Never Lost in the Middle: Improving Large Language Models via Attention Strengthening Question Answering. - Junqing He; Kunhao Pan; Xiaoqun Dong; Zhuoyang Song; Yibo Liu; Yuxin Liang; Hao Wang; Qianguo Sun; Songxin Zhang; Zejian Xie; Jiaxing Zhang (CoRR, 2023)

Never Lost in the Middle: Mastering Long-Context Question Answering with Position-Agnostic Decompositional Training. - Junqing He; Kunhao Pan; Xiaoqun Dong; Zhuoyang Song; LiuYiBo LiuYiBo; Qianguosun Qianguosun; Yuxin Liang; Hao Wang; Enming Zhang; Jiaxing Zhang (ACL (1), 2024)

DimA: A Parameter-efficient Fine-tuning Method with Knowledge Transfer Based on Transformer. - Wenxuan Zhang; Min Huang 009; Zhuoyang Song; Qinghai Miao (LREC/COLING, 2024)

Learning to Trust Your Feelings: Leveraging Self-awareness in LLMs for Hallucination Mitigation. - Yuxin Liang; Zhuoyang Song; Hao Wang; Jiaxing Zhang (CoRR, 2024)

Parallel Learning for Legal Intelligence: A HANOI Approach Based on Unified Prompting. - Zhuoyang Song; Min Huang 009; Qinghai Miao; Fei-Yue Wang 001 (IEEE Trans. Comput. Soc. Syst., 2024)

Astrea: A MOE-based Visual Understanding Model with Progressive Alignment. - Xiaoda Yang; Junyu Lu; Hongshun Qiu; Sijing Li; Hao Li; Shengpeng Ji; Xudong Tang; Jiayang Xu; Jiaqi Duan; Ziyue Jiang 001; Cong Lin; Sihang Cai; et al. (CoRR, 2025)

L0: Reinforcement Learning to Become General Agents. - Junjie Zhang; Jingyi Xi; Zhuoyang Song; Junyu Lu; Yuhua Ke; Ting Sun; Yukun Yang; Jiaxing Zhang; Songxin Zhang; Zejian Xie (CoRR, 2025)