AIBullisharXiv – CS AI · Mar 46/103
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Self-Aug: Query and Entropy Adaptive Decoding for Large Vision-Language Models
Researchers developed a new training-free decoding strategy for Large Vision-Language Models that reduces hallucinations by using query-adaptive visual augmentation and entropy-based token selection. The method showed significant improvements in factual consistency across four LVLMs and seven benchmarks compared to existing approaches.