Zhipeng Chen

55 papers A* 6B 3Journal 36Unranked 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
Adaptive Ability Decomposing for Unlocking Large Reasoning Model Effective Reinforcement Learning.
CoRR
Zhipeng Chen, Xiaobo Qin, Wayne Xin Zhao, Youbin Wu, Ji-Rong Wen
2026 J jnl
ForesightKV: Optimizing KV Cache Eviction for Reasoning Models by Learning Long-Term Contribution.
CoRR
Zican Dong, Peiyu Liu, Junyi Li, Zhipeng Chen, Han Peng, Shuo Wang, Wayne Xin Zhao
2026 A* conf
Towards Effective Code-Integrated Reasoning.
AAAI
Fei Bai, Yingqian Min, Beichen Zhang, Zhipeng Chen, Xin Zhao, Lei Fang, Zheng Liu, Zhongyuan Wang, Hongteng Xu
2026 J jnl
Towards Effective Experiential Learning: Dual Guidance for Utilization and Internalization.
CoRR
Fei Bai, Zhipeng Chen, Chuan Hao, Ming-Hsuan Yang, Ran Tao, Bryan Dai, Wayne Xin Zhao, Jian Yang, Hongteng Xu
2025 J jnl
An Empirical Study on Eliciting and Improving R1-like Reasoning Models.
CoRR
Zhipeng Chen, Yingqian Min, Beichen Zhang, Jie Chen, Jinhao Jiang, Daixuan Cheng, Wayne Xin Zhao, Zheng Liu, Xu Miao, Yang Lu, Lei Fang, Zhongyuan Wang, Ji-Rong Wen
2025 J jnl
Challenging the Boundaries of Reasoning: An Olympiad-Level Math Benchmark for Large Language Models.
CoRR
Haoxiang Sun, Yingqian Min, Zhipeng Chen, Wayne Xin Zhao, Zheng Liu, Zhongyuan Wang, Lei Fang, Ji-Rong Wen
2025 J jnl
Decomposing the Entropy-Performance Exchange: The Missing Keys to Unlocking Effective Reinforcement Learning.
CoRR
Jia Deng, Jie Chen, Zhipeng Chen, Wayne Xin Zhao, Ji-Rong Wen
2025 A* conf
Extracting and Combining Abilities For Building Multi-lingual Ability-enhanced Large Language Models.
EMNLP
Zhipeng Chen, Kun Zhou, Liang Song, Wayne Xin Zhao, Bingning Wang, Weipeng Chen, Ji-Rong Wen
2025 J jnl
From Trial-and-Error to Improvement: A Systematic Analysis of LLM Exploration Mechanisms in RLVR.
CoRR
Jia Deng, Jie Chen, Zhipeng Chen, Daixuan Cheng, Fei Bai, Beichen Zhang, Yinqian Min, Yanzipeng Gao, Wayne Xin Zhao, Ji-Rong Wen
2025 J jnl
ICPC-Eval: Probing the Frontiers of LLM Reasoning with Competitive Programming Contests.
CoRR
Shiyi Xu, Yiwen Hu, Yingqian Min, Zhipeng Chen, Wayne Xin Zhao, Ji-Rong Wen
2025 J jnl
Pass@k Training for Adaptively Balancing Exploration and Exploitation of Large Reasoning Models.
CoRR
Zhipeng Chen, Xiaobo Qin, Youbin Wu, Yue Ling, Qinghao Ye, Wayne Xin Zhao, Guang Shi
2025 J jnl
R1-Searcher++: Incentivizing the Dynamic Knowledge Acquisition of LLMs via Reinforcement Learning.
CoRR
Huatong Song, Jinhao Jiang, Wenqing Tian, Zhipeng Chen, Yuhuan Wu, Jiahao Zhao, Yingqian Min, Wayne Xin Zhao, Lei Fang, Ji-Rong Wen
2025 J jnl
R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning.
CoRR
Huatong Song, Jinhao Jiang, Yingqian Min, Jie Chen, Zhipeng Chen, Wayne Xin Zhao, Lei Fang, Ji-Rong Wen
2025 — conf
Smart-Searcher: Incentivizing the Dynamic Knowledge Acquisition of LLMs via Reinforcement Learning.
EMNLP (Findings)
Huatong Song, Jinhao Jiang, Wenqing Tian, Zhipeng Chen, Yuhuan Wu, Jiahao Zhao, Yingqian Min, Xin Zhao, Lei Fang, Ji-Rong Wen
2025 J jnl
Towards Effective Code-Integrated Reasoning.
