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2020 – today
- 2025
[c8]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- [c7]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 - [c6]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 - [c5]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 - [i18]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) - [i17]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) - [i16]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) - [i15]Hengli Li, Chenxi Li, Tong Wu, Xuekai Zhu, Yuxuan Wang, Zhaoxin Yu, Eric Hanchen Jiang, Song-Chun Zhu, Zixia Jia, Ying Nian Wu, Zilong Zheng:
Seek in the Dark: Reasoning via Test-Time Instance-Level Policy Gradient in Latent Space. CoRR abs/2505.13308 (2025) - [i14]Zhenjie Yang, Yilin Chai, Xiaosong Jia, Qifeng Li, Yuqian Shao, Xuekai Zhu, Haisheng Su, Junchi Yan:
DriveMoE: Mixture-of-Experts for Vision-Language-Action Model in End-to-End Autonomous Driving. CoRR abs/2505.16278 (2025) - [i13]Daixuan Cheng, Shaohan Huang, Xuekai Zhu, Bo Dai, Wayne Xin Zhao, Zhenliang Zhang, Furu Wei:
Reasoning with Exploration: An Entropy Perspective. CoRR abs/2506.14758 (2025) - [i12]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) - [i11]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) - [i10]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) - [i9]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) - [i8]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) - 2024
- [j3]Zhihui Yang, Juan Liu
, Feng Yang, Xiaolei Zhang, Qiang Zhang, Xuekai Zhu, Peng Jiang:
Advancing Drug-Target Interaction prediction with BERT and subsequence embedding. Comput. Biol. Chem. 110: 108058 (2024) - [c4]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 - [c3]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 - [i7]Xuekai Zhu, Yao Fu, Bowen Zhou, Zhouhan Lin:
Critical Data Size of Language Models from a Grokking Perspective. CoRR abs/2401.10463 (2024) - [i6]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) - [i5]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) - [i4]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]Xuekai Zhu, Juan Liu, Jian Zhang, Zhihui Yang, Feng Yang, Xiaolei Zhang:
FingerDTA: A Fingerprint-Embedding Framework for Drug-Target Binding Affinity Prediction. Big Data Min. Anal. 6(1): 1-10 (2023) - [j1]Zhihui Yang, Juan Liu, Xuekai Zhu, Feng Yang, Qiang Zhang, Hayat Ali Shah:
FragDPI: a novel drug-protein interaction prediction model based on fragment understanding and unified coding. Frontiers Comput. Sci. 17(5): 175903 (2023) - [c2]Xuekai Zhu, Jian Guan, Minlie Huang, Juan Liu:
StoryTrans: Non-Parallel Story Author-Style Transfer with Discourse Representations and Content Enhancing. ACL (1) 2023: 14803-14819 - [c1]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 - [i3]Xuekai Zhu, Biqing Qi, Kaiyan Zhang, Xingwei Long, Bowen Zhou:
PaD: Program-aided Distillation Specializes Large Models in Reasoning. CoRR abs/2305.13888 (2023) - [i2]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) - 2022
- [i1]Xuekai Zhu, Jian Guan, Minlie Huang, Juan Liu:
StoryTrans: Non-Parallel Story Author-Style Transfer with Discourse Representations and Content Enhancing. CoRR abs/2208.13423 (2022)
Coauthor Index
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