Shaobo Wang

According to our database, Shaobo Wang authored at least 40 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2026

The Missing Piece in Pre-trained Model Evaluation: Reward-Guided Decoding Unlocks Task-Oriented Behavior Without Parameter Updates.

Shaobo Wang, Guo Chen, Ziyue Wang, Zhengyang Tang, Qingyang Liu, Xingzhang Ren, Dayiheng Liu, Linfeng Zhang

CoRR, May, 2026

DISA: Offline Importance Sampling for Distribution-Matching LLM-RL.

Shaobo Wang, Yujie Chen, Yafeng Sun, Wenjie Qiu, Zhihui Xie, Sihang Li, Yucheng Li, Huiqiang Jiang, Xingzhang Ren, Xuming Hu, Dayiheng Liu, Linfeng Zhang

CoRR, May, 2026

Breaking Dual Bottlenecks: Evolving Unified Multimodal Models into Self-Adaptive Interleaved Visual Reasoners.

Qingyang Liu, Bingjie Gao, Canmiao Fu, Zhipeng Huang, Chen Li, Feng Wang, Shuochen Chang, Shaobo Wang, Yali Wang, Keming Ye, Jiangtong Li, Li Niu

CoRR, May, 2026

Bridging Visual Representation and Reinforcement Learning from Verifiable Rewards in Large Vision-Language Models.

Yuhang Han, Yuyang Wu, Zhengbo Jiao, Yiyu Wang, Xuyang Liu, Shaobo Wang, Hanlin Xu, Xuming Hu, Linfeng Zhang

CoRR, March, 2026

Flash-Unified: A Training-Free and Task-Aware Acceleration Framework for Native Unified Models.

Junlong Ke, Zichen Wen, Boxue Yang, Yantai Yang, Xuyang Liu, Chenfei Liao, Zhaorun Chen, Shaobo Wang, Linfeng Zhang

CoRR, March, 2026

Towards Principled Dataset Distillation: A Spectral Distribution Perspective.

Ruixi Wu, Shaobo Wang, Jiahuan Chen, Zhiyuan Liu, Yicun Yang, Zhaorun Chen, Zekai Li, Kaixin Li, Xinming Wang, Hongzhu Yi, Kai Wang, Linfeng Zhang

CoRR, March, 2026

Credit Where It is Due: Cross-Modality Connectivity Drives Precise Reinforcement Learning for MLLM Reasoning.

Zhengbo Jiao, Shaobo Wang, Zifan Zhang, Wei Wang, Bing Zhao, Hu Wei, Linfeng Zhang

CoRR, February, 2026

OPUS: Towards Efficient and Principled Data Selection in Large Language Model Pre-training in Every Iteration.

Shaobo Wang, Xuan Ouyang, Tianyi Xu, Yuzheng Hu, Jialin Liu, Guo Chen, Tianyu Zhang, Junhao Zheng, Kexin Yang, Xingzhang Ren, Dayiheng Liu, Linfeng Zhang

CoRR, February, 2026

Socratic-Geo: Synthetic Data Generation and Geometric Reasoning via Multi-Agent Interaction.

Zhengbo Jiao, Shaobo Wang, Zifan Zhang, Wei Wang, Bing Zhao, Hu Wei, Linfeng Zhang

CoRR, February, 2026

Agentic Proposing: Enhancing Large Language Model Reasoning via Compositional Skill Synthesis.

Zhengbo Jiao, Shaobo Wang, Zifan Zhang, Xuan Ren, Wei Wang, Bing Zhao, Hu Wei, Linfeng Zhang

CoRR, February, 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

CoRR, January, 2026

Bridging Visual Dynamics and Narrative Reasoning: Multimodal Large Language Models for Short Drama Quality Assessment.

Qingyang Liu, Jiangtong Li, Zelin Peng, Shaobo Wang, Zhaohe Liao, Shuochen Chang, Bingjie Gao, Haonan Zhao, Mu Liu, Jidong Jiang, Li Niu

Proceedings of the ACM Web Conference 2026, 2026

UNSEEN: Enhancing Dataset Pruning from a Generalization Perspective.

Furui Xu, Shaobo Wang, Jiajun Zhang, Chenghao Sun, Haixiang Tang, Linfeng Zhang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

ImageBindDC: Compressing Multi-modal Data with ImageBind-based Condensation.

Yue Min, Shaobo Wang, Jiaze Li, Tianle Niu, Junxin Fan, Yongliang Miao, Lijin Yang, Linfeng Zhang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

VideoCompressa: Data-Efficient Video Understanding via Joint Temporal Compression and Spatial Reconstruction.

Shaobo Wang, Tianle Niu, Runkang Yang, Deshan Liu, Xu He, Zichen Wen, Conghui He, Xuming Hu, Linfeng Zhang

CoRR, November, 2025

Diffusion LLM with Native Variable Generation Lengths: Let [EOS] Lead the Way.

Yicun Yang, Cong Wang, Shaobo Wang, Zichen Wen, Biqing Qi, Hanlin Xu, Linfeng Zhang

CoRR, October, 2025

CircuitSeer: Mining High-Quality Data by Probing Mathematical Reasoning Circuits in LLMs.

Shaobo Wang, Yongliang Miao, Yuancheng Liu, Qianli Ma, Ning Liao, Linfeng Zhang

CoRR, October, 2025

Rethinking LLM Evaluation: Can We Evaluate LLMs with 200x 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

CoRR, October, 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

CoRR, October, 2025

Socratic-Zero : Bootstrapping Reasoning via Data-Free Agent Co-evolution.

