most citedLLaVA-MoD: Making LLaVA Tiny via MoE Knowledge Distillation

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cs.CV2025

CMMCoT: Enhancing Complex Multi-Image Comprehension via Multi-Modal Chain-of-Thought and Memory Augmentation

Guanghao Zhang, Tao Zhong, Yan Xia +8

While previous multimodal slow-thinking methods have demonstrated remarkable success in single-image understanding scenarios, their effectiveness becomes fundamentally constrained…

cs.CV2025

Streaming Video Question-Answering with In-context Video KV-Cache Retrieval

Shangzhe Di, Zhelun Yu, Guanghao Zhang +7

We propose ReKV, a novel training-free approach that enables efficient streaming video question-answering (StreamingVQA), by seamlessly integrating with existing Video Large Langua…

cs.CV2024★ 1 cited

LLaVA-MoD: Making LLaVA Tiny via MoE Knowledge Distillation

Fangxun Shu, Yue Liao, Le Zhuo +14

We introduce LLaVA-MoD, a novel framework designed to enable the efficient training of small-scale Multimodal Language Models (s-MLLM) by distilling knowledge from large-scale MLLM…