Dynamics of Instruction Tuning: Each Ability of Large Language Models Has Its Own Growth Pace. - Chiyu Song; Zhanchao Zhou; Jianhao Yan; Yuejiao Fei; Zhenzhong Lan; Yue Zhang 004 (CoRR, 2023)

Value Residual Learning For Alleviating Attention Concentration In Transformers. - Zhanchao Zhou; Tianyi Wu; Zhiyun Jiang; Zhenzhong Lan (CoRR, 2024)

UBER: Uncertainty-Based Evolution with Large Language Models for Automatic Heuristic Design. - Zijie Chen; Zhanchao Zhou; Yu Lu; Renjun Xu; Lili Pan 001; Zhenzhong Lan (CoRR, 2024)

Offline prompt polishing for low quality instructions. - Jia Yu; Zhanchao Zhou; Long Li; Ling Li; Yuming Yan; Renjun Xu; Zhenzhong Lan (Neurocomputing, 2024)

Value Residual Learning. - Zhanchao Zhou; Tianyi Wu; Zhiyun Jiang; Fares Obeid; Zhenzhong Lan (ACL (1), 2025)

Dynamics of Instruction Fine-Tuning for Chinese Large Language Models. - Chiyu Song; Zhanchao Zhou; Jianhao Yan; Yuejiao Fei; Zhenzhong Lan; Yue Zhang 004 (COLING, 2025)

ConceptPsy: A comprehensive benchmark suite for hierarchical psychological concept understanding in LLMs. - Junlei Zhang; Hongliang He; Lizhi Ma; Nirui Song; Shuyuan He; Shuai Zhang; Huachuan Qiu; Zhanchao Zhou; Anqi Li 002; Yong Dai 001; Renjun Xu; Zhenzhong Lan (Neurocomputing, 2025)

Grove MoE: Towards Efficient and Superior MoE LLMs with Adjugate Experts. - Haoyuan Wu; Haoxing Chen; Xiaodong Chen; Zhanchao Zhou; Tieyuan Chen; Yihong Zhuang; Guoshan Lu; Zenan Huang; Junbo Zhao; Lin Liu; Zhenzhong Lan; Bei Yu; et al. (CoRR, 2025)