X-Guard: Multilingual Guard Agent for Content Moderation

X-Guard is a 3.1 billion parameter multilingual safety agent developed by saillab, specifically designed to address vulnerabilities in existing LLM safety frameworks, particularly in non-English contexts. Traditional safety measures often struggle with adversarial attacks in low-resource languages and code-switching techniques due to their English-centric design. X-Guard aims to provide transparent and effective content moderation across 132 languages.

Key Capabilities and Features

• Multilingual Safety: Effectively defends against low-resource language attacks and sophisticated code-switching attacks.
• Transparent Decision-Making: Unlike some existing solutions, X-Guard emphasizes transparency in its safety evaluation process.
• Comprehensive Training Data: Developed using a comprehensive multilingual safety dataset spanning 132 languages with 5 million data points.
• Two-Stage Architecture: Utilizes a custom-finetuned mBART-50 translation module combined with an evaluation X-Guard 3B model, trained via supervised finetuning and GRPO.
• Robust Evaluation: Empirical evaluations demonstrate its effectiveness in detecting unsafe content across numerous languages.

Use Cases

X-Guard is ideal for applications requiring robust and transparent content moderation in multilingual environments, especially where traditional, English-centric safety systems fall short. It's particularly useful for identifying and mitigating harmful language in diverse linguistic contexts, including those involving code-switching.