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Experimental results and analyses show that IMFD improves multi-face forgery detection by integrating face bounding boxes into the instruction, and consistently outperforms various state-of-the-art methods.
TripPattern is a watermarking framework that formulates text watermarking as a pattern-based matching task using three vocabulary partitions, which maintains LLM generation quality while achieving robust watermark detectability.
This study model heterogeneity in humor preferences in Oogiri by clustering users with voting logs and estimating cluster-specific weights over interpretable preference factors using Bradley-Terry-Luce models and finds that user clusters exhibit distinct preference patterns and that the LLM results can resemble those o...
A scalable evaluation framework for simile understanding is proposed that includes a controlled simile dataset in which metaphorical vehicles are drawn from a predefined set of object-detectable categories and combined with diverse templates.
This work finds that models cannot reliably reconstruct the original meaning and layer-wise probe classifiers fail to detect the harmful intent of perturbed prompts, and perturbations can occasionally reduce attack success by inducing off-topic or incoherent responses.
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