[2026-1] 백승우 - Self-Improving Pretraining:using post-trained models to pretrain better models

Self-Improving Pretraining: using post-trained models to pretrain better models

Ensuring safety, factuality and overall quality in the generations of large language models is a critical challenge, especially as these models are increasingly deployed in real-world applications. The prevailing approach to addressing these issues involve

arxiv.org

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[2026-1] 백승우 - Self-Improving Pretraining:using post-trained models to pretrain better models

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