Newer LLM backbones in VLMs do not always improve performance; gains are task-dependent, with VQA models solving different questions due to better confidence calibration and stable representations.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.AI 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Back to the Barn with LLAMAs: Evolving Pretrained LLM Backbones in Finetuning Vision Language Models
Newer LLM backbones in VLMs do not always improve performance; gains are task-dependent, with VQA models solving different questions due to better confidence calibration and stable representations.