing Highly Specialized Language Models for Comprehensive Expertise. ACL (1) 2025: 854-878 - [c34]Jiakang Yuan, Xiangchao Yan, Bo Zhang, Tao Chen, Botian Shi, Wanli Ouyang, Yu Qiao, Lei Bai, Bowen Zhou:
Dolphin: Moving Towards Closed-loop Auto-research through Thinking, Practice, and Feedback. ACL (1) 2025: 21768-21789 - [c33]Haoyang Su, Renqi Chen, Shixiang Tang, Zhenfei Yin, Xinzhe Zheng, Jinzhe Li, Biqing Qi, Qi Wu, Hui Li, Wanli Ouyang, Philip Torr, Bowen Zhou, Nanqing Dong:
Many Heads Are Better Than One: Improved Scientific Idea Generation by A LLM-Based Multi-Agent System. ACL (1) 2025: 28201-28240 - [c32]Biqing Qi, Fangyuan Li, Zhen Wang, Junqi Gao, Dong Li, Peng Ye, Bowen Zhou:
Less is More: Efficient Model Merging with Binary Task Switch. CVPR 2025: 15265-15274 - [c31]Lifan Yuan, Ganqu Cui, Hanbin Wang, Ning Ding, Xingyao Wang, Boji Shan, Zeyuan Liu, Jia Deng, Huimin Chen, Ruobing Xie, Yankai Lin, Zhenghao Liu, Bowen Zhou, Hao Peng, Zhiyuan Liu, Maosong Sun:
Advancing LLM Reasoning Generalists with Preference Trees. ICLR 2025 - [c30]Kaiyan Zhang, Jiayuan Zhang, Haoxin Li, Xuekai Zhu, Ermo Hua, Xingtai Lv, Ning Ding, Biqing Qi, Bowen Zhou:
OpenPRM: Building Open-domain Process-based Reward Models with Preference Trees. ICLR 2025 - [i94]Jiakang Yuan, Xiangchao Yan, Botian Shi, Tao Chen, Wanli Ouyang, Bo Zhang, Lei Bai, Yu Qiao, Bowen Zhou:
Dolphin: Closed-loop Open-ended Auto-research through Thinking, Practice, and Feedback. CoRR abs/2501.03916 (2025) - [i93]Yuxin Zuo, Shang Qu, Yifei Li, Zhangren Chen, Xuekai Zhu, Ermo Hua, Kaiyan Zhang, Ning Ding, Bowen Zhou:
MedXpertQA: Benchmarking Expert-Level Medical Reasoning and Understanding. CoRR abs/2501.18362 (2025) - [i92]Ganqu Cui, Lifan Yuan, Zefan Wang, Hanbin Wang, Wendi Li, Bingxiang He, Yuchen Fan, Tianyu Yu, Qixin Xu, Weize Chen, Jiarui Yuan, Huayu Chen, Kaiyan Zhang, Xingtai Lv, Shuo Wang, Yuan Yao, Xu Han, Hao Peng, Yu Cheng, Zhiyuan Liu, Maosong Sun, Bowen Zhou, Ning Ding:
Process Reinforcement through Implicit Rewards. CoRR abs/2502.01456 (2025) - [i91]Runze Liu, Junqi Gao, Jian Zhao, Kaiyan Zhang, Xiu Li, Biqing Qi, Wanli Ouyang, Bowen Zhou:
Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time Scaling. CoRR abs/2502.06703 (2025) - [i90]Xinwei Long, Zhiyuan Ma, Ermo Hua, Kaiyan Zhang, Biqing Qi, Bowen Zhou:
Retrieval-Augmented Visual Question Answering via Built-in Autoregressive Search Engines. CoRR abs/2502.16641 (2025) - [i89]Xingtai Lv, Youbang Sun, Kaiyan Zhang, Shang Qu, Xuekai Zhu, Yuchen Fan, Yi Wu, Ermo Hua, Xinwei Long, Ning Ding, Bowen Zhou:
Technologies on Effectiveness and Efficiency: A Survey of State Spaces Models. CoRR abs/2503.11224 (2025) - [i88]Xiaoye Qu, Yafu Li, Zhaochen Su, Weigao Sun, Jianhao Yan, Dongrui Liu, Ganqu Cui, Daizong Liu, Shuxian Liang, Junxian He, Peng Li, Wei Wei, Jing Shao, Chaochao Lu, Yue Zhang, Xian-Sheng Hua, Bowen Zhou, Yu Cheng:
A Survey of Efficient Reasoning for Large Reasoning Models: Language, Multimodality, and Beyond. CoRR abs/2503.21614 (2025) - [i87]Jian Zhao, Runze Liu, Kaiyan Zhang, Zhimu Zhou, Junqi Gao, Dong Li, Jiafei Lyu, Zhouyi Qian, Biqing Qi, Xiu Li, Bowen Zhou:
GenPRM: Scaling Test-Time Compute of Process Reward Models via Generative Reasoning. CoRR abs/2504.00891 (2025) - [i86]Yuxin Zuo, Kaiyan Zhang, Shang Qu, Li Sheng, Xuekai Zhu, Biqing Qi, Youbang Sun, Ganqu Cui, Ning Ding, Bowen Zhou:
TTRL: Test-Time Reinforcement Learning. CoRR abs/2504.16084 (2025) - [i85]Yixiao Chen, Zhiyuan Ma, Guoli Jia, Che Jiang, Jianjun Li, Bowen Zhou:
Context-Aware Autoregressive Models for Multi-Conditional Image Generation. CoRR abs/2505.12274 (2025) - [i84]Zeyi Ren, Jingreng Lei, Yichen Jin, Ermo Hua, Qingfeng Lin, Chen Zhang, Bowen Zhou, Yik-Chung Wu:
Deep Unfolding with Kernel-based Quantization in MIMO Detection. CoRR abs/2505.12736 (2025) - [i83]Ruilin Yao, Bo Zhang, Jirui Huang, Xinwei Long, Yifang Zhang, Tianyu Zou, Yufei Wu, Shichao Su, Yifan Xu, Wenxi Zeng, Zhaoyu Yang, Guoyou Li, Shilan Zhang, Zichan Li, Yaxiong Chen, Shengwu Xiong, Peng Xu, Jiajun Zhang, Bowen Zhou, David A. Clifton, Luc Van Gool:
