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This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2025
[j3]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)- [c17]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 - [c16]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 - [c15]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 - [c14]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 - [c13]Ermo Hua, Che Jiang, Xingtai Lv, Kaiyan Zhang, Youbang Sun, Yuchen Fan, Xuekai Zhu, Biqing Qi, Ning Ding, Bowen Zhou:
Fourier Position Embedding: Enhancing Attention's Periodic Extension for Length Generalization. ICML 2025 - [c12]Lifan Yuan, Wendi Li, Huayu Chen, Ganqu Cui, Ning Ding, Kaiyan Zhang, Bowen Zhou, Zhiyuan Liu, Hao Peng:
Free Process Rewards without Process Labels. ICML 2025 - [c11]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? ICML 2025 - [c10]Yuxin Zuo, Shang Qu, Yifei Li, Zhang-Ren Chen, Xuekai Zhu, Ermo Hua, Kaiyan Zhang, Ning Ding, Bowen Zhou:
MedXpertQA: Benchmarking Expert-Level Medical Reasoning and Understanding. ICML 2025 - [i41]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) - [i40]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) - [i39]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) - [i38]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) - [i37]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) - [i36]Fangfu Liu, Hanyang Wang, Yimo Cai, Kaiyan Zhang, Xiaohang Zhan, Yueqi Duan:
Video-T1: Test-Time Scaling for Video Generation. CoRR abs/2503.18942 (2025) - [i35]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) - [i34]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) - [i33]Kaiyan Zhang, Xinghui Li, Jingyi Lu, Kai Han:
Semantic Correspondence: Unified Benchmarking and a Strong Baseline. CoRR abs/2505.18060 (2025) - [i32]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) - [i31]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) - [i30]Yilun Zhao, Kaiyan Zhang, Tiansheng Hu, Sihong Wu, Ronan Le Bras, Taira Anderson, Jonathan Bragg, Joseph Chee Chang, Jesse Dodge, Matt Latzke, Yixin Liu, Charles McGrady, Xiangru Tang, Zihang Wang, Chen Zhao, Hannaneh Hajishirzi, Doug Downey, Arman Cohan:
SciArena: An Open Evaluation Platform for Foundation Models in Scientific Literature Tasks. CoRR abs/2507.01001 (2025) - [i29]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) - [i28]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) - [i27]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) - [i26]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) - [i25]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) - [i24]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) - [i23]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) - [i22]Runze Liu, Jiakang Wang, Yuling Shi, Zhihui Xie, Chenxin An, Kaiyan Zhang, Jian Zhao, Xiaodong Gu, Lei Lin, Wenping Hu, Xiu Li, Fuzheng Zhang, Guorui Zhou, Kun Gai:
Attention as a Compass: Efficient Exploration for Process-Supervised RL in Reasoning Models. CoRR abs/2509.26628 (2025) - 2024
- [c9]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 - [c8]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 - [c7]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 - [c6]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 - [c5]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 - [c4]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 - [i21]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) - [i20]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) - [i19]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) - [i18]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) - [i17]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) - [i16]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) - [i15]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) - [i14]Kaiyan Zhang, Biqing Qi, Bowen Zhou:
Towards Building Specialized Generalist AI with System 1 and System 2 Fusion. CoRR abs/2407.08642 (2024) - [i13]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) - [i12]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) - [i11]Haoyu Song, Wei-Nan Zhang, Kaiyan Zhang, Ting Liu:
A Stack-Propagation Framework for Low-Resource Personalized Dialogue Generation. CoRR abs/2410.20174 (2024) - [i10]Wei-Nan Zhang, Yiming Cui, Kaiyan Zhang, Yifa Wang, Qingfu Zhu, Lingzhi Li, Ting Liu:
A Static and Dynamic Attention Framework for Multi Turn Dialogue Generation. CoRR abs/2410.20766 (2024) - [i9]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) - [i8]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) - [i7]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) - [i6]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) - [i5]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
- [j2]Weinan Zhang, Yiming Cui, Kaiyan Zhang, Yifa Wang, Qingfu Zhu, Lingzhi Li, Ting Liu:
A Static and Dynamic Attention Framework for Multi Turn Dialogue Generation. ACM Trans. Inf. Syst. 41(1): 15:1-15:30 (2023) - [j1]Haoyu Song, Wei-Nan Zhang, Kaiyan Zhang, Ting Liu:
A Stack-Propagation Framework for Low-Resource Personalized Dialogue Generation. ACM Trans. Inf. Syst. 41(3): 68:1-68:36 (2023) - [c3]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 - [c2]Dong Li, Kaiyan Zhang, Dongping Cao, Jing Shen, Run Kang, Qiankang Mao, Jiawei Chen:
Demo: Domino: A High-Precision Performance Monitoring and Analysis Platform for Client Applications. MobiSys 2023: 592-593 - [i4]Xuekai Zhu, Biqing Qi, Kaiyan Zhang, Xingwei Long, Bowen Zhou:
PaD: Program-aided Distillation Specializes Large Models in Reasoning. CoRR abs/2305.13888 (2023) - [i3]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) - [i2]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) - 2021
- [c1]Haoyu Song, Yan Wang, Kaiyan Zhang, Wei-Nan Zhang, Ting Liu:
BoB: BERT Over BERT for Training Persona-based Dialogue Models from Limited Personalized Data. ACL/IJCNLP (1) 2021: 167-177 - [i1]Haoyu Song, Yan Wang, Kaiyan Zhang, Wei-Nan Zhang, Ting Liu:
BoB: BERT Over BERT for Training Persona-based Dialogue Models from Limited Personalized Data. CoRR abs/2106.06169 (2021)
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