Papers with text lack visual grounding
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. |