Kaiyan Zhang

According to our database, Kaiyan Zhang authored at least 48 papers between 2021 and 2025.

Collaborative distances:

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

2025

Efficient Diffusion Models: A Comprehensive Survey From Principles to Practices.

Zhiyuan Ma, Yuzhu Zhang, Guoli Jia, Liangliang Zhao, Yichao Ma, Mingjie Ma, Gaofeng Liu, Kaiyan Zhang, Ning Ding, Jianjun Li, Bowen Zhou

IEEE Trans. Pattern Anal. Mach. Intell., September, 2025

Attention as a Compass: Efficient Exploration for Process-Supervised RL in Reasoning Models.

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

CoRR, September, 2025

FlowRL: Matching Reward Distributions for LLM Reasoning.

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

CoRR, September, 2025

SimpleVLA-RL: Scaling VLA Training via Reinforcement Learning.

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

CoRR, September, 2025

A Survey of Reinforcement Learning for Large Reasoning Models.

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

CoRR, September, 2025

AdsQA: Towards Advertisement Video Understanding.

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

CoRR, September, 2025

Towards a Unified View of Large Language Model Post-Training.

Xingtai Lv, Yuxin Zuo, Youbang Sun, Hongyi Liu, Yuntian Wei, Zhekai Chen, Lixuan He, Xuekai Zhu, Kaiyan Zhang, Bingning Wang, Ning Ding, Bowen Zhou

CoRR, September, 2025

SSRL: Self-Search Reinforcement Learning.

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

CoRR, August, 2025

ReviewRL: Towards Automated Scientific Review with RL.

Sihang Zeng, Kai Tian, Kaiyan Zhang, Yuru wang, Junqi Gao, Runze Liu, Sa Yang, Jingxuan Li, Xinwei Long, Jiaheng Ma, Biqing Qi, Bowen Zhou

CoRR, August, 2025

SciArena: An Open Evaluation Platform for Foundation Models in Scientific Literature Tasks.

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

CoRR, July, 2025

Automating Exploratory Multiomics Research via Language Models.

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

CoRR, June, 2025

Self-Reflective Reinforcement Learning for Diffusion-based Image Reasoning Generation.

Jiadong Pan, Zhiyuan Ma, Kaiyan Zhang, Ning Ding, Bowen Zhou

CoRR, May, 2025

Semantic Correspondence: Unified Benchmarking and a Strong Baseline.

Kaiyan Zhang, Xinghui Li, Jingyi Lu, Kai Han

CoRR, May, 2025

TTRL: Test-Time Reinforcement Learning.

Yuxin Zuo, Kaiyan Zhang, Shang Qu, Li Sheng, Xuekai Zhu, Biqing Qi, Youbang Sun, Ganqu Cui, Ning Ding, Bowen Zhou

CoRR, April, 2025

GenPRM: Scaling Test-Time Compute of Process Reward Models via Generative Reasoning.

Jian Zhao, Runze Liu, Kaiyan Zhang, Zhimu Zhou, Junqi Gao, Dong Li, Jiafei Lyu, Zhouyi Qian, Biqing Qi, Xiu Li, Bowen Zhou

CoRR, April, 2025

Video-T1: Test-Time Scaling for Video Generation.

Fangfu Liu, Hanyang Wang, Yimo Cai, Kaiyan Zhang, Xiaohang Zhan, Yueqi Duan

CoRR, March, 2025

Technologies on Effectiveness and Efficiency: A Survey of State Spaces Models.

Xingtai Lv, Youbang Sun, Kaiyan Zhang, Shang Qu, Xuekai Zhu, Yuchen Fan, Yi Wu, Ermo Hua, Xinwei Long, Ning Ding, Bowen Zhou

CoRR, March, 2025

Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time Scaling.

Runze Liu, Junqi Gao, Jian Zhao, Kaiyan Zhang, Xiu Li, Biqing Qi, Wanli Ouyang, Bowen Zhou

CoRR, February, 2025

Process Reinforcement through Implicit Rewards.

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

CoRR, February, 2025

MedXpertQA: Benchmarking Expert-Level Medical Reasoning and Understanding.

Yuxin Zuo, Shang Qu, Yifei Li, Zhang-Ren Chen, Xuekai Zhu, Ermo Hua, Kaiyan Zhang, Ning Ding, Bowen Zhou

Proceedings of the Forty-second International Conference on Machine Learning, 2025

How to Synthesize Text Data without Model Collapse?

Xuekai Zhu, Daixuan Cheng, Hengli Li, Kaiyan Zhang, Ermo Hua, Xingtai Lv, Ning Ding, Zhouhan Lin, Zilong Zheng, Bowen Zhou

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Free Process Rewards without Process Labels.

Lifan Yuan, Wendi Li, Huayu Chen, Ganqu Cui, Ning Ding, Kaiyan Zhang, Bowen Zhou, Zhiyuan Liu, Hao Peng

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Fourier Position Embedding: Enhancing Attention's Periodic Extension for Length Generalization.

Ermo Hua, Che Jiang, Xingtai Lv, Kaiyan Zhang, Youbang Sun, Yuchen Fan, Xuekai Zhu, Biqing Qi, Ning Ding, Bowen Zhou

Proceedings of the Forty-second International Conference on Machine Learning, 2025

OpenPRM: Building Open-domain Process-based Reward Models with Preference Trees.

Kaiyan Zhang, Jiayuan Zhang, Haoxin Li, Xuekai Zhu, Ermo Hua, Xingtai Lv, Ning Ding, Biqing Qi, Bowen Zhou

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Intuitive Fine-Tuning: Towards Simplifying Alignment into a Single Process.

