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Sharegpt4video: Improving video understanding and generation with better captions
Abstract We present the ShareGPT4Video series, aiming to facilitate the video
understanding of large video-language models (LVLMs) and the video generation of text-to …
understanding of large video-language models (LVLMs) and the video generation of text-to …
Are we on the right way for evaluating large vision-language models?
Large vision-language models (LVLMs) have recently achieved rapid progress, sparking
numerous studies to evaluate their multi-modal capabilities. However, we dig into current …
numerous studies to evaluate their multi-modal capabilities. However, we dig into current …
Mova: Adapting mixture of vision experts to multimodal context
As the key component in multimodal large language models (MLLMs), the ability of the
visual encoder greatly affects MLLM's understanding on diverse image content. Although …
visual encoder greatly affects MLLM's understanding on diverse image content. Although …
Calibrated self-rewarding vision language models
Large Vision-Language Models (LVLMs) have made substantial progress by integrating pre-
trained large language models (LLMs) and vision models through instruction tuning. Despite …
trained large language models (LLMs) and vision models through instruction tuning. Despite …
Interleaved Scene Graph for Interleaved Text-and-Image Generation Assessment
Many real-world user queries (eg" How do to make egg fried rice?") could benefit from
systems capable of generating responses with both textual steps with accompanying …
systems capable of generating responses with both textual steps with accompanying …
FaceXBench: Evaluating Multimodal LLMs on Face Understanding
Multimodal Large Language Models (MLLMs) demonstrate impressive problem-solving
abilities across a wide range of tasks and domains. However, their capacity for face …
abilities across a wide range of tasks and domains. However, their capacity for face …
MMedPO: Aligning Medical Vision-Language Models with Clinical-Aware Multimodal Preference Optimization
The advancement of Large Vision-Language Models (LVLMs) has propelled their
application in the medical field. However, Medical LVLMs (Med-LVLMs) encounter factuality …
application in the medical field. However, Medical LVLMs (Med-LVLMs) encounter factuality …