AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Distortion-free watermarking enables reliable attribution of machine-generated text while preserving output distribution. However, existing methods operate independently on each generated token, making their detection capability fundamentally constrained by the entropy of the next-token distribution. We present Tandem...
Evaluations demonstrate that RubSE substantially outperforms na\"ive self-evolution in final-round and best-round settings, achieving more stable refinement trajectories and a higher trajectory-level performance ceiling.
This work proposes a general framework that utilizes weaker single-layer watermarks to preserve the entropy required for effective multi-layer ensembling and demonstrates that this counter-intuitive strategy mitigates signal decay and consistently outperforms strong baselines in both detectability and robustness.
Clue-OPSD, a clue-privileged on-policy self-distillation framework for long-video understanding that uses clue intervals as privileged supervision without relying on ground-truth answer labels, while requiring no clue annotations or additional modules at inference time is introduced.
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