Ermo Hua, Biqing Qi, Kaiyan Zhang, Kai Tian, Xingtai Lv, Ning Ding, Bowen Zhou

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Fusing Highly Specialized Language Models for Comprehensive Expertise.

Ning Ding, Yulin Chen, Ganqu Cui, Xingtai Lv, Weilin Zhao, Kaiyan Zhang, Ruobing Xie, Bowen Zhou, Zhiyuan Liu, Maosong Sun

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Retrieval-Augmented Visual Question Answering via Built-in Autoregressive Search Engines.

Xinwei Long, Zhiyuan Ma, Ermo Hua, Kaiyan Zhang, Biqing Qi, Bowen Zhou

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Evolution of Thought: Diverse and High-Quality Reasoning via Multi-Objective Optimization.

Biqing Qi, Zhouyi Qian, Yiang Luo, Junqi Gao, Dong Li, Kaiyan Zhang, Bowen Zhou

CoRR, 2024

Automating Exploratory Proteomics Research via Language Models.

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

CoRR, 2024

Efficient Diffusion Models: A Comprehensive Survey from Principles to Practices.

Zhiyuan Ma, Yuzhu Zhang, Guoli Jia, Liangliang Zhao, Yichao Ma, Mingjie Ma, Gaofeng Liu, Kaiyan Zhang, Jianjun Li, Bowen Zhou

CoRR, 2024

Large Language Models as Biomedical Hypothesis Generators: A Comprehensive Evaluation.

Biqing Qi, Kaiyan Zhang, Kai Tian, Haoxiang Li, Zhang-Ren Chen, Sihang Zeng, Ermo Hua, Jinfang Hu, Bowen Zhou

CoRR, 2024

Towards Building Specialized Generalist AI with System 1 and System 2 Fusion.

Kaiyan Zhang, Biqing Qi, Bowen Zhou

CoRR, 2024

Fast and Slow Generating: An Empirical Study on Large and Small Language Models Collaborative Decoding.

Kaiyan Zhang, Jianyu Wang, Ning Ding, Biqing Qi, Ermo Hua, Xingtai Lv, Bowen Zhou

CoRR, 2024

Online DPO: Online Direct Preference Optimization with Fast-Slow Chasing.

Biqing Qi, Pengfei Li, Fangyuan Li, Junqi Gao, Kaiyan Zhang, Bowen Zhou

CoRR, 2024

Intuitive Fine-Tuning: Towards Simplifying Alignment into a Single Process.

Ermo Hua, Biqing Qi, Kaiyan Zhang, Yue Yu, Ning Ding, Xingtai Lv, Kai Tian, Bowen Zhou

CoRR, 2024

UltraMedical: Building Specialized Generalists in Biomedicine.

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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

PaD: Program-aided Distillation Can Teach Small Models Reasoning Better than Chain-of-thought Fine-tuning.

Xuekai Zhu, Biqing Qi, Kaiyan Zhang, Xinwei Long, Zhouhan Lin, Bowen Zhou

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

Scalable Efficient Training of Large Language Models with Low-dimensional Projected Attention.

Xingtai Lv, Ning Ding, Kaiyan Zhang, Ermo Hua, Ganqu Cui, Bowen Zhou

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

CoGenesis: A Framework Collaborating Large and Small Language Models for Secure Context-Aware Instruction Following.

Kaiyan Zhang, Jianyu Wang, Ermo Hua, Biqing Qi, Ning Ding, Bowen Zhou

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

SMR: State Memory Replay for Long Sequence Modeling.

Biqing Qi, Junqi Gao, Kaiyan Zhang, Dong Li, Jianxing Liu, Ligang Wu, Bowen Zhou

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

Generative Multi-Modal Knowledge Retrieval with Large Language Models.

Xinwei Long, Jiali Zeng, Fandong Meng, Zhiyuan Ma, Kaiyan Zhang, Bowen Zhou, Jie Zhou

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

A Static and Dynamic Attention Framework for Multi Turn Dialogue Generation.

Weinan Zhang, Yiming Cui, Kaiyan Zhang, Yifa Wang, Qingfu Zhu, Lingzhi Li, Ting Liu

ACM Trans. Inf. Syst., January, 2023

A Stack-Propagation Framework for Low-Resource Personalized Dialogue Generation.

Haoyu Song, Wei-Nan Zhang, Kaiyan Zhang, Ting Liu

ACM Trans. Inf. Syst., 2023

Large Language Models are Zero Shot Hypothesis Proposers.

Biqing Qi, Kaiyan Zhang, Haoxiang Li, Kai Tian, Sihang Zeng, Zhang-Ren Chen, Bowen Zhou

CoRR, 2023

PaD: Program-aided Distillation Specializes Large Models in Reasoning.

Xuekai Zhu, Biqing Qi, Kaiyan Zhang, Xingwei Long, Bowen Zhou

CoRR, 2023

Demo: Domino: A High-Precision Performance Monitoring and Analysis Platform for Client Applications.

Dong Li, Kaiyan Zhang, Dongping Cao, Jing Shen, Run Kang, Qiankang Mao, Jiawei Chen

Proceedings of the 21st Annual International Conference on Mobile Systems, 2023

CRaSh: Clustering, Removing, and Sharing Enhance Fine-tuning without Full Large Language Model.

Kaiyan Zhang, Ning Ding, Biqing Qi, Xuekai Zhu, Xinwei Long, Bowen Zhou

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2021

BoB: BERT Over BERT for Training Persona-based Dialogue Models from Limited Personalized Data.

Haoyu Song, Yan Wang, Kaiyan Zhang, Wei-Nan Zhang, Ting Liu

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021