Repository for: Automated L2 Proficiency Scoring: Weak Supervision, Large Language Models, and Statistical Guarantees
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Updated
Nov 24, 2025 - Python
Repository for: Automated L2 Proficiency Scoring: Weak Supervision, Large Language Models, and Statistical Guarantees
The LLM Defense Framework enhances large language model security through post-processing defenses and statistical guarantees based on one-class SVM. It combines advanced sampling methods with adaptive policy updates and comprehensive evaluation metrics, providing researchers and practitioners with tools to build more secure AI systems.
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