Papers with open-ended caption generation
Does Object Grounding Really Reduce Hallucination of Large Vision-Language Models? (2024.emnlp-main)
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| Challenge: | Large vision-language models (LVLMs) often hallucinate and produce captions that mention concepts that cannot be found in the image. |
| Approach: | They propose to add grounding objectives to captions that explicitly align image regions or objects to text spans to reduce hallucination. |
| Outcome: | The proposed evaluation protocol reduces the amount of hallucination in LVLMs by adding grounding objectives. |