LENS: Multi-level Evaluation of Multimodal Reasoning with Large Language Models. CoRR abs/2505.15616 (2025) - [i82]Bo Zhang, Shiyang Feng, Xiangchao Yan, Jiakang Yuan, Zhiyin Yu, Xiaohan He, Songtao Huang, Shaowei Hou, Zheng Nie, Zhilong Wang, Jinyao Liu, Runmin Ma, Tianshuo Peng, Peng Ye, Dongzhan Zhou, Shufei Zhang, Xiaosong Wang, Yilan Zhang, Meng Li, Zhongying Tu, Xiangyu Yue, Wangli Ouyang, Bowen Zhou, Lei Bai:
NovelSeek: When Agent Becomes the Scientist - Building Closed-Loop System from Hypothesis to Verification. CoRR abs/2505.16938 (2025) - [i81]Jiadong Pan, Zhiyuan Ma, Kaiyan Zhang, Ning Ding, Bowen Zhou:
Self-Reflective Reinforcement Learning for Diffusion-based Image Reasoning Generation. CoRR abs/2505.22407 (2025) - [i80]Ganqu Cui, Yuchen Zhang, Jiacheng Chen, Lifan Yuan, Zhi Wang, Yuxin Zuo, Haozhan Li, Yuchen Fan, Huayu Chen, Weize Chen, Zhiyuan Liu, Hao Peng, Lei Bai, Wanli Ouyang, Yu Cheng, Bowen Zhou, Ning Ding:
The Entropy Mechanism of Reinforcement Learning for Reasoning Language Models. CoRR abs/2505.22617 (2025) - [i79]Shang Qu, Ning Ding, Linhai Xie, Yifei Li, Zaoqu Liu, Kaiyan Zhang, Yibai Xiong, Yuxin Zuo, Zhangren Chen, Ermo Hua, Xingtai Lv, Youbang Sun, Yang Li, Dong Li, Fuchu He, Bowen Zhou:
Automating Exploratory Multiomics Research via Language Models. CoRR abs/2506.07591 (2025) - [i78]Zhiyuan Ma, Ruixun Liu, Sixian Liu, Jianjun Li, Bowen Zhou:
Flow Diverse and Efficient: Learning Momentum Flow Matching via Stochastic Velocity Field Sampling. CoRR abs/2506.08796 (2025) - [i77]Changze Lv, Jiang Zhou, Siyu Long, Lihao Wang, Jiangtao Feng, Dongyu Xue, Yu Pei, Hao Wang, Zherui Zhang, Yuchen Cai, Zhiqiang Gao, Ziyuan Ma, Jiakai Hu, Chaochen Gao, Jingjing Gong, Yuxuan Song, Shuyi Zhang, Xiaoqing Zheng, Deyi Xiong, Lei Bai, Wanli Ouyang, Ya-Qin Zhang, Wei-Ying Ma, Bowen Zhou, Hao Zhou:
AMix-1: A Pathway to Test-Time Scalable Protein Foundation Model. CoRR abs/2507.08920 (2025) - [i76]Chuanhao Yan, Fengdi Che, Xuhan Huang, Xu Xu, Xin Li, Yizhi Li, Xingwei Qu, Jingzhe Shi, Zhuangzhuang He, Chenghua Lin, Yaodong Yang, Binhang Yuan, Hang Zhao, Yu Qiao, Bowen Zhou, Jie Fu:
Re:Form - Reducing Human Priors in Scalable Formal Software Verification with RL in LLMs: A Preliminary Study on Dafny. CoRR abs/2507.16331 (2025) - [i75]Peiji Li, Jiasheng Ye, Yongkang Chen, Yichuan Ma, Zijie Yu, Kedi Chen, Ganqu Cui, Haozhan Li, Jiacheng Chen, Chengqi Lyu, Wenwei Zhang, Linyang Li, Qipeng Guo, Dahua Lin, Bowen Zhou, Kai Chen:
InternBootcamp Technical Report: Boosting LLM Reasoning with Verifiable Task Scaling. CoRR abs/2508.08636 (2025) - [i74]Sihang Zeng, Kai Tian, Kaiyan Zhang, Yuru wang, Junqi Gao, Runze Liu, Sa Yang, Jingxuan Li, Xinwei Long, Jiaheng Ma, Biqing Qi, Bowen Zhou:
ReviewRL: Towards Automated Scientific Review with RL. CoRR abs/2508.10308 (2025) - [i73]Yuchen Fan, Kaiyan Zhang, Heng Zhou, Yuxin Zuo, Yanxu Chen, Yu Fu, Xinwei Long, Xuekai Zhu, Che Jiang, Yuchen Zhang, Li Kang, Gang Chen, Cheng Huang, Zhizhou He, Bingning Wang, Lei Bai, Ning Ding, Bowen Zhou:
SSRL: Self-Search Reinforcement Learning. CoRR abs/2508.10874 (2025) - [i72]Jiaqi Wei, Yuejin Yang, Xiang Zhang, Yuhan Chen, Xiang Zhuang, Zhangyang Gao, Dongzhan Zhou, Guangshuai Wang, Zhiqiang Gao, Juntai Cao, Zijie Qiu, Xuming He, Qiang Zhang, Chenyu You, Shuangjia Zheng, Ning Ding, Wanli Ouyang, Nanqing Dong, Yu Cheng, Siqi Sun, Lei Bai, Bowen Zhou:
From AI for Science to Agentic Science: A Survey on Autonomous Scientific Discovery. CoRR abs/2508.14111 (2025) - [i71]Weiyun Wang, Zhangwei Gao, Lixin Gu, Hengjun Pu, Long Cui, Xingguang Wei, Zhaoyang Liu, Linglin Jing, Shenglong Ye, Jie Shao, Zhaokai Wang, Zhe Chen, Hongjie Zhang, Ganlin Yang, Haomin Wang, Qi Wei, Jinhui Yin, Wenhao Li, Erfei Cui, Guanzhou Chen, Zichen Ding, Changyao Tian, Zhenyu Wu, JingJing Xie, Zehao Li, Bowen Yang, Yuchen Duan, Xuehui Wang, Zhi Hou, Haoran Hao, Tianyi Zhang, Songze Li, Xiangyu Zhao, Haodong Duan, Nianchen Deng, Bin Fu, Yinan He, Yi Wang, Conghui He, Botian Shi, Junjun He, Yingtong Xiong, Han Lv, Lijun Wu, Wenqi Shao, Kaipeng Zhang, Huipeng Deng, Biqing Qi, Jiaye Ge, Qipeng Guo, Wenwei Zhang, Songyang Zhang, Maosong Cao, Junyao Lin, Kexian Tang, Jianfei Gao, Haian Huang, Yuzhe Gu, Chengqi Lyu, Huanze Tang, Rui Wang, Haijun Lv, Wanli Ouyang, Limin Wang, Min Dou, Xizhou Zhu, Tong Lu, Dahua Lin, Jifeng Dai, Weijie Su, Bowen Zhou, Kai Chen, Yu Qiao, Wenhai Wang, Gen Luo:
InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency. CoRR abs/2508.18265 (2025) - [i70]Xingtai Lv, Yuxin Zuo, Youbang Sun, Hongyi Liu, Yuntian Wei, Zhekai Chen, Lixuan He, Xuekai Zhu, Kaiyan Zhang, Bingning Wang, Ning Ding, Bowen Zhou:
Towards a Unified View of Large Language Model Post-Training. CoRR abs/2509.04419 (2025) - [i69]Youbang Sun, Xiang Wang, Jie Fu, Chaochao Lu, Bowen Zhou:
R2AI: Towards Resistant and Resilient AI in an Evolving World. CoRR abs/2509.06786 (2025) - [i68]Xinwei Long, Kai Tian, Peng Xu, Guoli Jia, Jingxuan Li, Sa Yang, Yihua Shao, Kaiyan Zhang, Che Jiang, Hao Xu, Yang Liu, Jiaheng Ma, Bowen Zhou:
AdsQA: Towards Advertisement Video Understanding. CoRR abs/2509.08621 (2025) - [i67]Kaiyan Zhang, Yuxin Zuo, Bingxiang He, Youbang Sun, Runze Liu, Che Jiang, Yuchen Fan, Kai Tian, Guoli Jia, Pengfei Li, Yu Fu, Xingtai Lv, Yuchen Zhang, Sihang Zeng, Shang Qu, Haozhan Li, Shijie Wang, Yuru Wang, Xinwei Long, Fangfu Liu, Xiang Xu, Jiaze Ma, Xuekai Zhu, Ermo Hua, Yihao Liu, Zonglin Li, Huayu Chen, Xiaoye Qu, Yafu Li, Weize Chen, Zhenzhao Yuan, Junqi Gao, Dong Li, Zhiyuan Ma, Ganqu Cui, Zhiyuan Liu, Biqing Qi, Ning Ding, Bowen Zhou:
A Survey of Reinforcement Learning for Large Reasoning Models. CoRR abs/2509.08827 (2025) - [i66]Haozhan Li, Yuxin Zuo, Jiale Yu, Yuhao Zhang, Zhaohui Yang, Kaiyan Zhang, Xuekai Zhu, Yuchen Zhang, Tianxing Chen, Ganqu Cui, Dehui Wang, Dingxiang Luo, Yuchen Fan, Youbang Sun, Jia Zeng, Jiangmiao Pang, Shanghang Zhang, Yu Wang, Yao Mu, Bowen Zhou, Ning Ding:
SimpleVLA-RL: Scaling VLA Training via Reinforcement Learning. CoRR abs/2509.09674 (2025) - [i65]Peng Xu, Shengwu Xiong, Jiajun Zhang, Yaxiong Chen, Bowen Zhou, Chen Change Loy, David A. Clifton, Kyoung Mu Lee, Luc Van Gool, Ruiming He, Ruilin Yao, Xinwei Long, Jirui Huang, Kai Tian, Sa Yang, Yihua Shao, Jin Feng, Yue Zhong, Jiakai Zhou, Cheng Tang, Tianyu Zou, Yifang Zhang, Junming Liang, Guoyou Li, Zhaoxiang Wang, Qiang Zhou, Yichen Zhao, Shili Xiong, Hyeongjin Nam, Jaerin Lee, Jaeyoung Chung, JoonKyu Park, Junghun Oh, Kanggeon Lee, Wooseok Lee, Juneyoung Ro, Turghun Osman, Can Hu, Chaoyang Liao, Cheng Chen, Chengcheng Han, Chenhao Qiu, Chong Peng, Cong Xu, Dailin Li, Feiyu Wang, Feng Gao, Guibo Zhu, Guopeng Tang, Haibo Lu, Han Fang, Han Qi, Hanxiao Wu, Haobo Cheng, Hongbo Sun, Hongyao Chen, Huayong Hu, Hui Li, Jiaheng Ma, Jiang Yu, Jianing Wang, Jie Yang, Jing He, Jinglin Zhou, Jingxuan Li, Josef Kittler, Lihao Zheng, Linnan Zhao, Mengxi Jia, Muyang Yan, Nguyen Thanh Thien, Pu Luo, Qi Li, Shien Song, Shijie Dong, Shuai Shao, Shutao Li, Taofeng Xue, Tianyang Xu, Tianyi Gao, Tingting Li, Wei Zhang, Weiyang Su, Xiaodong Dong, Xiao-Jun Wu, Xiaopeng Zhou, Xin Chen, Xin Wei, Xinyi You, Xudong Kang, Xujie Zhou, Xusheng Liu, Yanan Wang, Yanbin Huang, Yang Liu, Yang Yang, Yanglin Deng, Yashu Kang, Ye Yuan, Yi Wen:
MARS2 2025 Challenge on Multimodal Reasoning: Datasets, Methods, Results, Discussion, and Outlook. CoRR abs/2509.14142 (2025) - [i64]Xuekai Zhu, Daixuan Cheng, Dinghuai Zhang, Hengli Li, Kaiyan Zhang, Che Jiang, Youbang Sun, Ermo Hua, Yuxin Zuo, Xingtai Lv, Qizheng Zhang, Lin Chen, Fanghao Shao, Bo Xue, Yunchong Song, Zhenjie Yang, Ganqu Cui, Ning Ding, Jianfeng Gao, Xiaodong Liu, Bowen Zhou, Hongyuan Mei, Zhouhan Lin:
FlowRL: Matching Reward Distributions for LLM Reasoning. CoRR abs/2509.15207 (2025) - [i63]Zhaoyang Liu, JingJing Xie, Zichen Ding, Zehao Li, Bowen Yang, Zhenyu Wu, Xuehui Wang, Qiushi Sun, Shi Liu, Weiyun Wang, Shenglong Ye, Qingyun Li, Xuan Dong, Yue Yu, Chenyu Lu, YunXiang Mo, Yao Yan, Zeyue Tian, Xiao Zhang, Yuan Huang, Yiqian Liu, Weijie Su, Gen Luo, Xiangyu Yue, Biqing Qi, Kai Chen, Bowen Zhou, Yu Qiao, Qifeng Chen, Wenhai Wang:
