✨JustRL: Scaling a 1.5B LLM with a Simple RL Recipe
📝 Summary:
JustRL uses a minimal single-stage RL approach with fixed hyperparameters to achieve state-of-the-art performance on 1.5B reasoning models. It uses less compute and shows stable training, suggesting that complex RL methods for LLMs may be unnecessary and can even hinder exploration.
🔹 Publication Date: Published on Dec 18
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.16649
• PDF: https://arxiv.org/pdf/2512.16649
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For more data science resources:
✓ https://t.iss.one/DataScienceT
#ReinforcementLearning #LLMs #DeepLearning #AIResearch #ModelScaling
📝 Summary:
JustRL uses a minimal single-stage RL approach with fixed hyperparameters to achieve state-of-the-art performance on 1.5B reasoning models. It uses less compute and shows stable training, suggesting that complex RL methods for LLMs may be unnecessary and can even hinder exploration.
🔹 Publication Date: Published on Dec 18
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.16649
• PDF: https://arxiv.org/pdf/2512.16649
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
#ReinforcementLearning #LLMs #DeepLearning #AIResearch #ModelScaling
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