A tuning-free method that aggregates selected attention maps in a pretrained multimodal LLM achieves GUI grounding accuracy comparable to fine-tuned systems, especially for text.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2024 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Attention-driven GUI Grounding: Leveraging Pretrained Multimodal Large Language Models without Fine-Tuning
A tuning-free method that aggregates selected attention maps in a pretrained multimodal LLM achieves GUI grounding accuracy comparable to fine-tuned systems, especially for text.