AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Results show that first-token clues can guide multi-token concept recovery, while subsequent hidden states provide vectors for readout and intervention.
This work proposes FineMoLA, a weakly supervised framework that learns fine-grained frame--phrase correspondence directly from clip-level annotations, and efficiently infers pseudo frame-level alignments without human labeling.
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