AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Across three models and three post-training methods on competition math benchmarks, it is found that leakage is real, causal, and substantial: behavioral and representational analyses reveal shifts toward Think, and bidirectional interventions support a substantial causal contribution of thinking leakage.
This work shows that classical data compression provides an effective masking signal with no additional parameters, and identifies non-redundant content blocks and route long-range attention selectively through them by computing per-block gzip compression ratios.
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