collaborators

5 papers

cs.AI2026

Enforcing LLM Safety through DMD-based Classification of Prompt-Response Embedding Dynamics

Mohamed Akrout, Olivera Kotevska, Dan Wilson

Large Language Models (LLMs) are increasingly deployed in high-stakes applications, yet their tendency to generate toxic, harmful, or policy-violating content poses significant ris…

cs.LG2026

Guarantees on Dynamical System Distinguishability for LLM Token Generation

Mohamed Akrout, Dan Wilson

Recent work has shown that classifying large language models (LLMs)' responses can be distinguished by modeling token embeddings as trajectories of a black-box dynamical system (DS…

cs.LG2026

Low-Cost Black-Box Detection of LLM Hallucinations via Dynamical System Prediction

Dan Wilson, Mohamed Akrout

Large Language Models (LLMs) frequently generate plausible but non-factual content, a phenomenon known as hallucination. While existing detection methods typically rely on computat…

math.DS2025

Identification and Computation of Slow Manifolds Using the Isostable Coordinate System

Dan Wilson

Koopman analysis can be used to understand the dynamics of a nonlinear dynamical system in terms a linear, but generally infinite dimensional operator. The isostable coordinate sys…

math.DS2025

Reduced Order Modeling of Nonlinear Dynamical Systems Using Slow Manifolds

Dan Wilson

Model order reduction in high-dimensional, nonlinear dynamical systems if often enabled through fast-slow timescale separation. One such approach involves identifying a low-dimensi…