A single-pass black-box method models LLM outputs as dynamical systems via Koopman operators to detect hallucinations with claimed state-of-the-art accuracy and lower cost.
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The work defines slow manifolds via unstable-stable manifold intersections and applies the isostable framework to produce reduced models for Hodgkin-Huxley neuron networks and a detailed circadian oscillator, illustrated on two control tasks.
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Low-Cost Black-Box Detection of LLM Hallucinations via Dynamical System Prediction
A single-pass black-box method models LLM outputs as dynamical systems via Koopman operators to detect hallucinations with claimed state-of-the-art accuracy and lower cost.
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Reduced Order Modeling of Nonlinear Dynamical Systems Using Slow Manifolds
The work defines slow manifolds via unstable-stable manifold intersections and applies the isostable framework to produce reduced models for Hodgkin-Huxley neuron networks and a detailed circadian oscillator, illustrated on two control tasks.