"Boosting Private Domain Understanding of Efficient MLLMs: A Tuning-free, ..."

Jiang Liu et al. (2024)

> Home

Details and statistics

DOI: 10.48550/ARXIV.2412.19684

access: open

type: Informal or Other Publication

metadata version: 2025-01-25

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/corr/abs-2412-19684
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2412-19684
Jiang Liu, Bolin Li, Haoyuan Li, Tianwei Lin, Wenqiao Zhang, Tao Zhong, Zhelun Yu, Jinghao Wei, Hao Cheng, Hao Jiang, Zheqi Lv, Juncheng Li, Siliang Tang, Yueting Zhuang:
Boosting Private Domain Understanding of Efficient MLLMs: A Tuning-free, Adaptive, Universal Prompt Optimization Framework. CoRR abs/2412.19684 (2024)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.