The research emphasizes the importance of intricate task prompts, demonstrating how tailored input-output sequences lead to more effective training for LLMs in video generation tasks.
Through rigorous experiments, we show that our proposed model outperforms existing state-of-the-art methods, illustrating the diverse capabilities of large language models in video generation scenarios.
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