UniPrune: Unified Progressive Visual Token Pruning with Information-Aware Budget Allocation for Efficient LLaVA-Style Vision Language Models
- DOI
- 10.21203/rs.3.rs-9555450/v1
- Published
- 2026-08-31
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- Not recorded
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.21203/rs.3.rs-9555450/v1,
title = {UniPrune: Unified Progressive Visual Token Pruning with Information-Aware Budget Allocation for Efficient LLaVA-Style Vision Language Models},
author = {Jianhua Cui and Meizhou Ding and Ziru Niu and Wei Wang and Lifeng Han and Peng Zhao},
year = {2026},
doi = {10.21203/rs.3.rs-9555450/v1},
url = {https://doi.org/10.21203/rs.3.rs-9555450/v1}
}RIS
TY - JOUR TI - UniPrune: Unified Progressive Visual Token Pruning with Information-Aware Budget Allocation for Efficient LLaVA-Style Vision Language Models AU - Jianhua Cui AU - Meizhou Ding AU - Ziru Niu AU - Wei Wang AU - Lifeng Han AU - Peng Zhao PY - 2026 DO - 10.21203/rs.3.rs-9555450/v1 UR - https://doi.org/10.21203/rs.3.rs-9555450/v1 ER -
APA
Cui, J., Ding, M., Niu, Z., Wang, W., Han, L., & Zhao, P. (2026). UniPrune: Unified Progressive Visual Token Pruning with Information-Aware Budget Allocation for Efficient LLaVA-Style Vision Language Models. https://doi.org/10.21203/rs.3.rs-9555450/v1
Source records
- crossref · retrieved 2026-09-26T02:17:58.032Z