ScaleCUA: Scaling Open-Source Computer Use Agents with Cross-Platform Data. CoRR abs/2509.15221 (2025) - [i62]Wei Zhang, Jack Yang, Renshuai Tao, Lingzheng Chai, Shawn Guo, Jiajun Wu, Xiaoming Chen, Ganqu Cui, Ning Ding, Xander Xu, Hu Wei, Bowen Zhou:
V-GameGym: Visual Game Generation for Code Large Language Models. CoRR abs/2509.20136 (2025) - [i61]Junbo Niu, Zheng Liu, Zhuangcheng Gu, Bin Wang, Linke Ouyang, Zhiyuan Zhao, Tao Chu, Tianyao He, Fan Wu, Qintong Zhang, Zhenjiang Jin, Guang Liang, Rui Zhang, Wenzheng Zhang, Yuan Qu, Zhifei Ren, Yuefeng Sun, Yuanhong Zheng, Dongsheng Ma, Zirui Tang, Boyu Niu, Ziyang Miao, Hejun Dong, Siyi Qian, Junyuan Zhang, Jingzhou Chen, Fangdong Wang, Xiaomeng Zhao, Liqun Wei, Wei Li, Shasha Wang, Ruiliang Xu, Yuanyuan Cao, Lu Chen, Qianqian Wu, Huaiyu Gu, Lindong Lu, Keming Wang, Dechen Lin, Guanlin Shen, Xuanhe Zhou, Linfeng Zhang, Yuhang Zang, Xiaoyi Dong, Jiaqi Wang, Bo Zhang, Lei Bai, Pei Chu, Weijia Li, Jiang Wu, Lijun Wu, Zhenxiang Li, Guangyu Wang, Zhongying Tu, Chao Xu, Kai Chen, Yu Qiao, Bowen Zhou, Dahua Lin, Wentao Zhang, Conghui He:
MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing. CoRR abs/2509.22186 (2025) - 2024
- [j6]Bowen Zhou, Ning Ding:
Generative AI for Complex Scenarios: Language Models are Sequence Processors. Int. J. Artif. Intell. Robotics Res. 1(1): 2401001:1-2401001:5 (2024) - [j5]Biqing Qi, Junqi Gao, Jianxing Liu, Ligang Wu, Bowen Zhou:
Enhancing Adversarial Transferability via Information Bottleneck Constraints. IEEE Signal Process. Lett. 31: 1414-1418 (2024) - [j4]Biqing Qi, Bowen Zhou, Weinan Zhang, Jianxing Liu, Ligang Wu:
Improving Robustness of Intent Detection Under Adversarial Attacks: A Geometric Constraint Perspective. IEEE Trans. Neural Networks Learn. Syst. 35(5): 6133-6144 (2024) - [c29]Zhiyuan Ma, Zhihuan Yu, Jianjun Li, Bowen Zhou:
LMD: Faster Image Reconstruction with Latent Masking Diffusion. AAAI 2024: 4145-4153 - [c28]Zhiyuan Ma, Guoli Jia, Bowen Zhou:
AdapEdit: Spatio-Temporal Guided Adaptive Editing Algorithm for Text-Based Continuity-Sensitive Image Editing. AAAI 2024: 4154-4161 - [c27]Xinwei Long, Jiali Zeng, Fandong Meng, Zhiyuan Ma, Kaiyan Zhang, Bowen Zhou, Jie Zhou:
Generative Multi-Modal Knowledge Retrieval with Large Language Models. AAAI 2024: 18733-18741 - [c26]Kaiyan Zhang, Jianyu Wang, Ermo Hua, Biqing Qi, Ning Ding, Bowen Zhou:
CoGenesis: A Framework Collaborating Large and Small Language Models for Secure Context-Aware Instruction Following. ACL (1) 2024: 4295-4312 - [c25]Xinwei Long, Jiali Zeng, Fandong Meng, Jie Zhou, Bowen Zhou:
Trust in Internal or External Knowledge? Generative Multi-Modal Entity Linking with Knowledge Retriever. ACL (Findings) 2024: 7559-7569 - [c24]Biqing Qi, Junqi Gao, Kaiyan Zhang, Dong Li, Jianxing Liu, Ligang Wu, Bowen Zhou:
SMR: State Memory Replay for Long Sequence Modeling. ACL (Findings) 2024: 8102-8116 - [c23]Yulin Chen, Ning Ding, Hai-Tao Zheng, Zhiyuan Liu, Maosong Sun, Bowen Zhou:
Empowering Private Tutoring by Chaining Large Language Models. CIKM 2024: 354-364 - [c22]Pancheng Zhao, Peng Xu, Pengda Qin, Deng-Ping Fan, Zhicheng Zhang, Guoli Jia, Bowen Zhou, Jufeng Yang:
LAKE-RED: Camouflaged Images Generation by Latent Background Knowledge Retrieval-Augmented Diffusion. CVPR 2024: 4092-4101 - [c21]Biqing Qi, Xinquan Chen, Junqi Gao, Dong Li, Jianxing Liu, Ligang Wu, Bowen Zhou:
Interactive Continual Learning: Fast and Slow Thinking. CVPR 2024: 12882-12892 - [c20]Dayuan Fu, Biqing Qi, Yihuai Gao, Che Jiang, Guanting Dong, Bowen Zhou:
MSI-Agent: Incorporating Multi-Scale Insight into Embodied Agents for Superior Planning and Decision-Making. EMNLP 2024: 643-659 - [c19]Xiangyu Hong, Che Jiang, Biqing Qi, Fandong Meng, Mo Yu, Bowen Zhou, Jie Zhou:
On the token distance modeling ability of higher RoPE attention dimension. EMNLP (Findings) 2024: 5877-5888 - [c18]Xingtai Lv, Ning Ding, Kaiyan Zhang, Ermo Hua, Ganqu Cui, Bowen Zhou:
