AI RESEARCH
ACT Now: Preempting LVLM Hallucinations via Adaptive Context Integration
arXiv CS.CV
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ArXi:2604.00983v1 Announce Type: new Large Vision-Language Models (LVLMs) frequently suffer from severe hallucination issues. Existing mitigation strategies predominantly rely on isolated, single-step states to enhance visual focus or suppress strong linguistic priors. However, these static approaches neglect dynamic context changes across the generation process and struggles to correct inherited information loss. To address this limitation, we propose Adaptive Context inTegration (ACT), a