most citedDetecting and Understanding Vulnerabilities in Language Models via Mechanistic Interpretability

7 citations · 7 across the 1 of their papers we have counts for

collaborators

2 papers

physics.flu-dyn2026

Physics Informed Neural Network model for the dynamical study of Abdominal Aortic Aneurysm

Adrián Robles Arques, Martín Ruiz Fernandez, Javier Sanchis +2

We present the development and application of a three-dimensional Physics-Informed Neural Network (PINN) framework for the investigation of haemodynamic behaviour in the human aort…

cs.LG2024★ 7 cited

Detecting and Understanding Vulnerabilities in Language Models via Mechanistic Interpretability

Jorge García-Carrasco, Alejandro Maté, Juan Trujillo

Large Language Models (LLMs), characterized by being trained on broad amounts of data in a self-supervised manner, have shown impressive performance across a wide range of tasks. I…