Mitigating fine-grained hallucination by fine-tuning large vision-language models with caption rewrites
Large language models (LLMs) have shown remarkable performance in natural language processing (NLP) tasks. To comprehend and execute diverse human instructions over image data, instruction-tuned large vision-language models (LVLMs) have been introduced. However, LVLMs may suffer from different types...
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Main Authors: | , , , , |
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Format: | text |
Language: | English |
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Institutional Knowledge at Singapore Management University
2024
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Online Access: | https://ink.library.smu.edu.sg/sis_research/8750 https://ink.library.smu.edu.sg/context/sis_research/article/9753/viewcontent/MitigatingFine_GrainedHallucination_av.pdf |
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Institution: | Singapore Management University |
Language: | English |
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