Suppressing low-attention tokens during the focus phase of vision-encoder processing reduces object hallucinations in LVLMs while preserving caption quality and adding negligible inference time.
In: Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
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Focus Matters: Phase-Aware Suppression for Hallucination in Vision-Language Models
Suppressing low-attention tokens during the focus phase of vision-encoder processing reduces object hallucinations in LVLMs while preserving caption quality and adding negligible inference time.