Scalable Efficient Training of Large Language Models with Low-dimensional Projected Attention. EMNLP 2024: 14588-14599 - [c17]Zhiyuan Ma, Guoli Jia, Biqing Qi, Bowen Zhou:
Safe-SD: Safe and Traceable Stable Diffusion with Text Prompt Trigger for Invisible Generative Watermarking. ACM Multimedia 2024: 7113-7122 - [c16]Che Jiang, Biqing Qi, Xiangyu Hong, Dayuan Fu, Yang Cheng, Fandong Meng, Mo Yu, Bowen Zhou, Jie Zhou:
On Large Language Models' Hallucination with Regard to Known Facts. NAACL-HLT 2024: 1041-1053 - [c15]Xuekai Zhu, Biqing Qi, Kaiyan Zhang, Xinwei Long, Zhouhan Lin, Bowen Zhou:
PaD: Program-aided Distillation Can Teach Small Models Reasoning Better than Chain-of-thought Fine-tuning. NAACL-HLT 2024: 2571-2597 - [c14]Zhiyuan Ma, Liangliang Zhao, Biqing Qi, Bowen Zhou:
Neural Residual Diffusion Models for Deep Scalable Vision Generation. NeurIPS 2024 - [c13]Biqing Qi, Yiang Luo, Junqi Gao, Pengfei Li, Kai Tian, Zhiyuan Ma, Bowen Zhou:
Exploring Adversarial Robustness of Deep State Space Models. NeurIPS 2024 - [c12]Kaiyan Zhang, Sihang Zeng, Ermo Hua, Ning Ding, Zhang-Ren Chen, Zhiyuan Ma, Haoxin Li, Ganqu Cui, Biqing Qi, Xuekai Zhu, Xingtai Lv, Jinfang Hu, Zhiyuan Liu, Bowen Zhou:
UltraMedical: Building Specialized Generalists in Biomedicine. NeurIPS 2024 - [i60]Xinwei Long, Jiali Zeng, Fandong Meng, Zhiyuan Ma, Kaiyan Zhang, Bowen Zhou, Jie Zhou:
Generative Multi-Modal Knowledge Retrieval with Large Language Models. CoRR abs/2401.08206 (2024) - [i59]Xuekai Zhu, Yao Fu, Bowen Zhou, Zhouhan Lin:
Critical Data Size of Language Models from a Grokking Perspective. CoRR abs/2401.10463 (2024) - [i58]Biqing Qi, Junqi Gao, Yiang Luo, Jianxing Liu, Ligang Wu, Bowen Zhou:
Investigating Deep Watermark Security: An Adversarial Transferability Perspective. CoRR abs/2402.16397 (2024) - [i57]Biqing Qi, Xingquan Chen, Junqi Gao, Dong Li, Jianxing Liu, Ligang Wu, Bowen Zhou:
Interactive Continual Learning: Fast and Slow Thinking. CoRR abs/2403.02628 (2024) - [i56]Kaiyan Zhang, Jianyu Wang, Ermo Hua, Biqing Qi, Ning Ding, Bowen Zhou:
CoGenesis: A Framework Collaborating Large and Small Language Models for Secure Context-Aware Instruction Following. CoRR abs/2403.03129 (2024) - [i55]Biqing Qi, Junqi Gao, Xingquan Chen, Dong Li, Jianxing Liu, Ligang Wu, Bowen Zhou:
Contrastive Augmented Graph2Graph Memory Interaction for Few Shot Continual Learning. CoRR abs/2403.04140 (2024) - [i54]Ning Ding, Yulin Chen, Ganqu Cui, Xingtai Lv, Weilin Zhao, Ruobing Xie, Bowen Zhou, Zhiyuan Liu, Maosong Sun:
Mastering Text, Code and Math Simultaneously via Fusing Highly Specialized Language Models. CoRR abs/2403.08281 (2024) - [i53]Che Jiang, Biqing Qi, Xiangyu Hong, Dayuan Fu, Yang Cheng, Fandong Meng, Mo Yu, Bowen Zhou, Jie Zhou:
On Large Language Models' Hallucination with Regard to Known Facts. CoRR abs/2403.20009 (2024) - [i52]Pancheng Zhao, Peng Xu, Pengda Qin, Deng-Ping Fan, Zhicheng Zhang, Guoli Jia, Bowen Zhou, Jufeng Yang:
LAKE-RED: Camouflaged Images Generation by Latent Background Knowledge Retrieval-Augmented Diffusion. CoRR abs/2404.00292 (2024) - [i51]Lifan Yuan, Ganqu Cui, Hanbin Wang, Ning Ding, Xingyao Wang, Jia Deng, Boji Shan, Huimin Chen, Ruobing Xie, Yankai Lin, Zhenghao Liu, Bowen Zhou, Hao Peng, Zhiyuan Liu, Maosong Sun:
Advancing LLM Reasoning Generalists with Preference Trees. CoRR abs/2404.02078 (2024) - [i50]Ermo Hua, Biqing Qi, Kaiyan Zhang, Yue Yu, Ning Ding, Xingtai Lv, Kai Tian, Bowen Zhou:
Intuitive Fine-Tuning: Towards Simplifying Alignment into a Single Process. CoRR abs/2405.11870 (2024) - [i49]Qingming Li, Juzheng Miao, Puning Zhao, Li Zhou, Shouling Ji, Bowen Zhou, Furui Liu:
Emulating Full Client Participation: A Long-Term Client Selection Strategy for Federated Learning. CoRR abs/2405.13584 (2024) - [i48]Biqing Qi, Junqi Gao, Kaiyan Zhang, Dong Li, Jianxing Liu, Ligang Wu, Bowen Zhou:
