1 citations · 1 across the 10 of their papers we have counts for
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MC-MKE: A Fine-Grained Multimodal Knowledge Editing Benchmark Emphasizing Modality Consistency
Junzhe Zhang, Huixuan Zhang, Xunjian Yin +4
Multimodal large language models (MLLMs) are prone to non-factual or outdated knowledge issues, which can manifest as misreading and misrecognition errors due to the complexity of…
Quantity Matters: Towards Assessing and Mitigating Number Hallucination in Large Vision-Language Models
Huixuan Zhang, Junzhe Zhang, Xiaojun Wan
Large-scale vision-language models have demonstrated impressive skill in handling tasks that involve both areas. Nevertheless, these models frequently experience significant issues…
EAMA : Entity-Aware Multimodal Alignment Based Approach for News Image Captioning
Junzhe Zhang, Huixuan Zhang, Xunjian Yin +1
News image captioning requires model to generate an informative caption rich in entities, with the news image and the associated news article. Current MLLMs still bear limitations…