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Deep Pre-Alignment for VLMs
通过模块化视觉编码器替换实现更深层的多模态预对齐。
MiniCPM-V 4.5: Cooking Efficient MLLMs via Architecture, Data, and Training Recipe
覆盖架构、数据与训练策略的高效多模态大模型构建方案。
RLAIF-V: Open-Source AI Feedback Leads to Super GPT-4V Trustworthiness
用于可信多模态对齐的开源反馈数据。
RLHF-V: Towards Trustworthy MLLMs via Behavior Alignment from Fine-grained Correctional Human Feedback
用细粒度纠错式人类反馈减少多模态大模型幻觉。
Cross-Modal Omni Interaction Modeling for Phrase Grounding
用于短语定位的跨模态交互建模。