AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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ABIDE (Apply-Bias Investigation via Decision-score), which adapts signal detection theory to Apply-vs-Suppress decision scores read directly from logits reveals a generation-induced Apply bias.
IHDec (Instruction Hierarchy-steered Decoding) leverages JSD to automatically detect token-level hierarchy violations and dynamically executes contrastive decoding to suppress misaligned subordinate roles, and outperforms training-based baselines in multi-turn conflicts while fully preserving general response quality.
Field-Aware Contrastive Decoding (FACD) is proposed, a training-free strategy that amplifies suppressed disposition-sensitive signals, significantly closing the performance gap without sacrificing moral-character performance.
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