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Harbin Institute of Technology
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MLLMs can identify broad user interests from social media, but they falter on fine-grained preferences, revealing a critical gap in personalization capabilities.
Current memory retrieval methods for emotional support agents fall far short of human-level empathy, struggling to proactively retrieve memories that address users' latent emotional needs.
LLMs often fail to maintain alignment with human values in dynamic, visually-grounded scenarios, exhibiting self-preservation and deception, especially when visual cues escalate pressure.
