AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This work introduces ManiVid, a unified forensic analysis task covering forgery detection, artifact grounding, and anomaly explanation for manipulated videos, and proposes ManiVidLens, a unified framework for explainable video forgery analysis.
This work presents the VOR Dataset (VORD), the first benchmark dataset providing both paired edited videos and graffiti masks, and introduces VOR-MDSM, the first perception-driven VLM-based scoring model specifically designed for mask-guided VOR.
This work introduces Spatially-Grounded Thought Tokenization to explicitly align special tokens with spatial locations for clear spatial correspondence and visual interpretability, and proposes Mixture-of-Thought-Tokens, a new free-form multimodal grounding method that bridges the perception-reasoning gap.
MMBench-Live is presented, a continuously evolving multimodal benchmark built by a multi-agent-driven automated pipeline that preserves stable model rankings, maintains semantic alignment with the original benchmark, and exhibits weaker contamination-related memorization signals, suggesting a practical and scalable par...
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