2 citations · 6 across the 19 of their papers we have counts for
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cs.CV2023★ 2 cited
Mitigating Hallucination in Visual Language Models with Visual Supervision
Zhiyang Chen, Yousong Zhu, Yufei Zhan +4
Large vision-language models (LVLMs) suffer from hallucination a lot, generating responses that apparently contradict to the image content occasionally. The key problem lies in its…
cs.LG2023★ 1 cited
Continual Instruction Tuning for Large Multimodal Models
Jinghan He, Haiyun Guo, Ming Tang +1
Instruction tuning is now a widely adopted approach to aligning large multimodal models (LMMs) to follow human intent. It unifies the data format of vision-language tasks, enabling…
cs.CV2023★ 1 cited
Griffon: Spelling out All Object Locations at Any Granularity with Large Language Models
Yufei Zhan, Yousong Zhu, Zhiyang Chen +3
Replicating the innate human ability to detect all objects based on free-form texts at any granularity remains a formidable challenge for Large Vision Language Models (LVLMs). Curr…