2 papers
cs.CL2026
From Plausible to Actionable: A Position on LLM Self-Explanations
Elize Herrewijnen, Benedetta Muscato, Gizem Gezici +1
Large Language Models (LLMs) can generate natural language explanations that rationalize their own decisions, a phenomenon commonly referred to as self-explanations.Such explanatio…
cs.LG2024
The Explabox: Model-Agnostic Machine Learning Transparency & Analysis
Marcel Robeer, Michiel Bron, Elize Herrewijnen +2
We present the Explabox: an open-source toolkit for transparent and responsible machine learning (ML) model development and usage. Explabox aids in achieving explainable, fair and…