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.
Mmbench: Is your multi-modal model an all-around player? InEuropean conference on computer vi- sion, pages 216–233
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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.