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Vision Inference Former: Sustaining Visual Consistency in Multimodal Large Language Models
arXiv:2605.18160v2 Announce Type: replace-cross Abstract: In recent years, multimodal large language models (MLLMs) have achieved remarkable progress, primarily attributed to effective paradigms for integrating visual an
Vision Inference Former: Sustaining Visual Consistency in Multimodal Large Language Models appears in this edition because arXiv:2605.18160v2 Announce Type: replace-cross Abstract: In recent years, multimodal large language models (MLLMs) have achieved remarkable progress, primarily attributed to effective paradigms for integrating visual and textual information. The dominant conn... Why it matters: Fresh arXiv paper with likely relevance to current AI/ML workflows. Primary citation: https://arxiv.org/abs/2605.18160. This item is included as recent arXiv submission signal rather than a settled claim where facts are still developing.