CritiqueBank-11M: A Large-Scale Dataset for Training Adversarial AI Validators
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资源简介：
AI safety researcher focused on adversarial evaluation methods for autonomous systems. Developed MiniCrit, an adversarial critique model family trained on CritiqueBank-11M (11.7M examples), achieving 35% reduction in flawed AI outputs across 38,000+ production validations. Research spans machine learning safety, financial AI, and multi-agent systems. Open-source contributor with models and datasets released under permissive licenses.
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Zenodo创建时间：
2026-01-06
