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mitigate hallucinations in video-based LVLMs for autonomous driving. Objectives Design, develop, and evaluate novel method(s) to detect and localize hallucinations in LVLM outputs for autonomous driving
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of the incidence of tick bites outside forests, often considered the primary habitat of ticks. Furthermore, as management methods for forest environments and other environments such as parks and gardens evolve
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above-average academic performance. Have experience with data collection and analyzing data using quantitative research methods. Have great analytical skills and are digitally savvy. Feel comfortable
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