Abstract: Vision-Language Models (VLMs) have recently shown promising advancements in sequential decision-making tasks through task-specific fine-tuning. However, common fine-tuning methods, such as ...
Overview of the proposed method. (a) LLaMA 3.2-Vision architecture; (b) default attention masking mechanism used in self- and cross-attention layers; (c) modified attention masks enabling analysis of ...
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