Papers with text lack visual grounding

1 papers
LaMI: Augmenting Large Language Models via Late Multi-Image Fusion (2026.acl-short)

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Challenge: Large Language Models lack visual grounding on visual reasoning, despite training on text alone.
Approach: They propose a late multi-image fusion method that augments LLMs with test-time visual signals.
Outcome: Using a late multi-image fusion method, the proposed model outperforms LLMs on visual reasoning and matches VLMs in vision-based tasks.

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