Libra-Guard, a Chinese-language AI content safety model, reaches 86.8% accuracy on the new 5,720-sample Libra-Test benchmark, beating open-source baselines and approaching GPT-4o and Claude-3.5-Sonnet.
In: Proceed- ings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region
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Libra: Large Chinese-based Safeguard for AI Content
Libra-Guard, a Chinese-language AI content safety model, reaches 86.8% accuracy on the new 5,720-sample Libra-Test benchmark, beating open-source baselines and approaching GPT-4o and Claude-3.5-Sonnet.