Shaobo Wang, Zhengbo Jiao, Zifan Zhang, Yilang Peng, Xu Ze, Boyu Yang, Wei Wang, Hu Wei, Linfeng Zhang

CoRR, September, 2025

Winning the Pruning Gamble: A Unified Approach to Joint Sample and Token Pruning for Efficient Supervised Fine-Tuning.

Shaobo Wang, Jiaming Wang, Jiajun Zhang, Cong Wang, Yue Min, Zichen Wen, Fei Huang, Huiqiang Jiang, Junyang Lin, Dayiheng Liu, Linfeng Zhang

CoRR, September, 2025

dLLM-Cache: Accelerating Diffusion Large Language Models with Adaptive Caching.

Zhiyuan Liu, Yicun Yang, Yaojie Zhang, Junjie Chen, Chang Zou, Qingyuan Wei, Shaobo Wang, Linfeng Zhang

CoRR, June, 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, June, 2025

Shifting AI Efficiency From Model-Centric to Data-Centric Compression.

Xuyang Liu, Zichen Wen, Shaobo Wang, Junjie Chen, Zhishan Tao, Yubo Wang, Xiangqi Jin, Chang Zou, Yiyu Wang, Chenfei Liao, Xu Zheng, Honggang Chen, Weijia Li, Xuming Hu, Conghui He, Linfeng Zhang

CoRR, May, 2025

KO: Kinetics-inspired Neural Optimizer with PDE Simulation Approaches.

Mingquan Feng, Yixin Huang, Yifan Fu, Shaobo Wang, Junchi Yan

CoRR, May, 2025

DD-Ranking: Rethinking the Evaluation of Dataset Distillation.

Zekai Li, Xinhao Zhong, Samir Khaki, Zhiyuan Liang, Yuhao Zhou, Mingjia Shi, Ziqiao Wang, Xuanlei Zhao, Wangbo Zhao, Ziheng Qin, Mengxuan Wu, Pengfei Zhou, Haonan Wang, David Junhao Zhang, Jia-Wei Liu, Shaobo Wang, Dai Liu, Linfeng Zhang, Guang Li, Kun Wang, Zheng Zhu, Zhiheng Ma, Joey Tianyi Zhou, Jiancheng Lv, Yaochu Jin, Peihao Wang, Kaipeng Zhang, Lingjuan Lyu, Yiran Huang, Zeynep Akata, Zhiwei Deng, Xindi Wu, George Cazenavette, Yuzhang Shang, Justin Cui, Jindong Gu, Qian Zheng, Hao Ye, Shuo Wang, Xiaobo Wang, Yan Yan, Angela Yao, Mike Zheng Shou, Tianlong Chen, Hakan Bilen, Baharan Mirzasoleiman, Manolis Kellis, Konstantinos N. Plataniotis, Zhangyang Wang, Bo Zhao, Yang You, Kai Wang

CoRR, May, 2025

Compute Only 16 Tokens in One Timestep: Accelerating Diffusion Transformers with Cluster-Driven Feature Caching.

Zhixin Zheng, Xinyu Wang, Chang Zou, Shaobo Wang, Linfeng Zhang

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

SpeCa: Accelerating Diffusion Transformers with Speculative Feature Caching.

Jiacheng Liu, Chang Zou, Yuanhuiyi Lyu, Fei Ren, Shaobo Wang, Kaixin Li, Linfeng Zhang

Proceedings of the 33rd ACM International Conference on Multimedia, 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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Stop Looking for "Important Tokens" in Multimodal Language Models: Duplication Matters More.

Zichen Wen, Yifeng Gao, Shaobo Wang, Junyuan Zhang, Qintong Zhang, Weijia Li, Conghui He, Linfeng Zhang

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Dataset Distillation with Neural Characteristic Function: A Minmax Perspective.

Shaobo Wang, Yicun Yang, Zhiyuan Liu, Chenghao Sun, Xuming Hu, Conghui He, Linfeng Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Data Whisperer: Efficient Data Selection for Task-Specific LLM Fine-Tuning via Few-Shot In-Context Learning.

Shaobo Wang, Xiangqi Jin, Ziming Wang, Jize Wang, Jiajun Zhang, Kaixin Li, Zichen Wen, Zhong Li, Conghui He, Xuming Hu, Linfeng Zhang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Gnothi Seauton: Empowering Faithful Self-Interpretability in Black-Box Models.

Shaobo Wang, Hongxuan Tang, Mingyang Wang, Hongrui Zhang, Xuyang Liu, Weiya Li, Xuming Hu, Linfeng Zhang

CoRR, 2024

DRUPI: Dataset Reduction Using Privileged Information.

Shaobo Wang, Yantai Yang, Shuaiyu Zhang, Chenghao Sun, Weiya Li, Xuming Hu, Linfeng Zhang

CoRR, 2024

Not All Samples Should Be Utilized Equally: Towards Understanding and Improving Dataset Distillation.

Shaobo Wang, Yantai Yang, Qilong Wang, Kaixin Li, Linfeng Zhang, Junchi Yan

CoRR, 2024

Think2Drive: Efficient Reinforcement Learning by Thinking in Latent World Model for Quasi-Realistic Autonomous Driving (in CARLA-v2).

Qifeng Li, Xiaosong Jia, Shaobo Wang, Junchi Yan

CoRR, 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

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Unified Batch Normalization: Identifying and Alleviating the Feature Condensation in Batch Normalization and a Unified Framework.

Shaobo Wang, Xiangdong Zhang, Junchi Yan

CoRR, 2023

2021

Trap of Feature Diversity in the Learning of MLPs.

Dongrui Liu, Shaobo Wang, Jie Ren, Kangrui Wang, Sheng Yin, Quanshi Zhang

CoRR, 2021

Visualizing the Emergence of Intermediate Visual Patterns in DNNs.

Mingjie Li, Shaobo Wang, Quanshi Zhang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021