SMR: State Memory Replay for Long Sequence Modeling. CoRR abs/2405.17534 (2024) - [i47]Kaiyan Zhang, Sihang Zeng, Ermo Hua, Ning Ding, Zhang-Ren Chen, Zhiyuan Ma, Haoxin Li, Ganqu Cui, Biqing Qi, Xuekai Zhu, Xingtai Lv, Jinfang Hu, Zhiyuan Liu, Bowen Zhou:
UltraMedical: Building Specialized Generalists in Biomedicine. CoRR abs/2406.03949 (2024) - [i46]Biqing Qi, Junqi Gao, Jianxing Liu, Ligang Wu, Bowen Zhou:
Enhancing Adversarial Transferability via Information Bottleneck Constraints. CoRR abs/2406.05531 (2024) - [i45]Biqing Qi, Yang Luo, Junqi Gao, Pengfei Li, Kai Tian, Zhiyuan Ma, Bowen Zhou:
Exploring Adversarial Robustness of Deep State Space Models. CoRR abs/2406.05532 (2024) - [i44]Biqing Qi, Pengfei Li, Fangyuan Li, Junqi Gao, Kaiyan Zhang, Bowen Zhou:
Online DPO: Online Direct Preference Optimization with Fast-Slow Chasing. CoRR abs/2406.05534 (2024) - [i43]Kaiyan Zhang, Jianyu Wang, Ning Ding, Biqing Qi, Ermo Hua, Xingtai Lv, Bowen Zhou:
Fast and Slow Generating: An Empirical Study on Large and Small Language Models Collaborative Decoding. CoRR abs/2406.12295 (2024) - [i42]Zhiyuan Ma, Liangliang Zhao, Biqing Qi, Bowen Zhou:
Neural Residual Diffusion Models for Deep Scalable Vision Generation. CoRR abs/2406.13215 (2024) - [i41]Yuchen Fan, Xin Zhong, Chengsi Wang, Gaoche Wu, Bowen Zhou:
EVA-Score: Evaluation of Long-form Summarization on Informativeness through Extraction and Validation. CoRR abs/2407.04969 (2024) - [i40]Kaiyan Zhang, Biqing Qi, Bowen Zhou:
Towards Building Specialized Generalist AI with System 1 and System 2 Fusion. CoRR abs/2407.08642 (2024) - [i39]Biqing Qi, Kaiyan Zhang, Kai Tian, Haoxiang Li, Zhang-Ren Chen, Sihang Zeng, Ermo Hua, Jinfang Hu, Bowen Zhou:
Large Language Models as Biomedical Hypothesis Generators: A Comprehensive Evaluation. CoRR abs/2407.08940 (2024) - [i38]Zhiyuan Ma, Guoli Jia, Biqing Qi, Bowen Zhou:
Safe-SD: Safe and Traceable Stable Diffusion with Text Prompt Trigger for Invisible Generative Watermarking. CoRR abs/2407.13188 (2024) - [i37]Biqing Qi, Junqi Gao, Xinquan Chen, Dong Li, Weinan Zhang, Bowen Zhou:
SR-CIS: Self-Reflective Incremental System with Decoupled Memory and Reasoning. CoRR abs/2408.01970 (2024) - [i36]Wenxuan Xie, Gaochen Wu, Bowen Zhou:
MAG-SQL: Multi-Agent Generative Approach with Soft Schema Linking and Iterative Sub-SQL Refinement for Text-to-SQL. CoRR abs/2408.07930 (2024) - [i35]Dayuan Fu, Biqing Qi, Yihuai Gao, Che Jiang, Guanting Dong, Bowen Zhou:
MSI-Agent: Incorporating Multi-Scale Insight into Embodied Agents for Superior Planning and Decision-Making. CoRR abs/2409.16686 (2024) - [i34]Yuchen Fan, Xin Zhong, Heng Zhou, Yuchen Zhang, Mingyu Liang, Chengxing Xie, Ermo Hua, Ning Ding, Bowen Zhou:
CALF: Benchmarking Evaluation of LFQA Using Chinese Examinations. CoRR abs/2410.01945 (2024) - [i33]Xiangyu Hong, Che Jiang, Biqing Qi, Fandong Meng, Mo Yu, Bowen Zhou, Jie Zhou:
On the token distance modeling ability of higher RoPE attention dimension. CoRR abs/2410.08703 (2024) - [i32]Zhiyuan Ma, Yuzhu Zhang, Guoli Jia, Liangliang Zhao, Yichao Ma, Mingjie Ma, Gaofeng Liu, Kaiyan Zhang, Jianjun Li, Bowen Zhou:
Efficient Diffusion Models: A Comprehensive Survey from Principles to Practices. CoRR abs/2410.11795 (2024) - [i31]Xingtai Lv, Ning Ding, Kaiyan Zhang, Ermo Hua, Ganqu Cui, Bowen Zhou:
Scalable Efficient Training of Large Language Models with Low-dimensional Projected Attention. CoRR abs/2411.02063 (2024) - [i30]Ning Ding, Shang Qu, Linhai Xie, Yifei Li, Zaoqu Liu, Kaiyan Zhang, Yibai Xiong, Yuxin Zuo, Zhangren Chen, Ermo Hua, Xingtai Lv, Youbang Sun, Yang Li, Dong Li, Fuchu He, Bowen Zhou:
Automating Exploratory Proteomics Research via Language Models. CoRR abs/2411.03743 (2024) - [i29]Biqing Qi, Fangyuan Li, Zhen Wang, Junqi Gao, Dong Li, Peng Ye, Bowen Zhou:
Less is More: Efficient Model Merging with Binary Task Switch. CoRR abs/2412.00054 (2024) - [i28]Lifan Yuan, Wendi Li, Huayu Chen, Ganqu Cui, Ning Ding, Kai Zhang, Bowen Zhou, Zhiyuan Liu, Hao Peng:
Free Process Rewards without Process Labels. CoRR abs/2412.01981 (2024) - [i27]Biqing Qi, Zhouyi Qian, Yiang Luo, Junqi Gao, Dong Li, Kaiyan Zhang, Bowen Zhou:
