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20232026
most citedHealthGPT: A Medical Large Vision-Language Model for Unifying Comprehension and Generation via Heterogeneous Knowledge Adaptation

7 citations · 21 across the 23 of their papers we have counts for

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6 papers · 1 filter

cs.CV2025

Boosting MLLM Reasoning with Text-Debiased Hint-GRPO

Qihan Huang, Weilong Dai, Jinlong Liu +6

MLLM reasoning has drawn widespread research for its excellent problem-solving capability. Current reasoning methods fall into two types: PRM, which supervises the intermediate rea…

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

Towards Enhanced Image Generation Via Multi-modal Chain of Thought in Unified Generative Models

Yi Wang, Mushui Liu, Wanggui He +13

Unified generative models have shown remarkable performance in text and image generation. For image synthesis tasks, they adopt straightforward text-to-image (T2I) generation. Howe…

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.CV2025★ 7 cited

HealthGPT: A Medical Large Vision-Language Model for Unifying Comprehension and Generation via Heterogeneous Knowledge Adaptation

Tianwei Lin, Wenqiao Zhang, Sijing Li +12

We present HealthGPT, a powerful Medical Large Vision-Language Model (Med-LVLM) that integrates medical visual comprehension and generation capabilities within a unified autoregres…

cs.CV2025

CustomVideoX: 3D Reference Attention Driven Dynamic Adaptation for Zero-Shot Customized Video Diffusion Transformers

D. She, Mushui Liu, Jingxuan Pang +9

Customized generation has achieved significant progress in image synthesis, yet personalized video generation remains challenging due to temporal inconsistencies and quality degrad…