RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms. - Wayne Xin Zhao; Shanlei Mu; Yupeng Hou; Zihan Lin; Yushuo Chen; Xingyu Pan; Kaiyuan Li; Yujie Lu; Hui Wang 072; Changxin Tian; Yingqian Min; Zhichao Feng; et al. (CIKM, 2021)

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)

DATA-CUBE: Data Curriculum for Instruction-based Sentence Representation Learning. - Yingqian Min; Kun Zhou 002; Dawei Gao; Xin Zhao 018; He Hu 001; Yaliang Li (ACL (Findings), 2024)

LLMBox: A Comprehensive Library for Large Language Models. - Tianyi Tang; Yiwen Hu; Bingqian Li; Wenyang Luo; Zijing Qin; Haoxiang Sun; Jiapeng Wang; Shiyi Xu; Xiaoxue Cheng; Geyang Guo; Han Peng; Bowen Zheng 005; et al. (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)

Unlocking General Long Chain-of-Thought Reasoning Capabilities of Large Language Models via Representation Engineering. - Xinyu Tang 004; Xiaolei Wang 005; Zhihao Lv; Yingqian Min; Xin Zhao 018; Binbin Hu; Ziqi Liu; Zhiqiang Zhang 012 (ACL (1), 2025)

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)