Songxin Zhang

According to our database, Songxin Zhang authored at least 6 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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, June, 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, Cong Lin, Sihang Cai, Zejian Xie, Zhuoyang Song, Songxin Zhang

CoRR, March, 2025

Fine-tuning can Help Detect Pretraining Data from Large Language Models.

Hengxiang Zhang, Songxin Zhang, Bingyi Jing, Hongxin Wei

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Exploring Learning Complexity for Efficient Downstream Dataset Pruning.

Wenyu Jiang, Zhenlong Liu, Zejian Xie, Songxin Zhang, Bingyi Jing, Hongxin Wei

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Exploring Learning Complexity for Downstream Data Pruning.

Wenyu Jiang, Zhenlong Liu, Zejian Xie, Songxin Zhang, Bingyi Jing, Hongxin Wei

CoRR, 2024

2023

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