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Shanghai Jiao Tong University
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MLLMs show a striking performance gap in understanding evoked versus expressed emotions, revealing a crucial blind spot in current AI emotional intelligence.
Reward models that adapt to fine-grained, task-specific criteria can significantly improve text-to-image generation by better aligning with user preferences.