CoRR
Fei Bai, Yingqian Min, Beichen Zhang, Zhipeng Chen, Wayne Xin Zhao, Lei Fang, Zheng Liu, Zhongyuan Wang, Ji-Rong Wen
2025 — conf
Towards Effective and Efficient Continual Pre-training of Large Language Models.
ACL (1)
Jie Chen, Zhipeng Chen, Jiapeng Wang, Kun Zhou, Yutao Zhu, Jinhao Jiang, Yingqian Min, Xin Zhao, Zhicheng Dou, Jiaxin Mao, Yankai Lin, Ruihua Song, Jun Xu, Xu Chen, Rui Yan, Zhewei Wei, Di Hu, Wenbing Huang, Ji-Rong Wen
2024 J jnl
Extracting and Transferring Abilities For Building Multi-lingual Ability-enhanced Large Language Models.
CoRR
Zhipeng Chen, Liang Song, Kun Zhou, Wayne Xin Zhao, Bingning Wang, Weipeng Chen, Ji-Rong Wen
2024 J jnl
Imitate, Explore, and Self-Improve: A Reproduction Report on Slow-thinking Reasoning Systems.
CoRR
Yingqian Min, Zhipeng Chen, Jinhao Jiang, Jie Chen, Jia Deng, Yiwen Hu, Yiru Tang, Jiapeng Wang, Xiaoxue Cheng, Huatong Song, Wayne Xin Zhao, Zheng Liu, Zhongyuan Wang, Ji-Rong Wen
2024 — conf
Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint.
ACL (Findings)
Zhipeng Chen, Kun Zhou, Xin Zhao, Junchen Wan, Fuzheng Zhang, Di Zhang, Ji-Rong Wen
2024 J jnl
Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint.
CoRR
Zhipeng Chen, Kun Zhou, Wayne Xin Zhao, Junchen Wan, Fuzheng Zhang, Di Zhang, Ji-Rong Wen
2024 A* conf
JiuZhang3.0: Efficiently Improving Mathematical Reasoning by Training Small Data Synthesis Models.
NeurIPS
Kun Zhou, Beichen Zhang, Jiapeng Wang, Zhipeng Chen, Xin Zhao, Jing Sha, Zhichao Sheng, Shijin Wang, Ji-Rong Wen
2024 J jnl
JiuZhang3.0: Efficiently Improving Mathematical Reasoning by Training Small Data Synthesis Models.
CoRR
Kun Zhou, Beichen Zhang, Jiapeng Wang, Zhipeng Chen, Wayne Xin Zhao, Jing Sha, Zhichao Sheng, Shijin Wang, Ji-Rong Wen
2024 J jnl
Low-Redundant Optimization for Large Language Model Alignment.
CoRR
Zhipeng Chen, Kun Zhou, Wayne Xin Zhao, Jingyuan Wang, Ji-Rong Wen
2024 A* conf
Not Everything is All You Need: Toward Low-Redundant Optimization for Large Language Model Alignment.
EMNLP
Zhipeng Chen, Kun Zhou, Xin Zhao, Jingyuan Wang, Ji-Rong Wen
2024 J jnl
Technical Report: Enhancing LLM Reasoning with Reward-guided Tree Search.
CoRR
Jinhao Jiang, Zhipeng Chen, Yingqian Min, Jie Chen, Xiaoxue Cheng, Jiapeng Wang, Yiru Tang, Haoxiang Sun, Jia Deng, Wayne Xin Zhao, Zheng Liu, Dong Yan, Jian Xie, Zhongyuan Wang, Ji-Rong Wen
2024 J jnl
Towards Effective and Efficient Continual Pre-training of Large Language Models.
CoRR
Jie Chen, Zhipeng Chen, Jiapeng Wang, Kun Zhou, Yutao Zhu, Jinhao Jiang, Yingqian Min, Wayne Xin Zhao, Zhicheng Dou, Jiaxin Mao, Yankai Lin, Ruihua Song, Jun Xu, Xu Chen, Rui Yan, Zhewei Wei, Di Hu, Wenbing Huang, Ji-Rong Wen
2024 J jnl
YuLan: An Open-source Large Language Model.
