Can Safety Emerge from Weak Supervision? A Systematic Analysis of Small Language Models
Can Safety Emerge from Weak Supervision? A Systematic Analysis of Small Language Models explores Self-MOA is an automated framework for aligning small language models using weak supervision to improve safety and helpfulness, reducing reliance on human-annotated data.. Commercial viability score: 7/10 in LLM Safety.
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