Rethinking Visual Attention for Reducing Hallucination in Large Vision–Language Models
Large Vision–Language Models (LVLMs) have achieved strong performance in multimodal understanding and generation. However, they remain prone to hallucination, where generated content deviates from the visual input, reducing output reliability. We analyze the attention mechanism and identify two key...
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| Hauptverfasser: | , |
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| Format: | Artigo |
| Sprache: | Inglês |
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MDPI AG
2026-04-01
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| Schriftenreihe: | Applied Sciences |
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| Online-Zugang: | https://www.mdpi.com/2076-3417/16/9/4143 |
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