PhD student, Huazhong University of Science and Technology
1 paper at NeurIPS 2025
To address inefficiency from excessive visual tokens in LVLMs, we propose an information-flow perspective revealing dynamic redundancy emergence and introduce a method aligned with the model’s inherent behavior, outperforming all existing approaches.
