AIBullisharXiv – CS AI · 14h ago7/10
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TARAC: Mitigating Hallucination in LVLMs via Temporal Attention Real-time Accumulative Connection
Researchers introduce TARAC, a training-free framework that mitigates hallucinations in Large Vision-Language Models by dynamically preserving visual attention across generation steps. The method achieves significant improvements—reducing hallucinated content by 25.2% and boosting perception scores by 10.65—while adding only ~4% computational overhead, making it practical for real-world deployment.