Evolution of Thought: Diverse and High-Quality Reasoning via Multi-Objective Optimization. CoRR abs/2412.07779 (2024) - [i26]Xuekai Zhu, Daixuan Cheng, Hengli Li, Kaiyan Zhang, Ermo Hua, Xingtai Lv, Ning Ding, Zhouhan Lin, Zilong Zheng, Bowen Zhou:
How to Synthesize Text Data without Model Collapse? CoRR abs/2412.14689 (2024) - [i25]Ermo Hua, Che Jiang, Xingtai Lv, Kaiyan Zhang, Ning Ding, Youbang Sun, Biqing Qi, Yuchen Fan, Xuekai Zhu, Bowen Zhou:
Fourier Position Embedding: Enhancing Attention's Periodic Extension for Length Generalization. CoRR abs/2412.17739 (2024) - 2023
- [j3]Ge-Peng Ji, Deng-Ping Fan, Peng Xu, Bowen Zhou, Ming-Ming Cheng, Luc Van Gool:
SAM struggles in concealed scenes - empirical study on "Segment Anything". Sci. China Inf. Sci. 66(12) (2023) - [c11]Ning Ding, Yulin Chen, Bokai Xu, Yujia Qin, Shengding Hu, Zhiyuan Liu, Maosong Sun, Bowen Zhou:
Enhancing Chat Language Models by Scaling High-quality Instructional Conversations. EMNLP 2023: 3029-3051 - [c10]Ning Ding, Xingtai Lv, Qiaosen Wang, Yulin Chen, Bowen Zhou, Zhiyuan Liu, Maosong Sun:
Sparse Low-rank Adaptation of Pre-trained Language Models. EMNLP 2023: 4133-4145 - [c9]Kaiyan Zhang, Ning Ding, Biqing Qi, Xuekai Zhu, Xinwei Long, Bowen Zhou:
CRaSh: Clustering, Removing, and Sharing Enhance Fine-tuning without Full Large Language Model. EMNLP 2023: 9612-9637 - [i24]Ge-Peng Ji, Deng-Ping Fan, Peng Xu, Ming-Ming Cheng, Bowen Zhou, Luc Van Gool:
SAM Struggles in Concealed Scenes - Empirical Study on "Segment Anything". CoRR abs/2304.06022 (2023) - [i23]Xuekai Zhu, Biqing Qi, Kaiyan Zhang, Xingwei Long, Bowen Zhou:
PaD: Program-aided Distillation Specializes Large Models in Reasoning. CoRR abs/2305.13888 (2023) - [i22]Ning Ding, Yulin Chen, Bokai Xu, Yujia Qin, Zhi Zheng, Shengding Hu, Zhiyuan Liu, Maosong Sun, Bowen Zhou:
Enhancing Chat Language Models by Scaling High-quality Instructional Conversations. CoRR abs/2305.14233 (2023) - [i21]Juan Wen, Shupeng Cheng, Peng Xu, Bowen Zhou, Radu Timofte, Weiyan Hou, Luc Van Gool:
When Super-Resolution Meets Camouflaged Object Detection: A Comparison Study. CoRR abs/2308.04370 (2023) - [i20]Yulin Chen, Ning Ding, Hai-Tao Zheng, Zhiyuan Liu, Maosong Sun, Bowen Zhou:
Empowering Private Tutoring by Chaining Large Language Models. CoRR abs/2309.08112 (2023) - [i19]Kaiyan Zhang, Ning Ding, Biqing Qi, Xuekai Zhu, Xinwei Long, Bowen Zhou:
CRaSh: Clustering, Removing, and Sharing Enhance Fine-tuning without Full Large Language Model. CoRR abs/2310.15477 (2023) - [i18]Biqing Qi, Kaiyan Zhang, Haoxiang Li, Kai Tian, Sihang Zeng, Zhang-Ren Chen, Bowen Zhou:
Large Language Models are Zero Shot Hypothesis Proposers. CoRR abs/2311.05965 (2023) - [i17]Ning Ding, Xingtai Lv, Qiaosen Wang, Yulin Chen, Bowen Zhou, Zhiyuan Liu, Maosong Sun:
Sparse Low-rank Adaptation of Pre-trained Language Models. CoRR abs/2311.11696 (2023) - [i16]Shupeng Cheng, Ge-Peng Ji, Pengda Qin, Deng-Ping Fan, Bowen Zhou, Peng Xu:
Large Model Based Referring Camouflaged Object Detection. CoRR abs/2311.17122 (2023) - [i15]Zhiyuan Ma, Zhihuan Yu, Jianjun Li, Bowen Zhou:
LMD: Faster Image Reconstruction with Latent Masking Diffusion. CoRR abs/2312.07971 (2023) - [i14]Zhiyuan Ma, Guoli Jia, Bowen Zhou:
AdapEdit: Spatio-Temporal Guided Adaptive Editing Algorithm for Text-Based Continuity-Sensitive Image Editing. CoRR abs/2312.08019 (2023)
2010 – 2019
- 2019
- [i13]Yu Cheng, Mo Yu, Xiaoxiao Guo, Bowen Zhou:
Few-shot Learning with Meta Metric Learners. CoRR abs/1901.09890 (2019) - 2018
- [c8]Shuohang Wang, Mo Yu, Xiaoxiao Guo, Zhiguo Wang, Tim Klinger, Wei Zhang, Shiyu Chang, Gerry Tesauro, Bowen Zhou, Jing Jiang:
R3: Reinforced Ranker-Reader for Open-Domain Question Answering. AAAI 2018: 5981-5988 - 2017
- [c7]Iulian Vlad Serban, Tim Klinger, Gerald Tesauro, Kartik Talamadupula, Bowen Zhou, Yoshua Bengio, Aaron C. Courville:
Multiresolution Recurrent Neural Networks: An Application to Dialogue Response Generation. AAAI 2017: 3288-3294 - [c6]Mo Yu, Wenpeng Yin, Kazi Saidul Hasan, Cícero Nogueira dos Santos, Bing Xiang, Bowen Zhou:
