Data Whisperer: Efficient Data Selection for Task-Specific LLM Fine-Tuning via Few-Shot In-Context Learning. - Shaobo Wang 001; Xiangqi Jin; Ziming Wang; Jize Wang; Jiajun Zhang; Kaixin Li; Zichen Wen; Zhong Li; Conghui He; Xuming Hu; Linfeng Zhang 001 (ACL (1), 2025)

Shifting AI Efficiency From Model-Centric to Data-Centric Compression. - Xuyang Liu; Zichen Wen; Shaobo Wang 001; Junjie Chen; Zhishan Tao; Yubo Wang; Xiangqi Jin; Chang Zou; Yiyu Wang; Chenfei Liao; Xu Zheng 002; Honggang Chen; et al. (CoRR, 2025)

Reasoning Like an Economist: Post-Training on Economic Problems Induces Strategic Generalization in LLMs. - Yufa Zhou; Shaobo Wang; Xingyu Dong; Xiangqi Jin; Yifang Chen; Yue Min; Kexin Yang; Xingzhang Ren; Dayiheng Liu; Linfeng Zhang (CoRR, 2025)

The Devil behind the mask: An emergent safety vulnerability of Diffusion LLMs. - Zichen Wen; Jiashu Qu; Dongrui Liu; Zhiyuan Liu; Ruixi Wu; Yicun Yang; Xiangqi Jin; Haoyun Xu; Xuyang Liu; Weijia Li; Chaochao Lu; Jing Shao; et al. (CoRR, 2025)

Innovator: Scientific Continued Pretraining with Fine-grained MoE Upcycling. - Ning Liao; Xiaoxing Wang; Zehao Lin; Weiyang Guo; Feng Hong 004; Shixiang Song; Geng Yu; Zihua Zhao; Sitao Xie; Longxuan Wei; Xiangqi Jin; Xiaohan Qin; et al. (CoRR, 2025)

Thinking Inside the Mask: In-Place Prompting in Diffusion LLMs. - Xiangqi Jin; Yuxuan Wang; Yifeng Gao; Zichen Wen; Biqing Qi; Dongrui Liu; Linfeng Zhang (CoRR, 2025)