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)

Exploring Learning Complexity for Downstream Data Pruning. - Wenyu Jiang; Zhenlong Liu; Zejian Xie; Songxin Zhang; Bingyi Jing; Hongxin Wei (CoRR, 2024)

Exploring Learning Complexity for Efficient Downstream Dataset Pruning. - Wenyu Jiang; Zhenlong Liu; Zejian Xie; Songxin Zhang; Bingyi Jing; Hongxin Wei (ICLR, 2025)

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)