CoRR
Yutao Zhu, Kun Zhou, Kelong Mao, Wentong Chen, Yiding Sun, Zhipeng Chen, Qian Cao, Yihan Wu, Yushuo Chen, Feng Wang, Lei Zhang, Junyi Li, Xiaolei Wang, Lei Wang, Beichen Zhang, Zican Dong, Xiaoxue Cheng, Yuhan Chen, Xinyu Tang, Yupeng Hou, Qiangqiang Ren, Xincheng Pang, Shufang Xie, Wayne Xin Zhao, Zhicheng Dou, Jiaxin Mao, Yankai Lin, Ruihua Song, Jun Xu, Xu Chen, Rui Yan, Zhewei Wei, Di Hu, Wenbing Huang, Ze-Feng Gao, Yueguo Chen, Weizheng Lu, Ji-Rong Wen
2023 J jnl
A Survey of Large Language Models.
CoRR
Wayne Xin Zhao, Kun Zhou, Junyi Li, Tianyi Tang, Xiaolei Wang, Yupeng Hou, Yingqian Min, Beichen Zhang, Junjie Zhang, Zican Dong, Yifan Du, Chen Yang, Yushuo Chen, Zhipeng Chen, Jinhao Jiang, Ruiyang Ren, Yifan Li, Xinyu Tang, Zikang Liu, Peiyu Liu, Jian-Yun Nie, Ji-Rong Wen
2023 — conf
ChatCoT: Tool-Augmented Chain-of-Thought Reasoning on Chat-based Large Language Models.
EMNLP (Findings)
Zhipeng Chen, Kun Zhou, Beichen Zhang, Zheng Gong, Xin Zhao, Ji-Rong Wen
2023 J jnl
ChatCoT: Tool-Augmented Chain-of-Thought Reasoning on Chat-based Large Language Models.
CoRR
Zhipeng Chen, Kun Zhou, Beichen Zhang, Zheng Gong, Wayne Xin Zhao, Ji-Rong Wen
2023 J jnl
Don't Make Your LLM an Evaluation Benchmark Cheater.
CoRR
Kun Zhou, Yutao Zhu, Zhipeng Chen, Wentong Chen, Wayne Xin Zhao, Xu Chen, Yankai Lin, Ji-Rong Wen, Jiawei Han
2023 A* conf
JiuZhang 2.0: A Unified Chinese Pre-trained Language Model for Multi-task Mathematical Problem Solving.
KDD
Xin Zhao, Kun Zhou, Beichen Zhang, Zheng Gong, Zhipeng Chen, Yuanhang Zhou, Ji-Rong Wen, Jing Sha, Shijin Wang, Cong Liu, Guoping Hu
2023 J jnl
JiuZhang 2.0: A Unified Chinese Pre-trained Language Model for Multi-task Mathematical Problem Solving.
CoRR
Wayne Xin Zhao, Kun Zhou, Beichen Zhang, Zheng Gong, Zhipeng Chen, Yuanhang Zhou, Ji-Rong Wen, Jing Sha, Shijin Wang, Cong Liu, Guoping Hu
2022 J jnl
Augmented and challenging datasets with multi-step reasoning and multi-span questions for Chinese judicial reading comprehension.
AI Open
Qingye Meng, Ziyue Wang, Hang Chen, Xianzhen Luo, Baoxin Wang, Zhipeng Chen, Yiming Cui, Dayong Wu, Zhigang Chen, Shijin Wang
2022 — conf
ElitePLM: An Empirical Study on General Language Ability Evaluation of Pretrained Language Models.
NAACL-HLT
Junyi Li, Tianyi Tang, Zheng Gong, Lixin Yang, Zhuohao Yu, Zhipeng Chen, Jingyuan Wang, Xin Zhao, Ji-Rong Wen
2022 J jnl
ElitePLM: An Empirical Study on General Language Ability Evaluation of Pretrained Language Models.
CoRR
Junyi Li, Tianyi Tang, Zheng Gong, Lixin Yang, Zhuohao Yu, Zhipeng Chen, Jingyuan Wang, Wayne Xin Zhao, Ji-Rong Wen
2022 — conf
TextBox 2.0: A Text Generation Library with Pre-trained Language Models.
EMNLP (Demos)
Tianyi Tang, Junyi Li, Zhipeng Chen, Yiwen Hu, Zhuohao Yu, Wenxun Dai, Wayne Xin Zhao, Jian-Yun Nie, Ji-Rong Wen
2022 J jnl
TextBox 2.0: A Text Generation Library with Pre-trained Language Models.
