Virgil: Navigating Explainability for Transformer-based Language Models

Martino Ciaperoni, Sezer Kutluk, Benedetta Muscato, Marta Marchiori Manerba, Fosca Giannotti
8/26/2026
cs.CLcs.LG

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Abstract

Explainability for transformer-based language models is becoming crucial as these systems are deployed in high-stakes applications. As a result, the ecosystem of explainability tools is rapidly evolving, becoming richer, but also more fragmented and harder to navigate. To address this challenge, we present Virgil, an interactive system that lets practitioners and researchers, including non-experts, navigate explainability tools for transformer language models. Supported by a curated knowledge base, the system enables users to discover and compare explainability tools within a unified interface.

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Cite this paper

@article{ciaperoni2026virgil,
  title  = {Virgil: Navigating Explainability for Transformer-based Language Models},
  author = {Martino Ciaperoni and Sezer Kutluk and Benedetta Muscato and Marta Marchiori Manerba and Fosca Giannotti},
  year   = {2026},
  eprint = {2608.25555},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2608.25555v1}
}

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