Wang, Shaobo

9 publications

ICLR 2026 Grounding and Enhancing Informativeness and Utility in Dataset Distillation Shaobo Wang, Yantai Yang, Guo Chen, Peiru Li, Kaixin Li, Yufa Zhou, Zhaorun Chen, Linfeng Zhang

ICLR 2026 Rethinking LLM Evaluation: Can We Evaluate LLMs with 200× Less Data? Shaobo Wang, Cong Wang, Wenjie Fu, Yue Min, Mingquan Feng, Isabel Guan, Xuming Hu, Conghui He, Cunxiang Wang, Kexin Yang, Xingzhang Ren, Fei Huang, Dayiheng Liu, Linfeng Zhang

ICLRW 2025 DRUPI: Dataset Reduction Using Privileged Information Shaobo Wang, Yantai Yang, Shuaiyu Zhang, Chenghao Sun, Weiya Li, Xuming Hu, Linfeng Zhang

CVPR 2025 Dataset Distillation with Neural Characteristic Function: A Minmax Perspective Shaobo Wang, Yicun Yang, Zhiyuan Liu, Chenghao Sun, Xuming Hu, Conghui He, Linfeng Zhang

NeurIPS 2025 Efficient Multi-Modal Large Language Models via Progressive Consistency Distillation Zichen Wen, Shaobo Wang, Yufa Zhou, Junyuan Zhang, Qintong Zhang, Yifeng Gao, Zhaorun Chen, Bin Wang, Weijia Li, Conghui He, Linfeng Zhang

ICLR 2025 Gnothi Seauton: Empowering Faithful Self-Interpretability in Black-Box Transformers Shaobo Wang, Hongxuan Tang, Mingyang Wang, Hongrui Zhang, Xuyang Liu, Weiya Li, Xuming Hu, Linfeng Zhang

ICLRW 2025 Rethinking Dataset Pruning from a Generalization Perspective Furui Xu, Shaobo Wang, Luo Zhongwei, Linfeng Zhang

ECCV 2024 Think2Drive: Efficient Reinforcement Learning by Thinking with Latent World Model for Autonomous Driving (in CARLA-V2) Qifeng Li, Xiaosong Jia, Shaobo Wang, Junchi Yan

NeurIPS 2021 Visualizing the Emergence of Intermediate Visual Patterns in DNNs Mingjie Li, Shaobo Wang, Quanshi Zhang