R1-Omni采用创新的结构化输出格式，增强了结果的可解释性：
典型输出示例：当分析愤怒情绪时，模型可能输出：
<think>视频中男子眉头紧皱、语速快，音频分析显示语音频率升高…</think> <answer>angry</answer>
这种结构化输出不仅给出结论，还完整展示推理链条，提高了结果的可信度和可解释性，适合需要透明化决策的科研和工业应用场景。
This answer comes from the articleR1-Omni: an open source model for analyzing emotions through video and audioThe
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资源优化方案HippoRAG2通过三个技术创新实现低成本索引：离线批处理模式：运行python main.py...
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