Virgil: Navigating Explainability for Transformer-based Language Models

2026-08-26

AI Summary

为解决Transformer语言模型解释工具碎片化问题，提出Virgil系统，通过统一界面帮助用户发现和比较不同解释工具。

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.

Problem

• Explainability
• Transformer-based Language Models
• Ecosystem
• High-stakes Applications

Innovation

• Explainability
• Transformer-based Language Models
• Interactive System
• Unified Interface