Vision Inference Former adds a direct visual-to-output bridge that continuously injects visual semantics during MLLM decoding to sustain consistency and reduce modality imbalance.
A normalized levenshtein distance metric.IEEE transactions on pattern analysis and machine intelligence, 29(6):1091–1095, 2007
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Vision Inference Former: Sustaining Visual Consistency in Multimodal Large Language Models
Vision Inference Former adds a direct visual-to-output bridge that continuously injects visual semantics during MLLM decoding to sustain consistency and reduce modality imbalance.