AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
Author
Nara Institute of Science and Technology
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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 work proposes Quit (Quantifying Uncertainty for Incremental Termination), a novel early-stopping strategy for the entire generation--reranking pipeline that incrementally generates and reranks candidates, stopping when the best reranking score stabilizes.
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.
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