Contrastive Demonstration Tuning for Pre-trained Language Models. - Xiaozhuan Liang; Ningyu Zhang 001; Siyuan Cheng 008; Zhenru Zhang; Chuanqi Tan; Huajun Chen (EMNLP (Findings), 2022)

DeepKE: A Deep Learning Based Knowledge Extraction Toolkit for Knowledge Base Population. - Ningyu Zhang 001; Xin Xu 010; Liankuan Tao; Haiyang Yu 003; Hongbin Ye; Xin Xie 006; Xiang Chen 016; Zhoubo Li; Lei Li 040; Xiaozhuan Liang; Yunzhi Yao; Shumin Deng; et al. (CoRR, 2022)

Contrastive Demonstration Tuning for Pre-trained Language Models. - Xiaozhuan Liang; Ningyu Zhang 001; Siyuan Cheng 008; Zhen Bi; Zhenru Zhang; Chuanqi Tan; Songfang Huang; Fei Huang 002; Huajun Chen (CoRR, 2022)

Towards Adaptive Prefix Tuning for Parameter-Efficient Language Model Fine-tuning. - Zhenru Zhang; Chuanqi Tan; Haiyang Xu 001; Chengyu Wang 001; Jun Huang 007; Songfang Huang (ACL (2), 2023)

VECO 2.0: Cross-lingual Language Model Pre-training with Multi-granularity Contrastive Learning. - Zhenru Zhang; Chuanqi Tan; Songfang Huang; Fei Huang 002 (CoRR, 2023)

Qwen Technical Report. - Jinze Bai; Shuai Bai; Yunfei Chu; Zeyu Cui; Kai Dang; Xiaodong Deng; Yang Fan; Wenbin Ge; Yu Han; Fei Huang 005; Binyuan Hui; Luo Ji; et al. (CoRR, 2023)

VG-Annotator: Vision-Language Models as Query Annotators for Unsupervised Visual Grounding. - Jiabo Ye; Junfeng Tian; Xiaoshan Yang; Zhenru Zhang; Anwen Hu; Ming Yan 008; Ji Zhang 011; Liang He 001; Xin Lin 001 (ICME, 2024)

Qwen2 Technical Report. - An Yang; Baosong Yang; Binyuan Hui; Bo Zheng 007; Bowen Yu 002; Chang Zhou; Chengpeng Li 001; Chengyuan Li; Dayiheng Liu; Fei Huang 005; Guanting Dong; Haoran Wei; et al. (CoRR, 2024)

Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement. - An Yang; Beichen Zhang; Binyuan Hui; Bofei Gao; Bowen Yu 002; Chengpeng Li 001; Dayiheng Liu; Jianhong Tu; Jingren Zhou 001; Junyang Lin; Keming Lu; Mingfeng Xue; et al. (CoRR, 2024)

Qwen2.5 Technical Report. - An Yang; Baosong Yang; Beichen Zhang; Binyuan Hui; Bo Zheng 007; Bowen Yu 002; Chengyuan Li; Dayiheng Liu; Fei Huang 005; Haoran Wei; Huan Lin; Jian Yang 003; et al. (CoRR, 2024)

Disentangling Reasoning Tokens and Boilerplate Tokens For Language Model Fine-tuning. - Ziang Ye; Zhenru Zhang; Yang Zhang 072; Jianxin Ma; Junyang Lin; Fuli Feng (ACL (Findings), 2025)

The Lessons of Developing Process Reward Models in Mathematical Reasoning. - Zhenru Zhang; Chujie Zheng; Yangzhen Wu; Beichen Zhang; Runji Lin; Bowen Yu 002; Dayiheng Liu; Jingren Zhou 001; Junyang Lin (ACL (Findings), 2025)

ProcessBench: Identifying Process Errors in Mathematical Reasoning. - Chujie Zheng; Zhenru Zhang; Beichen Zhang; Runji Lin; Keming Lu; Bowen Yu 002; Dayiheng Liu; Jingren Zhou 001; Junyang Lin (ACL (1), 2025)

START: Self-taught Reasoner with Tools. - Chengpeng Li 001; Mingfeng Xue; Zhenru Zhang; Jiaxi Yang; Beichen Zhang; Xiang Wang 010; Bowen Yu 002; Binyuan Hui; Junyang Lin; Dayiheng Liu (CoRR, 2025)

Qwen3 Technical Report. - An Yang; Anfeng Li; Baosong Yang; Beichen Zhang; Binyuan Hui; Bo Zheng 007; Bowen Yu 002; Chang Gao; Chengen Huang; Chenxu Lv; Chujie Zheng; Dayiheng Liu; et al. (CoRR, 2025)

WorldPM: Scaling Human Preference Modeling. - Binghai Wang; Runji Lin; Keming Lu; Le Yu; Zhenru Zhang; Fei Huang 005; Chujie Zheng; Kai Dang; Yang Fan; Xingzhang Ren; An Yang; Binyuan Hui; et al. (CoRR, 2025)

Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning. - Shenzhi Wang; Le Yu; Chang Gao; Chujie Zheng; Shixuan Liu; Rui Lu; Kai Dang; Xionghui Chen; Jianxin Yang; Zhenru Zhang; Yuqiong Liu; An Yang; et al. (CoRR, 2025)