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From Pixels to Tokens: Revisiting Object Hallucinations in Large Vision-Language Models
Hallucinations in large vision-language models (LVLMs) are a significant challenge, i. e., generating objects that are not presented in the visual input, which impairs their reliability.
Learning walk and trot from the same objective using different types of exploration
In quadruped gait learning, policy search methods that scale high dimensional continuous action spaces are commonly used.
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