Consensus Attention-based Neural Networks for Chinese Reading Comprehension. - Yiming Cui 001; Ting Liu 001; Zhipeng Chen 001; Shijin Wang 001; Guoping Hu (COLING, 2016)

Attention-over-Attention Neural Networks for Reading Comprehension. - Yiming Cui 001; Zhipeng Chen 001; Si Wei; Shijin Wang 001; Ting Liu 001; Guoping Hu (ACL (1), 2017)

Dataset for the First Evaluation on Chinese Machine Reading Comprehension. - Yiming Cui 001; Ting Liu 001; Zhipeng Chen 001; Wentao Ma; Shijin Wang 001; Guoping Hu (LREC, 2018)

HFL-RC System at SemEval-2018 Task 11: Hybrid Multi-Aspects Model for Commonsense Reading Comprehension. - Zhipeng Chen 001; Yiming Cui 001; Wentao Ma; Shijin Wang 001; Ting Liu 001; Guoping Hu (CoRR, 2018)

Convolutional Spatial Attention Model for Reading Comprehension with Multiple-Choice Questions. - Zhipeng Chen 001; Yiming Cui 001; Wentao Ma; Shijin Wang 001; Guoping Hu (AAAI, 2019)

A Span-Extraction Dataset for Chinese Machine Reading Comprehension. - Yiming Cui 001; Ting Liu 001; Wanxiang Che; Li Xiao; Zhipeng Chen 001; Wentao Ma; Shijin Wang 001; Guoping Hu (EMNLP/IJCNLP (1), 2019)

Contextual Recurrent Units for Cloze-style Reading Comprehension. - Yiming Cui 001; Wei-Nan Zhang 003; Wanxiang Che; Ting Liu 001; Zhipeng Chen 001; Shijin Wang 001; Guoping Hu (CoRR, 2019)

TextBrewer: An Open-Source Knowledge Distillation Toolkit for Natural Language Processing. - Ziqing Yang 001; Yiming Cui 001; Zhipeng Chen 001; Wanxiang Che; Ting Liu 001; Shijin Wang 001; Guoping Hu (ACL (demo), 2020)

A Sentence Cloze Dataset for Chinese Machine Reading Comprehension. - Yiming Cui 001; Ting Liu 001; Ziqing Yang 001; Zhipeng Chen 001; Wentao Ma; Wanxiang Che; Shijin Wang 001; Guoping Hu (COLING, 2020)

TextBox: A Unified, Modularized, and Extensible Framework for Text Generation. - Junyi Li; Tianyi Tang; Gaole He; Jinhao Jiang; Xiaoxuan Hu; Puzhao Xie; Zhipeng Chen 001; Zhuohao Yu 001; Wayne Xin Zhao; Ji-Rong Wen (ACL (demo), 2021)

TextBox 2.0: A Text Generation Library with Pre-trained Language Models. - Tianyi Tang; Junyi Li; Zhipeng Chen 001; Yiwen Hu; Zhuohao Yu 001; Wenxun Dai; Wayne Xin Zhao; Jian-Yun Nie; Ji-Rong Wen (EMNLP (Demos), 2022)

ElitePLM: An Empirical Study on General Language Ability Evaluation of Pretrained Language Models. - Junyi Li; Tianyi Tang; Zheng Gong 001; Lixin Yang 005; Zhuohao Yu 001; Zhipeng Chen 001; Jingyuan Wang 001; Xin Zhao 018; Ji-Rong Wen (NAACL-HLT, 2022)

TextBox 2.0: A Text Generation Library with Pre-trained Language Models. - Tianyi Tang; Junyi Li; Zhipeng Chen 001; Yiwen Hu; Zhuohao Yu 001; Wenxun Dai; Zican Dong; Xiaoxue Cheng; Yuhao Wang 007; Wayne Xin Zhao; Jian-Yun Nie; Ji-Rong Wen (CoRR, 2022)

Augmented and challenging datasets with multi-step reasoning and multi-span questions for Chinese judicial reading comprehension. - Qingye Meng; Ziyue Wang 002; Hang Chen; Xianzhen Luo; Baoxin Wang; Zhipeng Chen 001; Yiming Cui 001; Dayong Wu; Zhigang Chen 003; Shijin Wang 001 (AI Open, 2022)

ChatCoT: Tool-Augmented Chain-of-Thought Reasoning on Chat-based Large Language Models. - Zhipeng Chen 001; Kun Zhou 002; Beichen Zhang; Zheng Gong 001; Xin Zhao 018; Ji-Rong Wen (EMNLP (Findings), 2023)

JiuZhang 2.0: A Unified Chinese Pre-trained Language Model for Multi-task Mathematical Problem Solving. - Xin Zhao 018; Kun Zhou 002; Beichen Zhang; Zheng Gong 001; Zhipeng Chen 001; Yuanhang Zhou; Ji-Rong Wen; Jing Sha; Shijin Wang 001; Cong Liu 006; Guoping Hu (KDD, 2023)

A Survey of Large Language Models. - Wayne Xin Zhao; Kun Zhou 002; Junyi Li; Tianyi Tang; Xiaolei Wang 005; Yupeng Hou; Yingqian Min; Beichen Zhang; Junjie Zhang 009; Zican Dong; Yifan Du 002; Chen Yang; et al. (CoRR, 2023)

Don't Make Your LLM an Evaluation Benchmark Cheater. - Kun Zhou 002; Yutao Zhu 001; Zhipeng Chen 001; Wentong Chen; Wayne Xin Zhao; Xu Chen 017; Yankai Lin; Ji-Rong Wen; Jiawei Han (CoRR, 2023)

Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint. - Zhipeng Chen 001; Kun Zhou 002; Xin Zhao 018; Junchen Wan; Fuzheng Zhang; Di Zhang; Ji-Rong Wen (ACL (Findings), 2024)

Not Everything is All You Need: Toward Low-Redundant Optimization for Large Language Model Alignment. - Zhipeng Chen 001; Kun Zhou 002; Xin Zhao 018; Jingyuan Wang 001; Ji-Rong Wen (EMNLP, 2024)

JiuZhang3.0: Efficiently Improving Mathematical Reasoning by Training Small Data Synthesis Models. - Kun Zhou 002; Beichen Zhang; Jiapeng Wang; Zhipeng Chen 001; Xin Zhao 018; Jing Sha; Zhichao Sheng; Shijin Wang 001; Ji-Rong Wen (NeurIPS, 2024)

Low-Redundant Optimization for Large Language Model Alignment. - Zhipeng Chen 001; Kun Zhou 002; Wayne Xin Zhao; Jingyuan Wang 001; Ji-Rong Wen (CoRR, 2024)

YuLan: An Open-source Large Language Model. - Yutao Zhu 001; Kun Zhou 002; Kelong Mao; Wentong Chen; Yiding Sun; Zhipeng Chen 001; Qian Cao 001; Yihan Wu; Yushuo Chen; Feng Wang; Lei Zhang; Junyi Li; et al. (CoRR, 2024)

Extracting and Transferring Abilities For Building Multi-lingual Ability-enhanced Large Language Models. - Zhipeng Chen 001; Liang Song; Kun Zhou 002; Wayne Xin Zhao; Bingning Wang; Weipeng Chen; Ji-Rong Wen (CoRR, 2024)

Technical Report: Enhancing LLM Reasoning with Reward-guided Tree Search. - Jinhao Jiang; Zhipeng Chen 001; Yingqian Min; Jie Chen 007; Xiaoxue Cheng; Jiapeng Wang; Yiru Tang; Haoxiang Sun; Jia Deng; Wayne Xin Zhao; Zheng Liu 011; Dong Yan; et al. (CoRR, 2024)

Imitate, Explore, and Self-Improve: A Reproduction Report on Slow-thinking Reasoning Systems. - Yingqian Min; Zhipeng Chen 001; Jinhao Jiang; Jie Chen 007; Jia Deng; Yiwen Hu; Yiru Tang; Jiapeng Wang; Xiaoxue Cheng; Huatong Song; Wayne Xin Zhao; Zheng Liu 011; et al. (CoRR, 2024)

Towards Effective and Efficient Continual Pre-training of Large Language Models. - Jie Chen 007; Zhipeng Chen 001; Jiapeng Wang; Kun Zhou 002; Yutao Zhu 001; Jinhao Jiang; Yingqian Min; Xin Zhao 018; Zhicheng Dou; Jiaxin Mao; Yankai Lin; Ruihua Song; et al. (ACL (1), 2025)

An Empirical Study on Eliciting and Improving R1-like Reasoning Models. - Zhipeng Chen 001; Yingqian Min; Beichen Zhang; Jie Chen 007; Jinhao Jiang; Daixuan Cheng; Wayne Xin Zhao; Zheng Liu 011; Xu Miao; Yang Lu; Lei Fang; Zhongyuan Wang 006; et al. (CoRR, 2025)

R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning. - Huatong Song; Jinhao Jiang; Yingqian Min; Jie Chen 007; Zhipeng Chen 001; Wayne Xin Zhao; Lei Fang; Ji-Rong Wen (CoRR, 2025)

Challenging the Boundaries of Reasoning: An Olympiad-Level Math Benchmark for Large Language Models. - Haoxiang Sun; Yingqian Min; Zhipeng Chen 001; Wayne Xin Zhao; Zheng Liu 011; Zhongyuan Wang 006; Lei Fang; Ji-Rong Wen (CoRR, 2025)

R1-Searcher++: Incentivizing the Dynamic Knowledge Acquisition of LLMs via Reinforcement Learning. - Huatong Song; Jinhao Jiang; Wenqing Tian; Zhipeng Chen 001; Yuhuan Wu; Jiahao Zhao; Yingqian Min; Wayne Xin Zhao; Lei Fang; Ji-Rong Wen (CoRR, 2025)

Towards Effective Code-Integrated Reasoning. - Fei Bai; Yingqian Min; Beichen Zhang; Zhipeng Chen 001; Wayne Xin Zhao; Lei Fang; Zheng Liu 011; Zhongyuan Wang 006; Ji-Rong Wen (CoRR, 2025)

ICPC-Eval: Probing the Frontiers of LLM Reasoning with Competitive Programming Contests. - Shiyi Xu; Yiwen Hu; Yingqian Min; Zhipeng Chen 001; Wayne Xin Zhao; Ji-Rong Wen (CoRR, 2025)

Decomposing the Entropy-Performance Exchange: The Missing Keys to Unlocking Effective Reinforcement Learning. - Jia Deng; Jie Chen 007; Zhipeng Chen 001; Wayne Xin Zhao; Ji-Rong Wen (CoRR, 2025)

From Trial-and-Error to Improvement: A Systematic Analysis of LLM Exploration Mechanisms in RLVR. - Jia Deng; Jie Chen 007; Zhipeng Chen 001; Daixuan Cheng; Fei Bai; Beichen Zhang; Yinqian Min; Yanzipeng Gao; Wayne Xin Zhao; Ji-Rong Wen (CoRR, 2025)

Pass@k Training for Adaptively Balancing Exploration and Exploitation of Large Reasoning Models. - Zhipeng Chen 001; Xiaobo Qin; Youbin Wu; Yue Ling; Qinghao Ye; Wayne Xin Zhao; Guang Shi (CoRR, 2025)