Hugging Face Daily Papers·· 4d agoFeaturedAI Score60
On-Policy Self-Training: Data-Free Self-Improvement in Large Language Models
On-Policy Self-Training: Data-Free Self-Improvement in Large Language Models
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AI Overview
Can a language model improve itself without a single human-written question or answer? We introduce On-Policy Self-Training (OPST), which reformulates on-policy self-distillation as a self-training framework, driven by self-generated question-answer pairs and privileged...
Curator's Note
该研究提出了一种无需人工数据的数据自由自我训练方法，对大型语言模型的发展具有重要意义。
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On-Policy Self-Training 方法
“Can a language model improve itself without a single human-written question or answer? We introduce On-Policy Self-Training (OPST), which re”
Source: Hugging Face Daily Papers · huggingface.co
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