Tag
The paper generalizes contrastive decoding to a conflict-aware paradigm that dynamically allocates authority between external context and parametric priors, proposes the TriState-Bench evaluation protocol, and introduces Adaptive Regime Routing (ARR) to resolve asymmetry between correction and resistance.
This paper presents PCNet, a probabilistic circuit trained as a tractable density estimator on LLM residual streams to detect hallucinations as geometric anomalies. It also introduces PC-LDCD, a dynamic correction method that only intervenes on hallucinated tokens, achieving near-perfect detection and reduced corruption rates.