Do LVLMs Know What They Know? A Systematic Study of Knowledge Boundary Perception in LVLMs (2025.findings-emnlp)
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| Challenge: | Large Vision-Language Models (LVLMs) demonstrate strong visual question answering (VQA) capabilities but are shown to hallucinate. |
| Approach: | They propose three confidence-based methods to enhance LVLMs' perception . they propose probabilistic and consistency-based signals are more reliable indicators . |
| Outcome: | Experiments on three LVLMs across three VQA datasets show that LVLs possess a reasonable perception level but there is room for improvement. |
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