1

Deep Pre-Alignment for VLMs
Modular visual-encoder replacement for deeper multimodal pre-alignment.
Deep Pre-Alignment for VLMs
ICML 2026
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
Efficient MLLM recipe across architecture, data, and training.
MiniCPM-V 4.5: Cooking Efficient MLLMs via Architecture, Data, and Training Recipe
CVPR 2026
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
Open-source AI feedback for trustworthy MLLM alignment.
RLAIF-V: Open-Source AI Feedback Leads to Super GPT-4V Trustworthiness
CVPR 2025 Highlight
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
Fine-grained correctional human feedback for reducing MLLM hallucination.
RLHF-V: Towards Trustworthy MLLMs via Behavior Alignment from Fine-grained Correctional Human Feedback
CVPR 2024
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
Cross-modal interaction modeling for phrase grounding.
Cross-Modal Omni Interaction Modeling for Phrase Grounding
ACM MM 2020
用于短语定位的跨模态交互建模。