Improved Neural Relation Detection for Knowledge Base Question Answering. ACL (1) 2017: 571-581 - [c5]Wei Zhang, Minwei Feng, Yunhui Zheng, Yufei Ren, Yandong Wang, Ji Liu, Peng Liu, Bing Xiang, Li Zhang, Bowen Zhou, Fei Wang:
GaDei: On Scale-Up Training as a Service for Deep Learning. ICDM 2017: 1195-1200 - [c4]Zhouhan Lin, Minwei Feng, Cícero Nogueira dos Santos, Mo Yu, Bing Xiang, Bowen Zhou, Yoshua Bengio:
A Structured Self-Attentive Sentence Embedding. ICLR (Poster) 2017 - [i12]Zhouhan Lin, Minwei Feng, Cícero Nogueira dos Santos, Mo Yu, Bing Xiang, Bowen Zhou, Yoshua Bengio:
A Structured Self-attentive Sentence Embedding. CoRR abs/1703.03130 (2017) - [i11]Mo Yu, Wenpeng Yin, Kazi Saidul Hasan, Cícero Nogueira dos Santos, Bing Xiang, Bowen Zhou:
Improved Neural Relation Detection for Knowledge Base Question Answering. CoRR abs/1704.06194 (2017) - [i10]Shuohang Wang, Mo Yu, Xiaoxiao Guo, Zhiguo Wang, Tim Klinger, Wei Zhang, Shiyu Chang, Gerald Tesauro, Bowen Zhou, Jing Jiang:
R3: Reinforced Reader-Ranker for Open-Domain Question Answering. CoRR abs/1709.00023 (2017) - [i9]Wei Zhang, Bowen Zhou:
Learning to update Auto-associative Memory in Recurrent Neural Networks for Improving Sequence Memorization. CoRR abs/1709.06493 (2017) - 2016
- [j2]Wenpeng Yin, Hinrich Schütze, Bing Xiang, Bowen Zhou:
ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence Pairs. Trans. Assoc. Comput. Linguistics 4: 259-272 (2016) - [c3]Çaglar Gülçehre, Sungjin Ahn, Ramesh Nallapati, Bowen Zhou, Yoshua Bengio:
Pointing the Unknown Words. ACL (1) 2016 - [c2]Wenpeng Yin, Mo Yu, Bing Xiang, Bowen Zhou, Hinrich Schütze:
Simple Question Answering by Attentive Convolutional Neural Network. COLING 2016: 1746-1756 - [c1]Ramesh Nallapati, Bowen Zhou, Cícero Nogueira dos Santos, Çaglar Gülçehre, Bing Xiang:
Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond. CoNLL 2016: 280-290 - [i8]Çaglar Gülçehre, Sungjin Ahn, Ramesh Nallapati, Bowen Zhou, Yoshua Bengio:
Pointing the Unknown Words. CoRR abs/1603.08148 (2016) - [i7]Iulian Vlad Serban, Tim Klinger, Gerald Tesauro, Kartik Talamadupula, Bowen Zhou, Yoshua Bengio, Aaron C. Courville:
Multiresolution Recurrent Neural Networks: An Application to Dialogue Response Generation. CoRR abs/1606.00776 (2016) - [i6]Wenpeng Yin, Mo Yu, Bing Xiang, Bowen Zhou, Hinrich Schütze:
Simple Question Answering by Attentive Convolutional Neural Network. CoRR abs/1606.03391 (2016) - [i5]Yang Yu, Wei Zhang, Kazi Saidul Hasan, Mo Yu, Bing Xiang, Bowen Zhou:
End-to-End Reading Comprehension with Dynamic Answer Chunk Ranking. CoRR abs/1610.09996 (2016) - [i4]Wei Zhang, Minwei Feng, Yunhui Zheng, Yufei Ren, Yandong Wang, Ji Liu, Peng Liu, Bing Xiang, Li Zhang, Bowen Zhou:
GaDei: On Scale-up Training As A Service For Deep Learning. CoRR abs/1611.06213 (2016) - 2015
- [i3]Wei Zhang, Yang Yu, Bowen Zhou:
Structured Memory for Neural Turing Machines. CoRR abs/1510.03931 (2015) - [i2]Yang Yu, Wei Zhang, Chung-Wei Hang, Bowen Zhou:
Empirical Study on Deep Learning Models for Question Answering. CoRR abs/1510.07526 (2015) - [i1]Wenpeng Yin, Hinrich Schütze, Bing Xiang, Bowen Zhou:
ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence Pairs. CoRR abs/1512.05193 (2015) - 2013
- [j1]Bowen Zhou, Xiaodong Cui, Songfang Huang, Martin Cmejrek, Wei Zhang, Jian Xue, Jia Cui, Bing Xiang, Gregg Daggett, Upendra V. Chaudhari, Sameer Maskey, Etienne Marcheret:
The IBM speech-to-speech translation system for smartphone: Improvements for resource-constrained tasks. Comput. Speech Lang. 27(2): 592-618 (2013)
Coauthor Index
[j7] [c37] [c36] [c33] [c32] [c30] [i91] [i90] [i87] [i86] [i74] [i71] [i67] [i63] [j5] [j4] [c26] [c24] [c21] [c20] [c19] [c17] [c16] [c15] [c14] [c13] [c12] [i58] [i57] [i56] [i55] [i53] [i50] [i48] [i47] [i46] [i45] [i44] [i43] [i42] [i40] [i39] [i38] [i37] [i35] [i33] [i29] [i27] [i25] [c9] [i23] [i19] [i18]
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