CoRR
Tianyi Tang, Junyi Li, Zhipeng Chen, Yiwen Hu, Zhuohao Yu, Wenxun Dai, Zican Dong, Xiaoxue Cheng, Yuhao Wang, Wayne Xin Zhao, Jian-Yun Nie, Ji-Rong Wen
2021 — conf
TextBox: A Unified, Modularized, and Extensible Framework for Text Generation.
ACL (demo)
Junyi Li, Tianyi Tang, Gaole He, Jinhao Jiang, Xiaoxuan Hu, Puzhao Xie, Zhipeng Chen, Zhuohao Yu, Wayne Xin Zhao, Ji-Rong Wen
2020 B conf
A Sentence Cloze Dataset for Chinese Machine Reading Comprehension.
COLING
Yiming Cui, Ting Liu, Ziqing Yang, Zhipeng Chen, Wentao Ma, Wanxiang Che, Shijin Wang, Guoping Hu
2020 J jnl
A Sentence Cloze Dataset for Chinese Machine Reading Comprehension.
CoRR
Yiming Cui, Ting Liu, Ziqing Yang, Zhipeng Chen, Wentao Ma, Wanxiang Che, Shijin Wang, Guoping Hu
2020 — conf
TextBrewer: An Open-Source Knowledge Distillation Toolkit for Natural Language Processing.
ACL (demo)
Ziqing Yang, Yiming Cui, Zhipeng Chen, Wanxiang Che, Ting Liu, Shijin Wang, Guoping Hu
2020 J jnl
TextBrewer: An Open-Source Knowledge Distillation Toolkit for Natural Language Processing.
CoRR
Ziqing Yang, Yiming Cui, Zhipeng Chen, Wanxiang Che, Ting Liu, Shijin Wang, Guoping Hu
2019 — conf
A Span-Extraction Dataset for Chinese Machine Reading Comprehension.
EMNLP/IJCNLP (1)
Yiming Cui, Ting Liu, Wanxiang Che, Li Xiao, Zhipeng Chen, Wentao Ma, Shijin Wang, Guoping Hu
2019 J jnl
Contextual Recurrent Units for Cloze-style Reading Comprehension.
CoRR
Yiming Cui, Wei-Nan Zhang, Wanxiang Che, Ting Liu, Zhipeng Chen, Shijin Wang, Guoping Hu
2019 A* conf
Convolutional Spatial Attention Model for Reading Comprehension with Multiple-Choice Questions.
AAAI
Zhipeng Chen, Yiming Cui, Wentao Ma, Shijin Wang, Guoping Hu
2018 J jnl
A Span-Extraction Dataset for Chinese Machine Reading Comprehension.
CoRR
Yiming Cui, Ting Liu, Li Xiao, Zhipeng Chen, Wentao Ma, Wanxiang Che, Shijin Wang, Guoping Hu
2018 J jnl
Convolutional Spatial Attention Model for Reading Comprehension with Multiple-Choice Questions.
CoRR
Zhipeng Chen, Yiming Cui, Wentao Ma, Shijin Wang, Guoping Hu
2018 B conf
Dataset for the First Evaluation on Chinese Machine Reading Comprehension.
LREC
Yiming Cui, Ting Liu, Zhipeng Chen, Wentao Ma, Shijin Wang, Guoping Hu
2018 J jnl
HFL-RC System at SemEval-2018 Task 11: Hybrid Multi-Aspects Model for Commonsense Reading Comprehension.
CoRR
Zhipeng Chen, Yiming Cui, Wentao Ma, Shijin Wang, Ting Liu, Guoping Hu
2017 — conf
Attention-over-Attention Neural Networks for Reading Comprehension.
ACL (1)
Yiming Cui, Zhipeng Chen, Si Wei, Shijin Wang, Ting Liu, Guoping Hu
2017 J jnl
Dataset for the First Evaluation on Chinese Machine Reading Comprehension.
CoRR
Yiming Cui, Ting Liu, Zhipeng Chen, Wentao Ma, Shijin Wang, Guoping Hu
2016 J jnl
Attention-over-Attention Neural Networks for Reading Comprehension.
CoRR
Yiming Cui, Zhipeng Chen, Si Wei, Shijin Wang, Ting Liu, Guoping Hu
2016 B conf
Consensus Attention-based Neural Networks for Chinese Reading Comprehension.
COLING
Yiming Cui, Ting Liu, Zhipeng Chen, Shijin Wang, Guoping Hu
2016 J jnl
Consensus Attention-based Neural Networks for Chinese Reading Comprehension.
CoRR
Yiming Cui, Ting Liu, Zhipeng Chen, Shijin Wang, Guoping Hu