SQE: a Self Quality Evaluation Metric for Parameters Optimization in Multi-Object Tracking. - Yanru Huang; Feiyu Zhu; Zheni Zeng; Xi Qiu; Yuan Shen 001; Jianan Wu (CVPR, 2020)

SQE: a Self Quality Evaluation Metric for Parameters Optimization in Multi-Object Tracking. - Yanru Huang; Feiyu Zhu; Zheni Zeng; Xi Qiu; Yuan Shen; Jianan Wu (CoRR, 2020)

Robotic Occlusion Reasoning for Efficient Object Existence Prediction. - Mengdi Li; Cornelius Weber; Matthias Kerzel; Jae Hee Lee 001; Zheni Zeng; Zhiyuan Liu 001; Stefan Wermter (IROS, 2021)

CUGE: A Chinese Language Understanding and Generation Evaluation Benchmark. - Yuan Yao 013; Qingxiu Dong; Jian Guan 002; Boxi Cao; Zhengyan Zhang; Chaojun Xiao; Xiaozhi Wang; Fanchao Qi; Junwei Bao 001; Jinran Nie; Zheni Zeng; Yuxian Gu; et al. (CoRR, 2021)

Knowledge Transfer via Pre-training for Recommendation: A Review and Prospect. - Zheni Zeng; Chaojun Xiao; Yuan Yao 013; Ruobing Xie; Zhiyuan Liu 001; Fen Lin; Leyu Lin; Maosong Sun 001 (Frontiers Big Data, 2021)

Tool Learning with Foundation Models. - Yujia Qin; Shengding Hu; Yankai Lin; Weize Chen; Ning Ding 002; Ganqu Cui; Zheni Zeng; Yufei Huang 008; Chaojun Xiao; Chi Han; Yi Ren Fung 001; Yusheng Su; et al. (CoRR, 2023)

Interactive Molecular Discovery with Natural Language. - Zheni Zeng; Bangchen Yin; Shipeng Wang; Jiarui Liu; Cheng Yang 002; Haishen Yao; Xingzhi Sun 002; Maosong Sun 001; Guotong Xie; Zhiyuan Liu 001 (CoRR, 2023)

ConPET: Continual Parameter-Efficient Tuning for Large Language Models. - Chenyang Song; Xu Han 007; Zheni Zeng; Kuai Li; Chen Chen; Zhiyuan Liu 001; Maosong Sun 001; Tao Yang (CoRR, 2023)

Relation-aware deep neural network enables more efficient biomedical knowledge acquisition from massive literature. - Chenyang Song; Zheni Zeng; Changyao Tian; Kuai Li; Yuan Yao 013; Suncong Zheng; Zhiyuan Liu 001; Maosong Sun 001 (AI Open, 2024)

PersLLM: A Personified Training Approach for Large Language Models. - Zheni Zeng; Jiayi Chen 005; Huimin Chen; Yukun Yan; Yuxuan Chen; Zhenghao Liu 001; Zhiyuan Liu 001; Maosong Sun 001 (CoRR, 2024)

KBAlign: Efficient Self Adaptation on Specific Knowledge Bases. - Zheni Zeng; Yuxuan Chen; Shi Yu 001; Yukun Yan; Zhenghao Liu 001; Shuo Wang 013; Xu Han 007; Zhiyuan Liu 001; Maosong Sun 001 (CoRR, 2024)

Judge as A Judge: Improving the Evaluation of Retrieval-Augmented Generation through the Judge-Consistency of Large Language Models. - Shuliang Liu; Xinze Li; Zhenghao Liu 001; Yukun Yan; Cheng Yang 002; Zheni Zeng; Zhiyuan Liu 001; Maosong Sun 001; Ge Yu 001 (ACL (Findings), 2025)

RankCoT: Refining Knowledge for Retrieval-Augmented Generation through Ranking Chain-of-Thoughts. - Mingyan Wu; Zhenghao Liu 001; Yukun Yan; Xinze Li; Shi Yu 001; Zheni Zeng; Yu Gu 002; Ge Yu 001 (ACL (1), 2025)

RAG-DDR: Optimizing Retrieval-Augmented Generation Using Differentiable Data Rewards. - Xinze Li; Sen Mei; Zhenghao Liu 001; Yukun Yan; Shuo Wang 013; Shi Yu 001; Zheni Zeng; Hao Chen; Ge Yu 001; Zhiyuan Liu 001; Maosong Sun 001; Chenyan Xiong (ICLR, 2025)

Tool Learning with Foundation Models. - Yujia Qin; Shengding Hu; Yankai Lin; Weize Chen; Ning Ding 002; Ganqu Cui; Zheni Zeng; Xuanhe Zhou; Yufei Huang 008; Chaojun Xiao; Chi Han; Yi R. Fung 001; et al. (ACM Comput. Surv., 2025)

KARE-RAG: Knowledge-Aware Refinement and Enhancement for RAG. - Yongjian Li; HaoCheng Chu; Yukun Yan; Zhenghao Liu 001; Shi Yu 001; Zheni Zeng; Ruobing Wang; Sen Song; Zhiyuan Liu 001; Maosong Sun 001 (CoRR, 2025)