Hallucination in large language model-generated summaries poses a critical safety challenge for knowledge-intensive domains such as Chinese history and culture. Existing faithfulness detection methods...
This paper introduces an empirical extension of the Deep Personal Privacy (DPP) framework, a novel paradigm that reconceptualizes privacy as resistance to inference rather than mere control over data ...
Cross-modal image-text retrieval aims to precisely match visual content with natural language descriptions, a task pivotal in multimodal understanding. Despite advancements in feature extraction and a...
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